Results 231 to 240 of about 13,943,169 (315)

Tuning Anisotropic Optical Properties of Inorganic and Hybrid Organic-Inorganic MXenes via Topochemical Surface Modification. [PDF]

open access: yesNano Lett
Kim YH   +14 more
europepmc   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

open access: yesAdvanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning   +3 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

A Portable Soft Robotic Glove with Fully Functional Thumb Assistance for Complex Dexterous Fine Motor Skills

open access: yesAdvanced Science, EarlyView.
A portable, sensorized, and controlled dexterous thumb‐enhanced glove helps stroke survivors swipe phones, twist caps, and perform other tasks. It is based on a powerful continuously, segmented origami dual chamber actuator to achieve active thumb CMC and MCP joint assistance and passively extend the IP joint.
Disheng Xie   +10 more
wiley   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

Hamaker Constants of van der Waals Materials under Clean‐Interface Conditions

open access: yesAdvanced Science, EarlyView.
Clean‐interface adhesion in representative van der Waals materials is quantified by Ultra High Vacuum (UHV) Atomic Force Microscopy (AFM) with in situ cleaning and calibrated probes. Benchmark Hamaker constants for graphene, MoS2, and SiO2 are established, while humidity is shown to reversibly amplify adhesion, explaining much of the scatter in ...
Daniel Gallego‐Fuente   +3 more
wiley   +1 more source

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