Electric field-induced Kerr rotation on metallic surfaces. [PDF]
Mahfouzi F, Stiles MD, Haney PM.
europepmc +1 more source
Journey to Time-Variable Moment Tensors through Inversion of Acoustic and Seismoacoustic Data
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States) +4 more
openalex +2 more sources
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Source analysis of low frequency seismicity at Mt. Vesuvius by a hybrid moment tensor inversion
Roberto Manzo +5 more
openalex +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Ferromagnetic Semiconductor In<sub>0.75</sub>Fe<sub>0.25</sub>Sb for All-Optical Control of Light Polarization. [PDF]
Ribeiro MF +3 more
europepmc +1 more source
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
Adjoint Moment Tensor Inversion for Non-Double-Couple Earthquake
Azhar Harisandi +2 more
openalex +2 more sources
Biomimetic 3D Tactile Sensor System With Neuromorphic Encoding for Fascicle‐Level Feedback
A 3D biomimetic tactile sensor system converts skin‐like mechanical interactions into neural stimulation‐ready spike patterns. Embedded slow‐ and fast‐adapting sensors distinguish sustained pressure from transient touch, while neuromorphic encoding preserves their temporal signatures.
Minseok Kim +4 more
wiley +1 more source
Chemical Engineering of Altermagnetism in Two-Dimensional Metal-Organic Frameworks. [PDF]
López-Alcalá D +3 more
europepmc +1 more source

