Modulus of continuity of the inverse operator

Results 101 to 110 of about 561 (185)

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source

Computational Strategy for Analyzing Effective Properties of Random Composites-Part II: Elasticity. [PDF]

Materials (Basel)
Czapla R +4 more
europepmc +1 more source

Evaluating Three Foundation Potentials for Predicting Selected Properties of the Co–Ni–Ru Alloy System

Advanced Intelligent Discovery, EarlyView.
Distributions of intrinsic stacking fault energies (ISFE) among different slip planes in the face‐centered cubic Co2Ni2Ru alloy, predicted by three foundation potentials (DPA, Orb, and SevenNet) and density functional theory (DFT) calculations. This study evaluates the efficacy of three foundation potentials (FPs)—SevenNet, DPA, and Orb—in predicting ...
Subah Mubassira +8 more
wiley +1 more source

Instability of a fluctuating biomimetic membrane driven by an applied uniform dc electric field. [PDF]

Phys Rev E
Yu Z, Zhao S, Miksis MJ, Vlahovska PM.
europepmc +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source

Gradient regularity for widely degenerate elliptic partial differential equations. [PDF]

SN Partial Differ Equ Appl
Strunk M.
europepmc +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source

Data-adaptive pattern-coupled Bayesian compressive sensing for sparse sound field reconstruction. [PDF]

Sci Rep
Xiao Y, Liu Y, Chen Z, Zhang H, Ni P.
europepmc +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source

Design Guidelines for Anode Modifications to Eliminate Soft Short Circuits in Anode‐Free Na Batteries Under High Current Density With Large‐Capacity Plating, Demonstrated via Initiated Chemical Vapor Deposition (iCVD)

Angewandte Chemie, EarlyView.
This work establishes a laterally homogeneous organic–inorganic hybrid interphase for soft‐short‐free anode‐free sodium metal batteries under extended cycling at high current density and high plating capacity. In contrast to conventional strategies that evolve into laterally heterogeneous interphases and induce localized Na filament growth, the pDFHA ...
Yeongjun Oh +7 more
wiley +2 more sources