Results 131 to 140 of about 1,029,298 (227)

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

Advanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung, Yuna Yoo, Dharneedar Ravichandran, Dahyun Daniel Lim, Grace X. Gu   +4 more
wiley   +1 more source

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

Advanced 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, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

Chemically Gradient Ordered Nanodomains Enable Large Tensile Ductility in Gigapascal Lightweight Refractory High‐Entropy Alloys

Advanced Science, EarlyView.
A high‐strength lightweight refractory high‐entropy alloy achieves extraordinary ductility owing to the introduction of coherent chemically gradient ordered nanodomains (CGONs). The CGONs not only serve as effective barriers to dislocation motion (strengthening) but also significantly promote dislocation nucleation and multiplication (ductilizing) upon
Wei Zhang, Dingshun Yan, Yong Zhang, Zhiming Li   +3 more
wiley   +1 more source

Wafer‐Scale Atomically‐Thin Gold: Transferable Platform for Flexible Optoelectronics, Thermal Management and Bio‐Interfaces

Advanced Science, EarlyView.
Combining template stripping with a graphene‐inspired transfer yields continuous, transferable gold films at 6‐inch wafer scale with thicknesses approaching the atomic limit. The atomically smooth, near‐bulk‐quality films offer above 86% transmittance and sub‐20 Ω/square sheet resistance, serving as a universal platform for flexible optoelectronics ...
Dmitry Yakubovsky, Mikhail Mironov, Georgy Ermolaev, Aleksandr Khrebtov, Aleksandr Slavich, Prashant Narute, Pritom Chowdhury, Roman Kirtaev, Igor Khramtsov, Anton Minnekhanov, Gleb Tselikov, Dmitriy Grudinin, Maria Sidorova, Nikolay Pak, Pavel Maslov, Andrey Vyshnevyy, Hongkai Zhou, Vasyl G. Kravets, Alexander N. Grigorenko, Ivan Kruglov, Nikita Orekhov, Dmitry Kireev, Aleksey Arsenin, Kostya S. Novoselov, Valentyn Volkov   +24 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

LRG1 Drives Pathological Angiogenesis by Disrupting Neutrophil Mitochondrial Homeostasis in Bladder Cancer

Advanced Science, EarlyView.
In bladder cancer, LRG1 binds to ANXA2 to trigger mitochondrial ROS‐dependent NETosis. This pathogenic cascade actively uncouples endothelial‐mural cell interactions, driving profound vascular destabilization. Consequently, targeting the LRG1‐ANXA2 axis attenuates the neutrophil burden and induces structural vascular normalization, offering a powerful ...
Dongshan Chen, Cong Zhang, Song Xue, Yuan Zeng, Haochen Cui, Chenfei Wang, Jiayi Feng, Lei Yan, Yuanwei Zang   +8 more
wiley   +1 more source

Ion Superhighways in a Hierarchical Polymer‐Ceramic Membrane Enable Rapid and Selective Lithium Extraction

Advanced Science, EarlyView.
A flexible PDMS‐LATP polymer‐ceramic membrane creates lithium‐ion “superhighways” for rapid and selective extraction from complex brines. The amorphous PDMS matrix suppresses nonselective leakage and stabilizes the ceramic network, while LATP provides preferential Li+ conduction.
Xinxin Wei, Jiawei Sun, Min Wei Boey, Xiaolu Li, Minji Kim, Junghwan Kim, Hongjiang Chen, Patrick H.‐L. Sit, Yixiang Wang, Zhigang Li, Ze‐Xian Low, Jason Chun‐Ho Lam, Alicia Kyoungjin An   +12 more
wiley   +1 more source