2 papers
cond-mat.mtrl-sci2026
Material-Property-Field-based Deep Neural Network in Hopfield Framework
Yanxiao Hu, Ye Sheng, Caichao Ye +6
Current deep neural networks (DNNs) used in materials modeling often lack explicit physical structure and clear analytical formulations tailored to material systems, which can limi…
cond-mat.mtrl-sci2025
Global Universal Scaling and Ultra-Small Parameterization in Machine Learning Interatomic Potentials with Super-Linearity
Yanxiao Hu, Ye Sheng, Jing Huang +7
Using machine learning (ML) to construct interatomic interactions and thus potential energy surface (PES) has become a common strategy for materials design and simulations. However…