Results 191 to 200 of about 3,392 (297)

Strain‐Modulated Reconfigurable Optical Information Processing in Flexible Graphene/PDMS

open access: yesAdvanced Science, EarlyView.
Graphene/PDMS—a stable, mechanically robust, and highly tunable flexible composite, exhibits excellent strain‐tunability. The spatial self‐phase modulation (SSPM) effect can be reversibly and continuously modulated by strain. A strain‐gated optical switch can be constructed, thereby realizing reconfigurable optical logic gates and reversible switching ...
Zexin Cui   +13 more
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

open access: yesAdvanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou   +3 more
wiley   +1 more source

Colossal Photovoltaic Current in Ferroelectric Oxide by Constructing Defect Band

open access: yesAdvanced Science, EarlyView.
Colossal photovoltaic current density of 34.36 mA/cm2 under 375 nm illumination has been achieved in the Pb‐deficient PbTiO3 film. The ultraviolet photoresponsivity surpasses that of all reported ferroelectric materials. This enhancement is attributed to the junction effect between the Pb‐deficient and non‐defective layers.
Yiran Sun   +16 more
wiley   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

open access: yesAdvanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi   +4 more
wiley   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

open access: yesAdvanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao   +9 more
wiley   +1 more source

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