James E. Saal

According to our database, James E. Saal authored at least 4 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming ability.

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

CoRR, 2024

2022

Interpretable models for extrapolation in scientific machine learning.

Eric S. Muckley, James E. Saal, Bryce Meredig, Christopher S. Roper, John H. Martin

CoRR, 2022

2020

ACED: Accelerated Computational Electrochemical systems Discovery.

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

CoRR, 2020

2018

Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach.

Al'ona Furmanchuk, James E. Saal, Jeff W. Doak, Gregory B. Olson, Alok N. Choudhary, Ankit Agrawal

J. Comput. Chem., 2018