More papers on AI/ML for materials

Here is a list of some more papers; these papers are meant for reading and exploring; if you are looking for mini-projects, go to this post.

(1) Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys
G.H. Teichert, A.R. Natarajan, A. Van der Ven, K. Garikipati
Comput. Methods Appl. Mech. Engrg. 371 (2020) 113281

(2) Machine learning for materials design and discovery
Rama Vasudevan, Ghanshyam Pilania, Prasanna V. Balachandran
J. Appl. Phys. 129, 070401 (2021)

(3) Practicing deep learning in materials science: An evaluation for predicting the formation energies
Liyuan Huang and Chen Ling
J. Appl. Phys. 128, 124901 (2020)

(4) Machine-learning interatomic potentials for materials science
Y. Mishin
arXiv.org

Have fun!!