Hummelshøj, Jens Strabo
Toyota Research Institute
3 papers on CoChatORCID 0009-0007-2619-5247
Most cited papers
- Verified
Genetic algorithms for computational materials discovery accelerated by machine learning
Jennings, P. C., Lysgaard, S., Hummelshøj, J. S., Vegge, T., & Bligaard, T. (2019) · npj Computational Materials
Machine Learning in Materials ScienceAdvanced Chemical Physics Studies
Cited by 269
- Verified
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
- Verified
Rational Solid-State Synthesis Routes for Inorganic Materials
Aykol, M., Montoya, J. H., & Hummelshøj, J. (2021) · Journal of the American Chemical Society
Machine Learning in Materials ScienceThermal and Kinetic Analysis
Cited by 117
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