Browse Articles

Photonic topological insulators guide light robustly, but not at multiple colors needed for applications like frequency doubling. The authors theoretically demonstrate a broadband nonlinear resonator array that overcomes this, hosting topological edge states for two colors to achieve efficient nonlinear light conversion and programmable chirality.

Twisted bilayer (tb) MoTe₂ is an ideal platform for investigating the fractional quantum anomalous Hall effect but issues related to air sensitivity make the study of its electronic structure experimentally challenging. As a solution, the authors prepare hBN encapsulated tb-MoTe₂ and using micro-angle resolved photoemission spectroscopy determine the band structure. Furthermore, through in-situ alkali metal deposition, they obtain evidence indicating a direct band gap.

Underwater optical ranging systems face distance limitations due to power loss caused by scattering in turbid water. The authors demonstrate an attenuation-resilient approach using a petal-like structured beam with a tailorable longitudinal intensity profile, which provides a distance-dependent center power gain to ensure accurate ranging in challenging underwater environments.

Probing, understanding, and manipulating nontrivial excitonic transport in atomically thin transition metal dichalcogenides (TMDCs) is a long-standing challenge. Here, the authors report the observation of ultrafast spatial hole burning of excitonic emission in monolayer WS₂ and reveal the underlying mechanism, showcasing the peculiar excitonic transportation in monolayer TMDCs.

Flat bands provide ideal platforms for exploring strongly correlated electronic phenomena, but precise control of their energy levels remains challenging. This work demonstrates atomic-scale electrostatic engineering of flat bands in a K₃P Lieb lattice, enabled by manipulating charged defects.

Guest adsorption in soft porous crystals induces host deformation and alters rigidity, yet the role of elastic heterogeneity in adsorption kinetics is not well understood. Using coarse-grained lattice model and dynamic Monte Carlo simulations, this study demonstrates that elastic heterogeneity governs adsorption kinetics, leading to anomalous dynamic scaling, offering a mechanistic foundation for engineering responsive materials with mechanically regulated cooperative molecular transport.

Due to the strong exchange interactions between the rare-earth and iron sublattices, rare-earth orthoferrites, such as YbFeO₃, offer a rich platform for exploring spin dynamics and spin transport phenomena. Here, the authors report multi-step type-II spin switching in Mn-doped YbFeO₃ and investigate the underlying mechanism using an extended Weiss model.

Survival in dynamic and complex environments requires groups to exhibit a high level of responsiveness to rapidly changing circumstances. Using empirical data from Hemigrammus rhodostomus fish schools and experiments with swarm robotics, the study demonstrates that perfectly nested interaction networks enhance information flow and shape highly responsive collective behavior in both collective hovering and following tasks.

Manipulating thermal transport in nanoscale systems is challenging, particularly in disordered media. Here, the authors show that disorder can cause a significant suppression of radiative heat transfer in nanoparticle chains, a phenomenon identified as a direct signature of Anderson localization.

Arterial walls are vital for vascular function and disease, but their complex mechanics are not fully understood. Using broadband optical coherence elastography, the authors find that tissue viscoelasticity decreases with stretch, and collagen fibers are key for the adventitia’s nonlinear stiffening and overall nonlinear viscoelasticity.

Modern neutrino experiments require precise tuning of energy response parameters, a task complicated by the parameters’ nonlinear behavior and strong correlations. The authors present neural density estimators using normalizing flows and transformers integrating them with Bayesian nested sampling to achieve near-zero systematic biases and uncertainties limited only by statistics, offering a flexible framework for particle physics applications

The search for a room temperature superconductor is as old as the discovery of superconductors themselves and recent results for the superconducting hydrides has brough the community a step closer to this goal. Here, using a computational approach the authors investigate thermodynamically stable superconducting phases in the ternary Ba-Re-H system under high pressure, identifying several potential candidates.

Higher-order topological insulators have become a focus of research, but developing a universal way to characterize their unique higher-order topological properties remains a key challenge. The authors propose an entanglement topological invariant based on entanglement entropy, which not only reliably identifies second-order topological phases but also quantifies the number of topologically protected corner states.

A key feature of Majorana zero modes (MZMs) is their non-Abelian fusion rule, characterized by multiple outcomes. Here, the authors introduce a minimal setup where coupling a tunable fermionic mode to a single MZM allows the control of fusion loops, yielding distinct charge pumping that serves as a direct experimental signature.

Subharmonic entrainment (SHE) is a nonlinear synchronization phenomenon where an oscillation locks to an external periodic driving with a fraction of the oscillator frequency. This work introduces Vector Subharmonic Entrainment, demonstrating how the polarization of weak external signals can entrain internal fiber laser dynamics, offering control over mode-locking and polarization states.

Spin-polarized current-driven nanoscale magnetic oscillators can exhibit synchronization between oscillation layers, leading to an enhanced performance. Here, the authors demonstrate a viable way to detect the coupled oscillation state unambiguously in real devices by measuring magneto-resistance under external microwave injection, which would be useful for increasing data storage density using spintronic technologies.

TaS₂ can be synthesised in the 4Hb stacking, a natural heterostructure of “H" and “T"-type layers, which exhibits several unusual phenomena in its low temperature superconducting phase. Here, its layer-dependent electronic properties are explored, revealing the T layers are effectively insulating in the bulk, though not at the surface.

Network density significantly influences coefficient estimates in functional connectomes, posing challenges for consistent analysis. Here, the authors analyze multimodal neuroimaging data and synthetic networks, revealing that statistical approaches affect metric estimates, especially at varying densities, and caution against over-reliance on thresholding, impacting graph-based studies across neuroscience and related fields.

Macroscopic levitated objects with low dissipation provide a useful testbed for studying nonlinear dynamics and energy exchange. The authors study a diamagnetically levitated millimeter-scale dielectric cube and measure ultra-low dissipation motion with nonlinear dynamics over long timescales.

Understanding snow density is vital for climate science and hazard prediction. The authors present an optical approach that yields insight into light-snow interactions and can be used to convert reflectance images of snow into density information, offering rapid, high-resolution profiles for field measurements.