Wolverton, Chris

Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)

Saal, J. E., Kirklin, S., Aykol, M., Meredig, B., & Wolverton, C. (2013) · JOM

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 2,584

Recent advances and applications of deep learning methods in materials science

Choudhary, K., DeCost, B., Chen, C., Jain, A., Tavazza, F., Cohn, R., Park, C. W., Choudhary, A., Agrawal, A., Billinge, S. J. L., et al. (2022) · npj Computational Materials

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 1,172

Network analysis of synthesizable materials discovery

Aykol, M., Hegde, V. I., Hung, L., Suram, S., Herring, P., Wolverton, C., & Hummelshøj, J. S. (2019) · Nature Communications

Machine Learning in Materials ScienceComputational Drug Discovery Methods

Cited by 120

Morphological Engineering of Winged Au@MoS2 Heterostructures for Electrocatalytic Hydrogen Evolution

Li, Y., Majewski, M. B., Islam, S. M., Hao, S., Murthy, A. A., DiStefano, J. G., Hanson, E. D., Xu, Y., Wolverton, C., Kanatzidis, M. G., et al. (2018) · Nano Letters

Electrocatalysts for Energy Conversion2D Materials and Applications

Cited by 115

Computational Discovery of Li-M-O Ion Exchange Materials for Lithium Extraction from Brines

Snydacker, D. H., Hegde, V. I., Aykol, M., & Wolverton, C. (2018) · Chemistry of Materials

Extraction and Separation ProcessesAdvancements in Battery Materials

Cited by 39