Hart, Gus L. W.
Brigham Young University
3 papers on CoChatORCID 0000-0002-6149-9234
Most cited papers
- Verified
The high-throughput highway to computational materials design
Curtarolo, S., Hart, G. L. W., Nardelli, M. B., Mingo, N., Sanvito, S., & Levy, O. (2013) · Nature Materials
Machine Learning in Materials ScienceAdvanced Chemical Physics Studies
Cited by 2,053
- Verified
AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations
Curtarolo, S., Setyawan, W., Wang, S., Xue, J., Yang, K., Taylor, R. H., Nelson, L. J., Hart, G. L. W., Sanvito, S., Buongiorno-Nardelli, M., et al. (2012) · Computational Materials Science
Machine Learning in Materials ScienceAdvanced Chemical Physics Studies
Cited by 1,148
- Verified
Machine learning for alloys
Hart, G. L. W., Mueller, T., Toher, C., & Curtarolo, S. (2021) · Nature Reviews Materials
Machine Learning in Materials ScienceThermodynamic and Structural Properties of Metals and Alloys
Cited by 703
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