Nature

Bridging deep learning force fields and electronic structures with a physics-informed approach

This work presents a physics-informed neural network approach bridging deep-learning force field and electronic structure simulations, illustrated through twisted two-dimensional large-scale material ...
Nature

Machine learning assisted prediction of organic salt structure properties

We demonstrate a machine learning-based approach which predicts the properties of crystal structures following relaxation based on the unrelaxed structure. Use of crystal graph singular values reduces ...
Drexel University

Structure and Transparency

Structure and Transparency High-Structure and Active Learning High-structure courses provide students with regular required practice opportunities, typically in the form of weekly before-class, ...
The Conversation

A new type of material called a mechanical neural network can learn and change its physical properties to create adaptable, strong structures

A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my ...