Results 161 to 170 of about 18,137 (262)

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

Real-Time Probing of Molecular Affinity Using Optical Tweezers. [PDF]

Sensors (Basel)
Teixeira J, Ribeiro JA, Monteiro M, Silva NA, Jorge PAS.   +4 more
europepmc   +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

Shallow creep and confined ruptures in frictionally unstable mica schist. [PDF]

Sci Adv
Güvercin SE, Barbot S, Zhang L, Köküm M, Yang Z, Zabcı C.   +5 more
europepmc   +1 more source

Lightweight, Elastic Ceramic Fabrics for Broadband Electromagnetic Absorption and High Temperature Thermal Insulation

Advanced Science, EarlyView.
This study reports lightweight, elastic ceramic fabrics with broadband electromagnetic absorption (EAB = 9.8 GHz) and high‐temperature thermal insulation, enabled by precise microstructural control during ultrafast high‐temperature sintering (UHS), which induces the precipitation of defect‐rich t‐ZrO2 nanograins and turbostratic C nanoclusters.
Jiahao Yang, Qi Ding, Juanjuan Xu, Fei Yan, Rui Wang, Yuena Zhang, Chao Zhao, Zhi Cheng, Yuchi Fan, Wan Jiang   +9 more
wiley   +1 more source

Mechanosensory encoding of surface mechanics optimizes locomotion. [PDF]

Nat Commun
Pidde A, Porta-de-la-Riva M, Agazzi C, Martínez-Fernández C, Lorrach A, Bijalwan A, Sanfeliu-Cerdán N, Calatayud-Sanchez A, Torralba-Sales E, Das R, Muñoz JJ, Krieg M.   +11 more
europepmc   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Kinetic interacting particle Langevin Monte Carlo. [PDF]

Stat Comput
Valsecchi Oliva P, Akyildiz OD.
europepmc   +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

Experimental investigation and reliability-based optimization of the nut factor in bolted joints considering friction coefficient, surface roughness and material hardness. [PDF]

PLoS One
Tran VT, Nguyen HL.
europepmc   +1 more source