James E. Saal
Citrine Informatics (United States)(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Advanced Materials Characterization Techniques, High Entropy Alloys Studies, High-Temperature Coating Behaviors, High Temperature Alloys and Creep
Most-Cited Works
- → Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)(2013)2,422 cited
- → The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies(2015)2,253 cited
- → Combinatorial screening for new materials in unconstrained composition space with machine learning(2014)730 cited
- → High-Throughput Computational Screening of Perovskites for Thermochemical Water Splitting Applications(2016)253 cited
- → Enthalpies of formation of magnesium compounds from first-principles calculations(2009)199 cited
- → Passivation of a corrosion resistant high entropy alloy in non-oxidizing sulfate solutions(2018)197 cited
- → Thermodynamic stability of Mg-based ternary long-period stacking ordered structures(2014)157 cited
- → Machine Learning in Materials Discovery: Confirmed Predictions and Their Underlying Approaches(2020)154 cited
- → Integrated computational materials engineering of corrosion resistant alloys(2018)147 cited
- → Predicting β′ precipitate morphology and evolution in Mg–RE alloys using a combination of first-principles calculations and phase-field modeling(2014)131 cited