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This collection highlights the most downloaded* papers published by Communications Engineering in 2024. Research features authors from numerous countries around the world, and from both academic and industrial research settings. Fields with a strong presence in our 2024 Collection include clean energy research, artificial intelligence, telecommunications, robotics, and mechanical engineering.
*Data obtained from SN Insights, which is based on Digital Science’s Dimensions.
Chomiak and Hu introduce a versatile time-series data prediction algorithm using recurring local topological patterning. This algorithm reduces computational complexity and cost, and its feasibility is demonstrated across various dynamic systems including macroeconomic, wearable sensor, and dynamic population systems.
Chengcheng Zhao and co-authors study the potential of battery electric buses and hydrogen polymer electrolyte membrane fuel cell buses. They analyse their usage in urban transport and quantify the environmental impact.
This review explores adaptive neuron models from computational neuroscience, emphasizing their significance in the future development of power efficient artificial intelligence applications and hardware integration.
Hichem Guerboukha and colleagues present a reliable high-data-rate THz communications system when the line of sight between the transmitter and receiver is blocked. They design the near-field wavefront to generate a curved trajectory.
Bryan Holt, Kyle Oswalt and colleagues design the mosquito bite-proof knitting pattern. Their approach can be implemented in programmable knitting robots for mass production.
Battery production cost models are critical for evaluating cost competitiveness but frequently lack transparency and standardization. A bottom-up approach for calculating the full cost, marginal cost, and levelized cost of various battery production methods is proposed, enriched by a browser-based modular user tool.
Mohammad Omid Bagheri and colleagues introduce a metasurface-enhanced millimetre-wave radar system designed for near-field biosensing. Their device adapts to the properties of the skin-device interface, providing heightened diagnostic precision in wearable healthcare monitoring applications.
Millimeter-wave imaging using handheld devices suffers from significant degradation due to motion errors. Yan Chen and colleagues report an approach to correct the phase errors by introducing a reference target. The approach could recover high-fidelity 3D mmWave images from severely distorted signals.
Julius Metzdorf and colleagues present a heatpipe system that combines solid-state electrocaloric material with condensation and evaporation of ethanol fluid. The results demonstrate an enhanced cooling power density, which is one order of magnitude higher than that of traditional ceramic electrocaloric systems.
Tomoki Inoue and colleagues report a time-series data clustering algorithm using a quantum-inspired digital annealer technology to improve the clustering performance. The algorithm was implemented to cluster time-series data derived from benchmark problems and flow measurement images.
Vovchuk et al. utilized generic algorithms to demonstrate a multi-wire superdirective antenna. The small device not only surpasses common directivity bounds but also demonstrates a superbandwidth, thus making it useful for wireless communications.
Moreira et al. developed an iron oxide/graphenic carbon hybrid photocatalyst for the decomposition of PFAS contaminants, under UV light. Their method offers a cheap and efficient alternative that achieves > 85% efficiency for PFOA decomposition under UV light.
Medium-range wireless power transfer using magnetically coupled resonators requires a wireless data link between the contactless coils to regulate power. Here, Xiangning He and colleagues report a wireless power transfer system which efficiently multiplexes the information modulation and signal channel with the power conversion and transfer channel.
Chung, Quirk and colleagues present a lightweight active back exosuit to assist workers when lifting. Testing in a simulated one-hour order picking task demonstrates the device has practical usability and reduces back muscle effort by 18%.
Max Naylor Marlow and coworkers investigate the effects of thermal gradients on lifetime degradation of parallel-string battery systems. They experimentally demonstrate previously overlooked cathode impedance growth is a key contributor to the heterogeneities on pack degradation, providing insights for battery developers.
Weiwei He and colleagues implement a multi-level physicsinformed neural network to solve partial differential equations, a key problem for efficient structure analysis. Their results improve the accuracy and computation time for solving these problems.
Sheng Huang, Xiaohui Huang and colleagues propose a methodology for the optimal power dispatch from the wind farms. Their method relies on local data only and allows iterative convergence.
Yushen Zhang and colleagues report an open source, interactive software platform for the efficient and convenient design of 3D printable microfluidic devices. The approach incorporates a design-for-manufacturing function, facilitating device fabrication using commercial consumer-grade printers.
In a Review Article, Jonathan Sauder and colleagues develop a framework to categorize the variety of deployable structures and mechanisms available for operation on small satellites.
Large-scale deployment of direct air carbon capture and storage (DACS) is required to offset CO2 emissions. Here, Moritz Gutsch and Jens Leker present a cost model and life cycle assessment for several combinations of off-grid DACSs, powered by photovoltaic energy and heat pumps combined with battery storage. They find a cost optimal energy system layout for implementation in Nevada USA.
Chu and colleagues explore holographic data storage as a replacement for hard disk drives, introducing an energy optimization framework for Fe concentrations in iron-doped lithium niobate. Their approach results in a record-breaking performance in both read and density.
Xiaofei Ma and colleagues provide a review of high-strain composite materials and their use in deployable space structures. The review contributes a broad overview of the field and discusses important design considerations for high-strain composite structures including manufacturing, viscoelasticity, and material selection.
Mohammad Askari and colleagues report a strategy for Unmanned Aerial Vehicles to perch on vertical poles and trees upon crash landing. An upturned nose passively reorients the robot, while dual-purpose wings secure the robot using an enveloping grasp, not unlike a hug.
Lithium-ion batteries are integral to modern technologies but the sustainability of long-term battery health is a significant and persistent challenge. In this perspective Borah and colleagues discuss the integration of physics and machine learning to support developments in battery performance and safety.
Yimo Yan and colleagues combined droplet-based microfluidics and controlled photopolymerization in an approach to mass produce soft microrobots with programmable structural and magnetic anisotropy. This large-scale production enabled the formation of microrobot swarms and observations of their emergent structures and behaviours.