most citedData Fusion of Deep Learned Molecular Embeddings for Property Prediction

3 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

1 paper · 1 filter

cond-mat.mtrl-sci2025

Harnessing Machine Learning for Quantum-Accurate Predictions of Non-Equilibrium Behavior in 2D Materials

Yue Zhang, Robert J. Appleton, Kui Lin +5

Accurately predicting the non-equilibrium mechanical properties of two-dimensional (2D) materials is essential for understanding their deformation, thermo-mechanical properties, an…