Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation 论文

2019The Journal of Physical Chemistry Letters引用 291
Machine Learning in Materials ScienceTopic ModelingX-ray Diffraction in Crystallography

Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation · 相关技术