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Journal Articles
- 2018
[j1]Al'ona Furmanchuk
, James E. Saal, Jeff W. Doak, Gregory B. Olson, Alok N. Choudhary, Ankit Agrawal:
Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach. J. Comput. Chem. 39(4): 191-202 (2018)
Informal and Other Publications
- 2024
- [i3]Sarah I. Allec, Xiaonan Lu, Daniel R. Cassar, Xuan T. Nguyen, Vinay I. Hegde, Thiruvillamalai Mahadevan, Miroslava Peterson, Jincheng Du, Brian J. Riley, John D. Vienna, James E. Saal:
Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming ability. CoRR abs/2403.10682 (2024) - 2022
- [i2]Eric S. Muckley, James E. Saal, Bryce Meredig, Christopher S. Roper, John H. Martin:
Interpretable models for extrapolation in scientific machine learning. CoRR abs/2212.10283 (2022) - 2020
- [i1]Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James E. Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan:
ACED: Accelerated Computational Electrochemical systems Discovery. CoRR abs/2011.04426 (2020)
Coauthor Index
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