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Daniel S. Karls
Daniel S. Karls
Research Associate, University of Minnesota
Verified email at umn.edu
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Cited by
Cited by
Year
Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials
Y Kurniawan, CL Petrie, KJ Williams, MK Transtrum, EB Tadmor, ...
The Journal of Chemical Physics 156 (21), 2022
122022
Entropic stabilization of austenite in shape memory alloys
RS Elliott, DS Karls
Journal of the Mechanics and Physics of Solids 61 (12), 2522-2536, 2013
112013
The OpenKIM processing pipeline: A cloud-based automatic material property computation engine
DS Karls, M Bierbaum, AA Alemi, RS Elliott, JP Sethna, EB Tadmor
The Journal of Chemical Physics 153 (6), 2020
82020
Transferability of Empirical Potentials and the Knowledgebase of Interatomic Models (KIM)
D Karls
University of Minnesota, 2016
62016
Automated determination of grain boundary energy and potential-dependence using the OpenKIM framework
B Waters, DS Karls, I Nikiforov, RS Elliott, EB Tadmor, B Runnels
Computational Materials Science 220, 112057, 2023
52023
Injecting domain knowledge from empirical interatomic potentials to neural networks for predicting material properties
Z Shui, D Karls, M Wen, E Tadmor, G Karypis
Advances in Neural Information Processing Systems 35, 14839-14851, 2022
22022
HPC Extensions to the OpenKIM Processing Pipeline
DS Karls, SM Clark, BA Waters, RS Elliott, EB Tadmor
2022 IEEE 18th International Conference on e-Science (e-Science), 278-283, 2022
12022
Type Label Framework for Bonded Force Fields in LAMMPS
JR Gissinger, I Nikiforov, Y Afshar, B Waters, M Choi, DS Karls, ...
The Journal of Physical Chemistry B, 2024
2024
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling
Y Kurniawan, CL Petrie, MK Transtrum, EB Tadmor, RS Elliott, DS Karls, ...
2022 IEEE 18th International Conference on e-Science (e-Science), 367-377, 2022
2022
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