Results 161 to 170 of about 215,504 (278)
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
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
This work reports a combined frequency‐domain and time‐domain terahertz (THz) spectroscopic approach to elucidate intrinsic carrier properties and transport mechanisms in framework materials over the extended 0.5–20 THz region. Subtle structural and chemical variations are shown to strongly influence THz charge‐transport behavior across the far ...
Satyapriya Nath +13 more
wiley +2 more sources
Harnessing Machine Learning to Understand and Design Disordered Solids
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
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
Chiral resolution of spin angular momentum in linearly polarized and unpolarized light. [PDF]
Hernández RJ +4 more
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Phase Space Electronic Structure Theory: From Diatomic Lambda-Doubling to Macroscopic Einstein-de Haas. [PDF]
Peng L +7 more
europepmc +1 more source
Valley-Dependent Emission Patterns Enabled by Plasmonic Nanoantennas. [PDF]
Bucher T +14 more
europepmc +1 more source
ABSTRACT This paper presents a comprehensive numerical analysis of magnetohydrodynamic (MHD) Casson nanofluid movement over a permeable, linearly stretching sheet, integrating the contributions of non‐uniform heat generation or absorption and chemical interaction.
Manoj Kumar Sahoo +3 more
wiley +1 more source
White Vortex Light Generations With 7OCB Spherulite. [PDF]
Liu Y +5 more
europepmc +1 more source

