Logan Ward
Affiliations: | 2012 | MSE | Ohio State University, Columbus, Columbus, OH |
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"Logan Ward"Parents
Sign in to add mentorWolfgang E. Windl | grad student | 2012 | Ohio State |
Christopher M. Wolverton | grad student | 2016 | Northwestern |
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Publications
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Jha D, Gupta V, Ward L, et al. (2021) Enabling deeper learning on big data for materials informatics applications. Scientific Reports. 11: 4244 |
Li Z, Chard R, Ward L, et al. (2021) DLHub: Simplifying publication, discovery, and use of machine learning models in science Journal of Parallel and Distributed Computing. 147: 64-76 |
Dandu NK, Ward L, Assary RS, et al. (2020) Quantum Chemically Informed Machine Learning: Prediction of Energies of Organic Molecules with 10 to 14 Non-Hydrogen Atoms. The Journal of Physical Chemistry. A |
Joress H, DeCost B, Sarker S, et al. (2020) A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al. Acs Combinatorial Science |
Tepavcevic S, Zheng H, Hinks DG, et al. (2020) Fundamental Insights from a Single‐Crystal Sodium Iridate Battery Advanced Energy Materials. 10: 1903128 |
Blaiszik B, Ward L, Schwarting M, et al. (2019) A data ecosystem to support machine learning in materials science Mrs Communications. 9: 1125-1133 |
Ward L, Blaiszik B, Foster I, et al. (2019) Machine learning prediction of accurate atomization energies of organic molecules from low-fidelity quantum chemical calculations Mrs Communications. 9: 891-899 |
Amsler M, Ward L, Hegde VI, et al. (2019) Ternary mixed-anion semiconductors with tunable band gaps from machine-learning and crystal structure prediction Physical Review Materials. 3 |
Hao S, Ward L, Luo Z, et al. (2019) Design Strategy for High-Performance Thermoelectric Materials: The Prediction of Electron-Doped KZrCuSe3 Chemistry of Materials. 31: 3018-3024 |
Jha D, Ward L, Paul A, et al. (2018) ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition. Scientific Reports. 8: 17593 |