Results 161 to 170 of about 321,760 (289)

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

open access: yesAdvanced 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

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced 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

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

Mirror versus Inversion Symmetry Breaking in Mesogenic Dimers: NTB versus NF Phase

open access: yesAngewandte Chemie, EarlyView.
Two non‐conventional nematic phases, twist‐bend NTB and ferroelectric NF, are observed within the same homologous series of dimers built of two strongly dipolar mesogenic units linked by a flexible spacer. The type of the phase formed depends on the molecular geometry, defined by parity of internal linkage.
Małgorzata Bakiera   +6 more
wiley   +2 more sources

Chalcogen‐Bond‐Driven Electrochemical Bromide Sequestration in Benzothiazole‐Functionalized Covalent Organic Frameworks

open access: yesAngewandte Chemie, EarlyView.
To address the unresolved challenge of selective bromide removal from reverse‐osmosis permeate, we developed benzothiazole‐functionalized COF/rGO electrodes that exploit directional chalcogen bonding to preferentially capture Br− over Cl−. The mesoporous BTzTp@rGO electrode achieved a maximum Br− uptake of 36.7 mg g−1, a Br−/Cl− selectivity factor of ...
Najat Maher Aldaqqa   +7 more
wiley   +2 more sources

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