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Steve Schmerler

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2020 – today

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2024
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  - journals/corr/abs-2411-19617
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  - https://dblp.org/rec/journals/corr/abs-2411-19617
Attila Cangi, Lenz Fiedler, Bartosz Brzoza, Karan Shah, Timothy J. Callow, Daniel Kotik, Steve Schmerler, Matthew C. Barry, James M. Goff, Andrew Rohskopf, Dayton J. Vogel, Normand A. Modine, Aidan P. Thompson, Sivasankaran Rajamanickam:
Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations. CoRR abs/2411.19617 (2024)
2022
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Peter Steinbach, Felicita Gernhardt, Mahnoor Tanveer, Steve Schmerler, Sebastian Starke:
Machine Learning State-of-the-Art with Uncertainties. CoRR abs/2204.05173 (2022)

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