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
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
A General Tensorial Formulation of Acoustoelasticity and Its Representation in Cylindrical Coordinates. [PDF]
Ma Y, Xu C, Yang S, Chen C.
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Semi-Analytical Large-Strain Bending of Thermoviscoplastic SMP Beams with Plastic Softening. [PDF]
Khashabi H +3 more
europepmc +1 more source
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao +5 more
wiley +1 more source
Predictive Modeling of Vibration Behavior for Ceramic Matrix Composite Thin Plates with Protective Coating in High-Temperature Environments. [PDF]
Yang Y +6 more
europepmc +1 more source
Adiabatic shearing and performances of milling 304 stainless steel based on cooling strategies of flood, LN<sub>2</sub> and LN<sub>2</sub>+LCO<sub>2</sub>. [PDF]
Mao Y, Cui Y.
europepmc +1 more source
Rheological Behavior and Processing of High-Performance Engineering Polymers. [PDF]
Rahman MH +5 more
europepmc +1 more source
Simulation-Based Microfluidic Deformation Mapping for Region-Dependent Apparent Young's Modulus Estimation of Single Cells. [PDF]
Liang M +6 more
europepmc +1 more source

