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KJ Schmidt
KJ Schmidt
Verified email at uchicago.edu
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Cited by
Year
14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
KM Jablonka, Q Ai, A Al-Feghali, S Badhwar, JD Bocarsly, AM Bran, ...
Digital Discovery 2 (5), 1233-1250, 2023
392023
FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy
N Ravi, P Chaturvedi, EA Huerta, Z Liu, R Chard, A Scourtas, KJ Schmidt, ...
Scientific Data 9 (1), 657, 2022
132022
Graph network based deep learning of bandgaps
XG Li, B Blaiszik, ME Schwarting, R Jacobs, A Scourtas, KJ Schmidt, ...
The Journal of Chemical Physics 155 (15), 2021
122021
In silico active learning for small molecule properties
L Schneider, M Schwarting, J Mysona, H Liang, M Han, PM Rauscher, ...
Molecular Systems Design & Engineering 7 (12), 1611-1621, 2022
72022
Infrastructure for analysis of large microscopy and microanalysis data sets
J Wei, C Francis, D Morgan, KJ Schmidt, A Scourtas, I Foster, B Blaiszik, ...
Microscopy and Microanalysis 28 (S1), 3094-3096, 2022
42022
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science
KJ Schmidt, A Scourtas, L Ward, S Wangen, M Schwarting, I Darling, ...
Journal of Open Source Software, 2024
2024
14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
A Imran, M Schwarting, KM Jablonka, Q Ai, A Al-Feghali, S Badhwar, ...
RSC, 2023
2023
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