Abstract
Textile production methods present a rich set of strategies for developing materials with both form and function encoded at the fiber scale. Beyond simply acting as a static flexible barrier, the ability to incorporate environmentally responsible materials into fabric architectures significantly expands the textile design space by adding on-demand and programmable 3D structural morphing. To this end, liquid crystal elastomers (LCEs) are a promising candidate for enabling these reversible actuation behaviors in fabric-based constructs. Drawing on traditional textile manufacturing techniques and through a detailed exploration of the vast woven textile design space, we have demonstrated programmable and reversible curling, puffing, and in-plane shrinkage behaviors by embedding the functionality of LCE fibers into single and multi-layered woven structures. Predictable shifts in fabric structure directly influence the mechanical properties and the resulting form factor of the actuated textiles, which can in turn be effectively leveraged for the generation of multi-functional devices, enabling new directions for the engineering of flexible stimuli-responsive materials.
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Introduction
Textiles are one of humankind’s earliest engineered technologies, with string abaci and woven baskets dating back millennia1. The versatility and adaptability of fabrics drive their central role in everyday life, with applications that range from clothing to shelter. As a promising class of materials for engineering applications, textiles couple a flexible, lightweight nature with the potential for programming physical properties across different length scales2,3. Transitioning from viewing textiles as substrates from which active components such as power supplies, actuators, and sensors are attached, fiber scientists and textile engineers have begun leveraging the rich history of textile construction methods to develop fabrics with integrated actuators and sensors1,4,5,6,7,8,9,10,11. When electronics are functionally integrated into specific textile architectures, hard components like circuits are recast as soft and flexible systems. With these advantages in mind, engineers have turned to textile-based materials for use in soft autonomous garments, flexible robotic systems, adaptive architectures, and biomedical therapeutics1,3,12,13,14,15. As material scientists continue to develop intelligent fibers that respond to an even wider range of environmental stimuli, there is an equally broadening design space for the incorporation of new functionalities into textile-based devices.
Knitted and woven fabrics
Knit and woven fabrics (Fig. 1) exhibit unique properties based on programmable variations in their structural hierarchy2,16,17,18, spanning from fiber to yarn, to fabric structure, and final fabric form. Fiber is formed into yarn, which is then transformed into varying fabric structures that govern the mechanical properties of the textile. Despite the widespread use of both manufacturing technologies in the garment industry, knits and wovens, due to their structural differences, exhibit unique sets of material properties in terms of durability and anisotropy19,20. Knitted textiles are composed of interlocking loops of yarn, resulting in a fabric with high elasticity and significant anisotropy. The continuous fiber used in knitting enables rapid production and mechanical flexibility, but the resulting fabrics exhibit reduced structural durability, as a single yarn break can cause the fabric to unravel. Woven textiles, by contrast, are composed of yarns interlaced at right angles, enabling mechanical properties such as high tensile strength and minimal stretch. While both knitting and weaving have unique levels of programmability, basic weaving allows for control over the simultaneous tuning of material properties running lengthwise and crosswise through the interlacing of two distinct elements (warp and weft), while knitting primarily allows for the material programming of loops running lengthwise. For this reason, the research presented here focuses on the design and manufacturing of woven fabrics.
In the production of woven fabrics, warp yarns/fibers are tensioned vertically, and weft strings are perpendicularly passed over and under the warp to create different structures. These intersections are enabled by the threading of warp yarns through a sequence of heddles on the loom (Figs. 2, S1, S2), and variations in these sequences allow for the creation of interlaced fibers, known as weave structures (Fig. 3). Precise programmable control over the distribution of warp and weft fibers (which can be simply depicted using a bitmap-like notation, Fig. 3), therefore presents an opportunity for the creation of intelligent, multi-layered textiles through variations in yarn architecture by modulating properties such as yarn material, twists per inch, and cross-sectional organization5,8,21,22,23. Fabric architecture can be further altered by modifying the interlacing of yarns as structural patterns17,18,24,25,26,27. Beyond different patterns, weaving also permits the simultaneous and location-specific incorporation of different materials, thus allowing for tunable stiffness, transparency, conductivity, and color26,28,29,30. These differences in yarn properties, component placement, and patterning can result in a range of active and inactive behaviors and properties, thus defining the structural, haptic, and mechanical properties of a woven material.
Functional schematic of a standard textile loom (A), and overview of the yarn lifting mechanisms used in creating woven geometries (B) In this diagram, the different components of the loom including the levers, heddles, harnesses, reed, warp tensioner, and woven fabric are labeled. Levers are attached to harnesses through string connections, enabling the controlled lifting and lowering of different warp threads. Each harness contains hundreds of heddles, and the warp threads are placed through these heddles in specific sequences. These warp threads are then manually threaded through the reed and tensioned along a beam at the front of the loom. A weft yarn is passed back and forth through a channel in the warp, which is created when different harnesses are lifted, creating the woven fabric over time.
Fiber or yarn tensioning during the weaving process play a critical role in determining the final shape of an active or inactive woven fabric, as warp and weft yarns can be individually tensioned to change the resulting woven structure through relaxation and differential shrinkage. At the fiber level, materials like elastics can carry tension due to their ability to stretch, leading to significant structural change when a woven structure is removed from the loom and subsequently relaxes; yarns adjust and settle into a different configuration in the absence of warp and weft tension31. Furthermore, differential shrinkage can take place if the weave is post-processed in a manner that transforms fiber material properties; for example, when wool fibers are exposed to water and heat, scales along the fibers interlock to create an irreversibly denser and tighter structure32. Furthermore, environmental factors, such as moisture absorption, can also be a catalyst for fiber relaxing or swelling, resulting in the induction of intentional or unintentional fabric-wide dimensional or geometric changes8.
Diagram illustrating how bitmap patterns are encoded in a woven form. (A) a bitmap diagram of the relationship between warps and wefts in a woven draft, (B) a 2D illustration of a woven form, and (C) a 3D model of the resulting plain weave structure. (D) Models of warp and weft cross-sections illustrating how in a perfectly balanced weave structure, the warp and weft are the inverse of one another.
Actuated textiles
Actuated textiles are fabrics that are engineered to respond to stimuli and exhibit dynamic behavior1,4,16,19, and are created by integrating actuatable materials into traditional knit and woven textile structures31,33,34. The advantage of these material technologies lie in their familiar form factor, flexibility, durability, and lightweight construction, and previous work has leveraged the programmable nature of knit and woven structures to develop responsive fabrics for thermoregulation, haptics, therapeutic compression, and grasping applications1,23,35,36,37,38. Programmable geometric concepts such as kirigami and origami have also been leveraged for the production of knitted soft robotics with desired self-folding and auxetic kinematic behaviours1.
To achieve actuation in these textile-based materials, bladder-based fluidic actuators, cable-driven actuators, and shape-changing material-based actuators have recently been employed to create knit and woven textile architectures that change shape, stiffness, and/or conductivity in response to external forces such as heat, pressure, moisture, and electric currents23,39,40. For example, external or internal liquid or air sources can be employed to expand textile-covered bladder-based fluidic actuators to induce a shape change1, and variable stiffness can be achieved through graduated pressure levels. Within these contexts, custom textile patterns with directionally specific flexibility have also been successfully leveraged to create devices that exhibit a range of motions, including bending, contraction, and extension40,41,42,43. In an alternative approach, cable-driven actuators use external mechanical linkages to apply force to the textile35. While they can be used to create morphable textile constructs, most of these actuators are incompatible with traditional knitting or weaving hardware, and as such, they cannot be co-knitted or woven into a textile during fabrication, and are usually added in a secondary manufacturing process, or slid into a pre-formed void in the growing textile. To help address these limitations, the recent emergence of engineered morphing fibers with reversible extensile and contractile behaviours presents a growing design space for active woven textiles17,18,19, bridging previous work on engineered weave structures and novel fiber-based mechanisms.
Environmentally responsive yarns
Active yarns are composed of shape-changing materials that can enable specific functions within a fabric structure. Within this larger category of multi-functional yarns, environmentally responsive yarns represent one such subclass and include those consisting of fluid-filled tubes (fluidic actuators), shape memory alloys (SMAs), and liquid crystal elastomers (LCE)1,42,44,45,46,47. Fluidic active yarn actuators can respond to changes in ambient pressure, temperature variations, moisture, and chemical gradients, and have been used for wearable applications, including medical textiles, and assistive devices23,40,48. Despite this diverse application space, the presence of an internal liquid channel within the constituent fibers adds an additional step to the fiber manufacturing process and somewhat limits the weave geometry design space due to problems associated with compression and kink formation within the tubular components23,40. One approach to resolving these design limitations is through the use of SMAs. The unique behavior of SMAs such as NiTi alloys rely on the cooling-induced phase transformation from austenite (a higher-temperature phase) to martensite (a lower-temperature phase), and linear actuation can be generated by preprogramming the material at high temperatures and then cooling the material to its martensite phase49. When reheated, the material will “remember” its programmed shape in the austenite phase, and repeated actuation is possible through applied heating and cooling, which can be controlled through an applied current. Representing one of the most developed fields in active textile materials, SMAs have been sewn, interlaced, knit, and woven to create compression garments and custom-fit wearables50.
Liquid crystal elastomer (LCE)-based actuators
In contrast to SMA wires, which exhibit relatively low levels of linear extensibility and contractibility, LCE fibers (Fig. 4) can exhibit length changes up to 50% when exposed to external stimuli51,52. Shape-changing and elastic properties are enabled through the integration of long, flexible, cross-linked polymer chains with liquid crystal molecules (mesogens). The mesogens align themselves in specific orientations based on external conditions, and when these stimuli shift, they undergo a phase transition that alters molecular alignment, leading to macroscopic deformation in the polymer network. Due to these unique properties, LCE actuators have often been described as “artificial muscles”, and can be modified to respond and change shape in response to a wide range of environmental stimuli such as heat, electric fields, magnetic fields, and light, by simply varying their chemistry and their additives16,52,53. Furthermore, the versatility, biocompatibility, and efficiency of LCE actuators have allowed for advances in robotic and biocompatible smart textile-based applications51,53,54.
Based on this unique combination of desirable properties, LCE fibers represent a promising actuation technology due to their ease of integration into fabric substrates for pre-programmed behaviors such as stretching, bending, shrinking, and curling38,52. LCE fiber actuation is silent, rapid, and reversible, and as such, these properties have been leveraged to create intelligent micromachines, artificial muscles for exoskeletons, and active, responsive textiles1,13,23,41,47,48. Furthermore, recent advances in the development of continuous spinning technologies have allowed for the creation of LCE fibers that can be extruded at the scale of hundreds of meters, opening new opportunities for the production of large-scale, environmentally-responsive textile constructs1,9,16.
While existing research on digital simulations of shape-changing fabrics has permitted the exploration of new design spaces for active textiles55, the ease of LCE fiber manufacturing and its compatibility with standard knitting hardware presents new opportunities for the production and study of fully actuatable tangible textile prototypes. While previous efforts in this field have investigated morphing behaviors in knitted geometries composed entirely of LCE fibers20, a comprehensive understanding of how the fractional incorporation of LCE fibers into technologically relevant woven fabric architectures has remained largely unexplored. To bridge this knowledge gap, here we describe how weave geometry influences the applied forces and deformation modes of heat-response LCE-containing fabrics. Our process centers on combining weaving knowledge and programmable transformation in the design process, blending diverse materials and techniques.
Results
The LCE fiber production and collection processes employed in the present study were modeled after those reported previously43,56. Specifically, this strategy begins by continuously extruding LCE fibers through a brass nozzle with an internal bore diameter of 1 mm. The resulting fibers were subsequently cured mid-air by passing them under an array of UV LEDs and then spooled onto a roll. An oil bath was used mid-cure to create a barrier between adjacent fibers during initial coiling to prevent the fibers from sticking to one another during the spooling process. LCE fibers were lastly coated in talc powder after curing to increase fiber longevity and reduce fiber-fiber friction during the weaving process (Fig. 5). Beyond these advantages, the talc coating offers an additional unintended benefit, in that it increases the average electron density of the fibers, making for their clear identification during backscattered scanning electron microscopy and elemental mapping-based imaging studies (Fig. 5). For all of the experiments described herein, 1 mm diameter LCE fibers were employed, and their measured mechanical properties were consistent with those reported previously16,56. Despite the great potential for leveraging high-speed automated weaving processes for the production of novel fabric architectures, for the work presented here, we chose to employ handweaving, which is highly customizable and permits strict control over fabric tension, making it beneficial for small-scale prototyping with new materials.
LCE fiber and fabric production. (A) Diagram of our LCE fiber manufacturing process, which includes fiber extrusion, winding, and coating. (B) A system overview, highlighting the UV-cured wet extrusion setup, talc-coated fibers with surface details (back-scattered scanning electron micrographs), and elemental mapping from a region of a woven fabric. The silicon (Si) signal comes from its high content in the talc mineral coating: Mg3Si4O10(OH)2. For scale, all of the LCE fibers each measure 1 mm in diameter.
To explore the actuatable design space, we incorporated our LCE fibers into a broad range of commercially relevant woven textile architectures guided by a hierarchy in the number of fabric layers (Figs. 6 and 7, S3, S4). Textile layers are defined by the number of warp systems that are used to create distinct fabric planes, resulting in variable fabric strength, flexibility, and topology5. While there are potentially thousands of weave patterns for single and multi-layered fabrics, this work focused on some of the most commonly utilized commercial patterns. The different fabric layers were created by manipulating threading techniques, warp and weft ends per inch, yarn tension, and tie-downs within each woven structure.
Weaving parameters like ends per inch (EPI) and picks per inch (PPI) are important to consider during the design process, as they directly impact fabric density, texture, and structural stability. EPI refers to the density of yarns within one inch of a fabric warp; multi-layered fabrics have a higher count of warp ends per inch, and these ends are separated to weave many layers simultaneously. PPI refers to the density of weft yarns in one inch of the fabric width. A tightly packed fabric will have a higher PPI, while a more permeable fabric might have a lower PPI. In Fig. 8, the two samples shown have the same PPI and varying EPI based on the number of structural layers.
The weave structures employed in the present study can be divided into two major classes based on their warp and weft density: single-layer fabrics and double-layer fabrics (Fig. 9). A detailed description of each weave structure listed in Fig. 9 can be found in Figures S3 and S4. After exposure to an external heat source, these different weave patterns resulted in predictable morphing behaviors.
The most straightforward single-layered fabric is the plain weave, which is commonly used to create functional fabrics such as sensors and memory units4. Other single-layer fabrics include, but are not limited to, twills, inlay patterns, varied float structures, and gauze fabrics. In the present study, we integrated LCE fibers into gauze-like single-layer fabrics such as spaced plain weave and mock leno, as well as denser single-layered geometries such as Swedish lace and waffle weave structures (see Figures SI3, SI4, and the methods section for details on these different textile architectures).
Multi-layer fabrics are composed of a warp that creates two different structural wefts and can be composed of a wide range of different yarn types, thus enabling diverse structural hierarchies4. A double-layer structure allows for the creation of pockets, channels, and multidimensional forms, and is a common design strategy seen in the e-textile literature57. The interplay between the two layers allows for the creation of textiles with distinct material properties: the thickness of a double weave depends on the number of tie-downs, or moments of intersection between the two layers58. To understand the interplay between these different parameters, the present study also investigated the actuation behaviors of fabrics with double-deflected wefts and double wovens with tie-downs and floats (see Figures S3, S4, and the methods section for details on these different textile architectures).
A comprehensive understanding of actuation behavior is critical for designing, controlling, and operating responsive fabrics with specific performance characteristics, and for simplicity in the present study, the direction of motion was used to describe these behaviors. At the fabric level, tension is reduced through floats and introduced through tie-downs in the warp and weft matrix (Fig. 10). Tie-downs secure warp ends and are critical for maintaining uniform stability in a woven fabric.
Diagrams illustrating different approaches to parameterizing weft structure for single and double-layer fabrics. The boxed regions denote locations along the woven textile where the structure is altered. For single-layer fabrics, this represents changes in the number of floats along the fabric’s surface. For double-layer fabrics, the boxes highlight the number of interactions between the two fabric layers.
When designing with a shape-changing weft material, tie-downs may introduce friction between active and inactive fibers, resulting in different actuation behaviors. The intentional placement of different tie-downs within a textile structure can thus be leveraged for the parameterized control of the overall ranges of programmable motion. As noted in Fig. 11, uniform, consistent tie-downs with minimal floats on the front of the fabric result in side-to-side deformations (present in structures such as twills). Fewer tie-downs result in floats along the face and/or back of the fabric and allow for pronounced actuation behaviors such as curling (present in huck lace, waffle weave) and puffing (double-deflected weft, and multi-layered structures). Single-layer fabrics tend to curl upward, and contract (in a side-to-side fashion) based on the number of floats on the face or back of the fabric structure, while multi-layered fabrics tend to rotate and contract on more than one fabric plane, allowing for additional actuation behaviors such as expanding and puffing (Fig. 11).
Beyond these initial studies which provided a qualitative understanding of the actuation behaviors of the different woven architectures, our subsequent investigations were primarily focused on directly assessing their specific performance metrics. To quantitatively evaluate the properties of these LCE fibers as functional actuators, we first investigated the long term durability of a single 1 mm-diameter LCE fiber through approximately 100 heating and cooling cycles (Fig. 12). Throughout these measurements, minimal performance degradation was observed, which corroborated previously reported findings with similar material systems16,43,51,52,54,56.
Expanding these measurements to the fabric scale, the mechanical performance of a twill sample was assessed through multiple heating/cooling cycles (Fig. 13). Corroborating the findings of previous studies16,44,45,51,59,60,61, minimal performance degradation was observed across 50 heating/cooling cycles, and when actuated, these textile samples demonstrated a maximum contraction force of approximately 0.9 N.
To understand how local interactions between weft and warp yarns in the textile matrix influenced blocking force (the maximum force generated by a powered actuator held at full elongation) when actuated, a series of mechanical tests on the different fabricated samples were performed using a Cellscale Univert S mechanical testing device equipped with a 1 N load cell (Figs. 14 and 15, and summarized in S5). During these tests, the fabric samples were placed 15 cm away from a heat gun that blew 160 °C hot air on them for 3-minute intervals with 2–3 min cooling times between heating cycles. For all of these tests, the fabric surface temperatures were ca. 65 °C (as measured with a thermal camera). The variability in cool-down time from sample to sample was influenced by the thermal properties of the woven fabric and was adjusted on a sample-by-sample basis (the heating cycle was initiated once the measured force returned to pre-testing values). Subtle differences in blocking force that related to the progressive increase in the amount of interaction between warp and weft yarns were observed across all of the samples. These results demonstrate how predictable, seemingly small shifts in an LCE fabric geometry, can impact the actuated textile’s blocking force.
Overview of blocking force measurements for single-layer fabrics. Vertical columns detail specific weave structures (referenced in methods, and Figures S3, S4). Horizontal rows show low and high magnification SEM images of the fabric’s surface, drawings of fabric structure with LCE placement highlighted in different colors, and the actuated blocking force of each fabric structure over three heating/cooling cycles. Due to the inherently higher electron density of the LCE fibers (because of their talc coatings), these (brighter) fibers are clearly visible in the back-scattered SEM images.
Overview of blocking force measurements for double-layered fabrics. Vertical columns detail specific weave structures (referenced in methods, and Figures S3, S4). Horizontal rows show low and high magnification SEM images of the fabric’s surface, drawings of fabric structure with LCE placement highlighted in different colors, and the actuated blocking force of each fabric structure over three heating/cooling cycles.
Integration of resistive heating elements for controlled morphing
To demonstrate this design freedom and for the production of more complex on-demand self-morphing textile constructs, we next incorporated conductive fibers into our textiles which functionally behave as internal resistive heaters. When electrically conductive fibers (stainless steel thread) and thermally actuating fibers (LCE) are woven together, the different functional fibers can be difficult to visualize due to weft density and weave structure. To address these limitations, X-ray imaging was used to first characterize the spatial position of different fiber compositions within a series of plain woven textile samples (Fig. 16). For these different samples, the number of electrically conductive fibers (five) was consistent across the four samples, while the number of LCE fibers varied from zero to five.
To quantify how this increase in LCE fiber number affected exerted forces and actuation speeds, we performed a series of actuation force measurements on different fabric samples (Fig. 17). Sets of four plain woven samples (see Fig. 16) were fabricated, each of which measured 8.5 cm x 1.5 cm in size, such that direct comparisons could be made. Each sample contained five weft rows of electrically conductive stainless-steel fibers staggered with increasing amounts of LCE fiber per weft row (Fig. 17). One sample contained no LCE fibers, and five rows of conductive fiber, and the other three samples contained 1, 3, and 5 rows of LCE fibers, with the same five conductive wefts. The samples were repeatedly power cycled (0.5 A at ~ 12 V for 30 s, 0 A for 60s), and the average measured force for the 1, 3, and 5 fiber samples were 0.116 N, 0.337 N, and 0.655 N, respectively. Despite being hand-woven samples, these results demonstrate a generally linear increase in generated force with increasing numbers of actuating fibers. For the sample that contained no LCE fibers, a negative ‘pushing’ force can be observed during heating. Although cotton is described as an inert fiber, the sample containing no LCE fibers displayed a pushing force (or negative contraction) which can be attributed to the known expansion of the steel and cotton fibers62 when heated.
Overview of blocking force characterization for four plain weave samples with five integrated rows of conductive thread (resistive heaters), and 0, 1, 3, and 5 rows of LCE fiber. Left to Right: Grayscale legend identifying the different woven components and a corresponding x-ray transmission image showing the five conductive threads in detail, schematics and photos of the fabricated samples, and their corresponding blocking force measurements over 6 consecutive 30 s heating (H) and 60 s cooling (C) cycles.
Textile assemblies for application development
Design decisions across multiple levels of the textile structural hierarchy (at the polymer, fiber, and fabric scales) can profoundly impact the performance of LCE-based textiles and devices (Fig. 18). On the polymer level, refinements to chemistry and chain length can impact mesogenic connectivity, phase transition temperatures, and chain alignment, which can in turn influence LCE performance and responsiveness to stimuli60,61. The subsequent integration of these active fiber elements with their passive (non-actuating) counterparts can be further leveraged to create material systems with pre-programmed behaviors for a potentially broad range of applications.
To explore the diverse application space for different actuatable textile architectures, we next created three functional prototypes, which exhibited different levels of actuation and programmable control. In the first example, Swedish lace samples were fabricated with LCE fiber, conductive threads, and cotton thread to create panels that could be individually actuated through a 4-channel electrical controller (Fig. 19A). Leveraging the ability of single-layer fabrics to curl upward and reverse back to a flat plane, panels were gradually actuated between temperatures of 25 °C and 65 °C (as measured with a thermal camera). The actuation of thermo-responsive active fibers occurs across a range of temperatures, where actuation begins at a lower temperature and ends at a higher temperature. This temperature range varies depending on the material employed. For example, SMAs, due to a narrow temperature range, generally exhibit a binary ‘on and off’ actuation50. In contrast, the LCE composition we employed in the present work operates across a ca. 35 °C temperature range43. While this large temperature range means that we cannot achieve the swift actuation possible with SMAs, as demonstrated here, partial heating affords a range of actuation displacements.
While Fig. 19A displays heating elements only embedded along the weft of the fabric, conductive elements can also be integrated along both the length and width of the woven fabric (Fig. 19B). When paired with LCE fibers, this design creates a transforming heat-responsive matrix, where actuation can be controlled based on the placement of overlapping conductive warp and weft threads63,64,65,66. The interlacing of warp and weft yarns at 90° angles allows for a conductive patterning that can be mapped and controlled digitally. Figure 19B demonstrates a double-deflected weft fabric with location-specific puffing and curling, providing a tractable experiential framework for the future development of fabrics with actuating and sensing matrices. This ability to regio-selectively control the actuation of a woven form may allow for the development of multi-layered, reconfigurable fabric shape displays that actuate over time based on designed inputs29,64,65, or for potential for use in responsive garments, such as wearables that use selective warmth for therapeutic applications.
Assembly of textile elements for the generation of more complex devices across single-layered architectures organized into a self-folding box-like form (A), and multi-layered architectures organized into a programmable grid-like array of individually addressable elements (B). For A, each square face of the box measures ca. 4 × 4 cm, and for B, the diameter of each circular feature is ca. 3 cm, and when actuated, exhibits a vertical displacement of ca. 2 cm.
For our third functional prototype, we utilized a 16-harness dobby loom (Fig. 20A) to fabricate 5 m of fabric (Fig. 20B, C) for the production of a fully fashioned garment. Unlike a jacquard loom, a dobby loom allows the weaver to manually adjust the tension and placement of weft threads through physical intervention. The digital automation of the warp and physical control of the weft is ideal for rapid prototyping with novel weft fibers.
Overview of the process for producing 5 yards of LCE-containing fabric on a digital loom. (A) photograph of the dobby loom used to create the fabric, (B) detail of the 5 different fiber types employed in the design, (from left to right) conductive thread, gray cotton, white cotton, black cotton, and LCE fiber, (C) magnified view of the double woven fabric on the loom.
Primarily used for industrial production, digital looms utilize a bitmap-based user interface (Figs. 6 and 7, S6, S7) and an automated actuation system to control the position of individual warp (longitudinal) and weft (lateral) threads. The direct translation of digital information into physical form allows for faster fabrication through the automation of the handweaving process (Figures S8–S18)5,6,26,67.
During the production of our garment, we drew design inspiration from a critical historical reference. The Shuttle Craft Book of American Handweaving by Mary Meigs Atwater62. Example weave drafts Atwater’s book can be found in Figure S19. The inspiration for the design in Figs. 21 and 22 was a drawing of a weave draft from 1928. Beyond its connection to historical work, this double-deflected weave structure was chosen due to its programmable puffing and shrinking behavior (Fig. 18).
Overview of actuation behavior of a large-scale LCE-containing fabric. (A) Magnified plan view (upper) of a 1 m wide by 4 m long LCE fabric (lower), with a spool of thread for scale. Plan and lateral views of the unactuated (B) and actuated (C) LCE fabric, showing the resulting deformation in pattern and topology.
Programmable fabrics present an opportunity to develop wearables with novel functionalities, including active tailoring to specific stimuli. Figure 22 implements the final stage of the hierarchical schematic outlined in Fig. 18, by developing a wearable application. This application demonstrates the compatibility of LCE fabrics with industrial sewing machinery; an industrial sewing machine and serger were used to construct the fully fashioned jacket shown in Fig. 22. Pattern matching, or aligning specific visual components of the fabric, was a critical consideration for ensuring uniform actuation across all seams. In line with the observations reported in Figs. 11 and 21, shape-changing behaviors such as puffing and shrinking could be controlled across the garment through electrical implementation. By integrating the design and fabrication lessons learned from this study, we were able to demonstrate how electrically controlled (heated), woven LCE textiles may be used in active tailoring, thus laying the groundwork for application development in fields ranging from site-specific therapeutic heating to shape-changing garments.
Discussion and future work
Our present study expands on the prior design space for single-layered LCE fabrics by investigating the properties of new woven LCE textile geometries, demonstrating how predictable, subtle shifts in fabric structure impact an actuated textile’s geometric transformations and block force generation. Single-layered fabrics can exhibit in-plane shrinkage and rotation when actuated, while multi-layered fabrics can curl and expand when actuated. These types of transformational behaviors can be used singly or further combined for the generation of more complex forms and devices that exhibit modularity and matrix-enabled actuation, having relevance for applications in therapeutics, deployable structures, thermoregulation, and soft robotics. Responding to the need for tools that support the development of actuating textiles programmed at the material level, this work further contributes to the vision of intelligent, stimuli-responsive fabrics by describing how deformation forces vary across a wide range of woven structures.
Variables that could be considered in future work include different loom types, fiber types, fiber coatings, warp selections, weft deliveries, and fabric finishings. On the fiber level, variations in parameters related to fiber twist (twists per inch) and extrusion methods (nozzle shape, speed, and material cross-section) could be employed to tune the behavior of the resulting fabric20,36. Recent advances in LCE chemistry also point toward the possibility of synthesizing these fibers with more sustainable chemistries that can biodegrade, which aligns with current trends and concerns in the textile industry4. These improvements may also support the development of fibers that are compatible with the tension requirements of specific textile industrial machinery, such as a jacquard loom, which would directly impact the translational nature of this research, enabling the scaling of technology from the lab to industry. A broader exploration of weave structure across the textile design space, including building on previous work in embroidery and knitting, could lead to a more holistic understanding of how LCE fibers can enable shape-changing behavior. In addition, the incorporation of many different environmentally responsive fibers into a single textile could be employed to create multiple actuation modes that respond to specific environmental stimuli. The aforementioned avenues for future development are fundamentally tied to the long history of fabric construction, highlighting how the ubiquity of textiles provides a one-of-a-kind opportunity to develop novel technologies that feel familiar.
Materials and methods
Illustrations
All of the 2D schematics shown in the figures were created using Adobe Illustrator (Adobe Systems), and all of the 3D renderings were created using Rhinoceros 8 (Robert McNeel & Associates).
Fiber chemistry
Following the formulations introduced by Forman et al.43, the following raw materials were used for the creation of heat-responsive LCE fibers: RM82 (1,4-Bis-[4-(6-acryloyloxyhexyloxy)benzoyloxy]-2-methylbenzene), RM257(Bis-[4-(3-acryloyloxypropyloxy)benzoyloxy]-2-methylbenzene), EDDET(2,2-(ethylenedioxy)diethanethiol); GDMP(glycol di(3-mercaptopropionate)); ATATATO(1,3,5-triallyl-1,3,5-triazine-2,4,6(1 H,3 H,5 H)-trione), DPA (Dipropylamine), I-651 (2,2-dimethoxy-2-phenylacetophenone), and BHT (Butylated hydroxytoluene). EDDET, TATATO, BHT, I-651, and DPA were purchased from Sigma Aldrich. GDMP was purchased from Fisher Scientific. RM82 and RM257 were purchased in small quantities from Sigma Aldrich and in bulk from Daken Chemical33.
Fiber production
The same method from Forman et al.43 was used for fiber produciton. 15 g of RM82 and 0.105 g of BHT were added to a glass vial and placed in a toaster oven until melted43. 4.5 mL of EDDET and 800 µL of TATATO were added to the vial and mixed. The vial was returned to the oven and heated until the mixture was completely clear. 0.42 g of I-651 and 100 µL of DPA were then added to the vial and vigorously mixed. The resulting solution was then centrifuged at 3,000 RPM for 3 min to remove any air bubbles43. The machine used to create the fibers is shown in Fig. 5A. This machine contained a temperature-controlled syringe pump for extruding high-viscosity fluids, a drawing spool to align and thin the fibers, and UV light channels to crosslink and cure the fiber. Fibers were dip-coated in mineral oil and then coated in talc powder. A UV-blocking enclosure was used to ensure safety.
Loom details
A 24-inch 16-shaft Ashford table loom was used for the fabrication of samples described in this work. A handloom was chosen because it allows for a high level of control over fabric properties, flexibility in fabric design compared to industrial counterparts, and experimental opportunities for exploring active fibers and weaving techniques. Handlooms are particularly suitable for small-scale production and allow for close monitoring of quality control throughout the weaving process.
A 12-dent stainless steel reed was used for all samples. For single and double-layered designs, only 8 shafts were employed. The design process of this work involved exploratory experimentation of LCE integration into advanced weave structures and was informed by the authors’ formal education and professional experience in textile engineering, material science, and robotics.
A 16-harness electronic Louet dobby loom was utilized to create the large-scale samples and garment shown in Figs. 20 and 21, and 22. An electronic dobby loom is a type of loom that utilizes a dobby mechanism to create complex patterns through the automated control of individual warp threads; the term dobby is derived from “draw boy,” a weaver’s assistant who would manually lift the warp threads. An electronic dobby uses computerized technology to control the weaving process, and warp threads are controlled by a digital interface instead of manual operation. This design allows for greater precision when weaving and enables the ability to store woven patterns in specialized software. A dobby loom also allows for manual control of weft tension, which was critical for successfully weaving the LCE fibers presented in this work.
Fiber compositions
Electrically conductive fibers (stainless steel thread), thermally actuating fibers (LCE) and cotton threads were used to create the woven fabrics presented in this study. A stainless steel conductive thread (Dev-11791, Sparkfun) was used as an electrical component to trigger heat-responsive actuation in the warp and the weft; this fiber is flexible, has sufficient thermal resistivity, does not oxidize, and is commercially available. 10/2 cotton was used for both the warp and weft because of its thermal and electrical insulating properties. Cotton also has high thermal durability, a key feature for embedding conductive elements into woven textiles. We utilized a thermally actuating fiber, LCE, which contracts approximately 40% of its length when heated at 65 °C; this shape change reverses when cooled, and actuation can be repeated over many cycles with minimal breakdown in mechanical performance (Fig. 12).
Electrical implementation
A Xiao ESP32S3 was used to digitally control fabric actuation. For multiple channels of actuation, a PCA9685 16-Channel 8 W FET driver with an IoT interface (National Control Devices) was controlled from a single power supply.
Manufactured textile patterns
Textile structures were chosen for this work based on major categories commonly used in textile design, engineering, and prior work. Naming conventions used in textile communities, such as huck lace, Swedish lace, and double-deflected weft were employed and are defined below.
Plain weave is the most common weave structure, where each weft passes over a warp thread in an alternating sequence. This design results in a uniform textile, with a balance of strength and durability as the fabric is resistant to distortion. A spaced plain weave, or gauze weave, has the same weft structure as a regular plain weave, but the warp threads are grouped together by skipping a desired number of spaces in the reed; this design leads to a fabric with programmable permeability. This increased openness allows for enhanced drape, visual distinctness, and increased surface texture while maintaining fabric stability. A traditional leno weave twists adjacent warp yarns around a series of wefts; this is usually done with beads that are introduced when threading. A huck lace weave mimics the characteristics of a traditional leno weave with a simpler approach to construction that still results in the crisscrossing of warp yarns. Compared to a plain-woven fabric, a mock leno design has improved drape while still maintaining openness and structural stability. A Swedish lace fabric is characterized by woven floats and tie-downs that result in weft patterning. Woven floats are strategically placed to create various patterns, where the back of the fabric is the inverse of the front. Waffle weave structures include warp and weft floats and tie-downs, resulting in a textured surface that resembles a honeycomb. These recessed areas of the structure create a unique surface texture and topology that is breathable, insulating, structurally stable, and lightweight.
Multi-layered fabrics have increased thickness, strength, durability, and insulation; their unique properties are suitable for the creation of barriers with different material attributes. A puffer fabric is created through gaps or infrequent tie-downs, while a stiff fabric is created through two connected patterns that do not pull apart due to frequent tie-downs (this structure has been used most frequently in the e-textile literature). Other double-layered fabrics include double cloths, which provide more interconnection between the two fabric layers. A double-deflected weave has two layers that frequently interchange, while a double-woven fabric with floats is characterized by two separate fabric layers with float patterns that are not tied down or connected. Multi-layered fabrics have increased thickness, strength, durability, and insulation; their unique properties are suitable for the creation of barriers with different material attributes.
Textile characterization
Mechanical testing
A CellScale Univert S mechanical testing device with a 1 N load cell was used for the contractile force measurement tests.
Optical imaging
An EOS Canon R50 was used for photography of the different textile samples.
Scanning electron microscopy (SEM)
All textile samples were imaged (uncoated) in low vacuum (15 Pa) with an acceleration voltage of 20 keV using a Tescan Vega GMU variable pressure scanning electron microscope. Elemental mapping was performed using a Bruker dual-detector energy dispersive spectrometer system to minimize shadowing artifacts.
X-ray imaging
X-Ray transmission images of the fabric samples were acquired from a PXi (Pacific X-Ray Imaging) GenX-130 flatbed imager.
Data availability
The datasets generated in this study are included in this published article (in its accompanying supplementary information document), and any additional details are available from the corresponding author upon request.
References
Sanchez, V., Walsh, C. J. & Wood, R. J. Textile technology for soft robotic and autonomous garments. Adv. Funct. Mater. 31, 2008278 (2021).
Singal, K. et al. Programming mechanics in knitted materials, stitch by stitch. Nat. Commun. 15, 2622 (2024).
Wicaksono, I. Textile Macroelectronics: Architecting Sensate and Computational Fabrics across Scales (Massachusetts Institute of Technology, 2024).
Pouta, E. & Mikkonen, J. V. Woven eTextiles in HCI—a literature review. In Designing Interactive Systems Conference 1099–1118 https://doi.org/10.1145/3532106.3533566 (ACM, Virtual Event Australia, 2022).
Devendorf, L. & Di Lauro, C. Adapting double weaving and yarn plying techniques for smart textiles applications. In Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction 77–85 https://doi.org/10.1145/3294109.3295625 (ACM, 2019).
Devendorf, L., Arquilla, K., Wirtanen, S., Anderson, A. & Frost, S. Craftspeople as technical collaborators: lessons learned through an experimental weaving residency. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 1–13 https://doi.org/10.1145/3313831.3376820 (ACM,2020).
Honnet, C. et al. Democratizing intelligent soft wearables. In The 37th Annual ACM Symposium on User Interface Software and Technology 1–3 https://doi.org/10.1145/3672539.3686707 (ACM, 2024).
Walters, K., Devendorf, L. & Landahl, K. Animated linen: using high-twist hygromorphic yarn to produce interactive woven textiles. In Proceedings of the 2024 ACM Designing Interactive Systems Conference 1177–1191 https://doi.org/10.1145/3643834.3662146 (Association for Computing Machinery, 2024).
Jia, T. et al. Moisture sensitive smart yarns and textiles from self-balanced silk fiber muscles. Adv. Funct. Mater. 29, 1808241 (2019).
Khan, A. Q. et al. Spider silk supercontraction-inspired cotton-hydrogel self-adapting textiles. Adv. Fiber Mater. 4, 1572–1583 (2022).
Li, J. et al. Recent advances in flexible self-oscillating actuators. eScience 4, 100250 (2024).
Sanchez, V. et al. 3D knitting for pneumatic soft robotics. Adv. Funct. Mater. 33, 2212541 (2023).
Cacucciolo, V. Electro-active soft materials for robots and wearables. In Advanced Materials, Biomaterials, and Manufacturing Technologies for Security and Defence vol. PC12741 PC127410C (SPIE, 2023).
Zhang, Z., Wang, Y., Wang, Q. & Shang, L. Smart film actuators for biomedical applications. Small 18, 2105116 (2022).
Segura Alcaraz, M. P., Bonet-Aracil, M., Julià Sanchís, E., Alcaraz, S. & Seguí, I. M. Textiles in architectural acoustic conditioning: a review. J. Text. Inst. 113, 166–172 (2022).
Silva, P. E. S. et al. Active textile fabrics from weaving liquid crystalline elastomer filaments. Adv. Mater. 35, 2210689 (2023).
Ding, X., Sanchez, V., Bertoldi, K. & Rycroft, C. H. Unravelling the mechanics of knitted fabrics through hierarchical geometric representation. Proc. R Soc. Math. Phys. Eng. Sci. 480, 20230753 (2024).
Mahadevan, K., Yuen, M. C., Sanchez, V., Wood, R. J. & Bertoldi, K. Knitting Multistability. https://doi.org/10.48550/arXiv.2410.14810 (2024).
Scott, J. Programmable knitting: an environmentally responsive, shape-changing textile system. In Active Matter (ed. Tibbits, S.) https://doi.org/10.7551/mitpress/11236.003.0035 (The MIT Press, 2017).
Poincloux, S., Adda-Bedia, M. & Lechenault, F. Geometry and elasticity of a knitted fabric. Phys. Rev. X. 8, 021075 (2018).
Patil, M. K. R., Sing, M. K., Kolte, P. P. & Daberao, A. M. Effect of Twist on Yarn Properties. 3, (2017).
Lugger, S. J. D. et al. Melt-extruded thermoplastic liquid crystal elastomer rotating fiber actuators. Adv. Funct. Mater. N/a, 2306853.
Cacucciolo, V., Nabae, H., Suzumori, K. & Shea, H. Electrically-driven soft fluidic actuators combining stretchable pumps with thin McKibben muscles. Front. Robot AI 6, (2020).
Hofmann, M. K. O. D. A. Knit-program optimization by dependency analysis. in Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology 1–15 https://doi.org/10.1145/3654777.3676405 (ACM, 2024).
Albers, A. On weaving: new expanded edition. In On Weaving https://doi.org/10.1515/9781400889044 (Princeton University Press, 2017).
Devendorf, L., De Koninck, S. & Sandry, E. An introduction to weave structure for HCI: A how-to and reflection on modes of exchange. In Designing Interactive Systems Conference 629–642 https://doi.org/10.1145/3532106.3534567 (ACM, Virtual Event Australia, 2022).
Yang, Y., Chen, Y., Liu, Y. & Yin, R. Programmable and scalable embroidery textile resistive pressure sensors for integrated multifunctional smart wearable systems. Adv. Fiber Mater. https://doi.org/10.1007/s42765-024-00506-5 (2025).
Manti, M., Cacucciolo, V. & Cianchetti, M. Stiffening in soft robotics: A review of the state of the art. IEEE Robot Autom. Mag. 23, 93–106 (2016).
Lee, J. et al. Conductive fiber-based ultrasensitive textile pressure sensor for wearable electronics. Adv. Mater. 27, 2433–2439 (2015).
Christianson, C., Goldberg, N. N., Deheyn, D. D., Cai, S. & Tolley, M. T. Translucent soft robots driven by frameless fluid electrode dielectric elastomer actuators. Sci. Robot. 3, eaat1893 (2018).
Chen, M., Wang, Z., Li, K., Wang, X. & Wei, L. Elastic and stretchable functional fibers: A review of materials, fabrication methods, and applications. Adv. Fiber Mater. 3, 1–13 (2021).
Advancements in applications of natural wool fiber. Rev. J. Nat. Fibers 19(2), 1745128. https://www.tandfonline.com/doi/abs/10.1080/15440478 (2020).
Liu, Z. et al. Functionalized fiber-based strain sensors: pathway to next-generation wearable electronics. Nano-Micro Lett. 14, 61 (2022).
Zhao, J. et al. Fiber-based piezoresistive wearable sensor for knittable tactile sensing. In 2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (Transducers & Eurosensors XXXIII) 2436–2439 https://doi.org/10.1109/TRANSDUCERS.2019.8808735 (2019).
Liao, W. & Yang, Z. The integration of sensing and actuating based on a simple design fiber actuator towards intelligent soft robots. Adv. Mater. Technol. 7, 2101260 (2022).
Shen, Z. et al. A soft stretchable bending sensor and data glove applications. Robot Biomim. 3, 22 (2016).
Xiong, J., Chen, J. & Lee, P. S. Functional fibers and fabrics for soft robotics, wearables, and human–robot interface. Adv. Mater. 33, 2002640 (2021).
Buckner, T. L. & Kramer-Bottiglio, R. Functional fibers for robotic fabrics. Multifunct Mater. 1, 012001 (2018).
Ahn, J. et al. A review of recent advances in electrically driven polymer-based flexible actuators: smart materials, structures, and their applications. Adv. Mater. Technol. 7, 2200041 (2022).
Kilic Afsar, O. et al. OmniFiber: integrated fluidic fiber actuators for weaving movement based interactions into the ‘Fabric of Everyday Life’. In The 34th Annual ACM Symposium on User Interface Software and Technology 1010–1026 https://doi.org/10.1145/3472749.3474802 (Association for Computing Machinery, 2021).
Albaugh, L., Hudson, S. & Yao, L. Digital fabrication of soft actuated objects by machine knitting. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems 1–13. https://doi.org/10.1145/3290605.3300414 (ACM, 2019).
Yu, Y. et al. Fiber-Shaped soft actuators: fabrication, actuation mechanism and application. Adv. Fiber Mater. 5, 868–895 (2023).
FibeRobo Fabricating 4D Fiber Interfaces by Continuous Drawing of Temperature Tunable Liquid Crystal Elastomers. https://dl.acm.org/doi/fullHtml/10.1145/3586183.3606732.
Annapooranan, R., Wang, Y. & Cai, S. Harnessing soft elasticity of liquid crystal elastomers to achieve low voltage driven actuation. Adv. Mater. Technol. 8, 2201969 (2023).
Annapooranan, R., Wang, Y. & Cai, S. Highly durable and tough liquid crystal elastomers. ACS Appl. Mater. Interfaces. 14, 2006–2014 (2022).
He, Q. et al. Electrically controlled liquid crystal elastomer–based soft tubular actuator with multimodal actuation. Sci. Adv. 5, eaax5746 (2019).
He, Q. et al. Electrospun liquid crystal elastomer microfiber actuator. Sci. Robot. 6, eabi9704 (2021).
Gao, Y. et al. Wearable microfluidic diaphragm pressure sensor for health and tactile touch monitoring. Adv. Mater. 29, 1701985 (2017).
Mohd Jani, J., Leary, M., Subic, A. & Gibson, M. A. A review of shape memory alloy research, applications and opportunities. Mater. Des. 1980–2015. 56, 1078–1113 (2014).
Park, S. J. & Park, C. H. Suit-type wearable robot powered by shape-memory-alloy-based fabric muscle. Sci. Rep. 9, 9157 (2019).
Sun, J., Liao, W. & Yang, Z. Additive manufacturing of liquid crystal elastomer actuators based on knitting technology. Adv. Mater. N/a, 2302706 .
Tian, X. et al. Fiber actuators based on reversible thermal responsive liquid crystal elastomer. Small. N/a, 2306952.
Kotikian, A. et al. Innervated, self-sensing liquid crystal elastomer actuators with closed loop control. Adv. Mater. 33, 2101814 (2021).
Hussain, M. et al. Liquid crystal elastomers for biological applications. Nanomaterials 11, 813 (2021).
Meiklejohn, E. et al. Woven behavior and ornamentation: simulation-assisted design and application of self-shaping woven textiles. Proc. ACM Comput. Graph Interact. Tech. 5, 1–12 (2022).
Continuous spinning aligned liquid. crystal elastomer fibers with a 3D printer setup - Soft Matter https://pubs.rsc.org/en/content/articlelanding/2021/sm/d1sm00432h (RSC Publishing).
Huang, K. et al. WovenProbe: probing possibilities for weaving fully-integrated on-skin systems deployable in the field. iIn Designing Interactive Systems Conference 2021 1143–1158 https://doi.org/10.1145/3461778.3462105 (ACM, Virtual Event USA, 2021).
Bueno, M. A., Aneja, A. & Renner, M. Influence of the shape of fiber cross section on fabric surface characteristics. J. Mater. Sci. 39, 557–564 (2004).
Roach, D. J. et al. Long liquid crystal elastomer fibers with large reversible actuation strains for smart textiles and artificial muscles. ACS Appl. Mater. Interfaces. 11, 19514–19521 (2019).
Hu, Z., Li, Y., Zhao, T. & Lv, J. Self-winding liquid crystal elastomer fiber actuators with high degree of freedom and tunable actuation. Appl. Mater. Today. 27, 101449 (2022).
Wu, D. et al. Scalable functionalized liquid crystal elastomer fiber soft actuators with multi-stimulus responses and photoelectric conversion. Mater. Horiz. 10, 2587–2598 (2023).
Atwater, M. M. The Shuttle-Craft Book of American Hand Weaving (Macmillan, 1928).
Ishii, H. & Ullmer, B. Tangible bits: towards seamless interfaces between people, bits and atoms. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems 234–241 https://doi.org/10.1145/258549.258715 (ACM, 1997).
Alexander, J. et al. Grand challenges in shape-changing interface research. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems 1–14 https://doi.org/10.1145/3173574.3173873 (ACM, 2018).
Follmer, S., Leithinger, D., Olwal, A., Hogge, A. & Ishii, H. inFORM: dynamic physical affordances and constraints through shape and object actuation. In Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology 417–426 https://doi.org/10.1145/2501988.2502032 (ACM, 2013).
Siu, A. F., Gonzalez, E. J., Yuan, S., Ginsberg, J. B. & Follmer, S. shapeShift: 2D spatial manipulation and self-actuation of tabletop shape displays for tangible and haptic interaction. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems 1–13 https://doi.org/10.1145/3173574.3173865 (ACM, 2018).
Wu, R. et al. Weavecraft: an interactive design and simulation tool for 3D weaving. ACM Trans. Graph. 39, 1–16 (2020).
Acknowledgements
The authors would like to acknowledge support from the National Foundation for the Advancement of Artists, Toppan Printing Co., Ltd., Harvard’s Graduate School of Design, Ben Freedman, Cindy Liu, Wedyan Babatain, Cedric Honnet, Ozgun Kilic Afsar, Neil Gershenfeld, Allen Sayegh, and Martin Betchhold.
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Conceptualization; SN, HI, JF; Secured Funding: SN, HI, JF; Project Supervision: HI; Provided Materials: SN, JW, HI, JF; Experimental Design: SN, JW, JF; Sample Fabrication: SN; Data Collection: SN, JW; Imaging: SN, JW, JF; Data Analysis: SN, JW; Manuscript Writing: SN, JW; Manuscript Revisions: SN, JW, HI, JF.
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Nicita, S., Weaver, J.C., Ishii, H. et al. A framework for handweaving robotic textiles with liquid crystal elastomer fibers. Sci Rep 15, 16883 (2025). https://doi.org/10.1038/s41598-025-97835-1
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DOI: https://doi.org/10.1038/s41598-025-97835-1
























