Daniel S. Karls

发表

The OpenKIM processing pipeline: A cloud-based automatic material property computation engine.

Alexander A. Alemi, James P. Sethna, Daniel S. Karls, 2020, The Journal of chemical physics.

Transferability of Empirical Potentials and the Knowledgebase of Interatomic Models (KIM)

Daniel S. Karls, 2016 .

OpenKIM - Building a Knowledgebase of Interatomic Models

Alexander A. Alemi, James P. Sethna, Daniel S. Karls, 2014 .

Entropic stabilization of austenite in shape memory alloys

Daniel S. Karls, Ryan S. Elliott, R. Elliott, 2013 .

Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials

Berkeley, Daniel S. Karls, Ryan S. Elliott, 2021, 2112.10851.

Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials.

Berkeley, Daniel S. Karls, Ryan S. Elliott, 2021, Journal of Chemical Physics.

Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials.

Berkeley, Daniel S. Karls, Department of Electrical Engineering, 2021, The Journal of chemical physics.

Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling

Berkeley, Daniel S. Karls, Brigham Young University, 2022, 2022 IEEE 18th International Conference on e-Science (e-Science).

Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties

Daniel S. Karls, G. Karypis, E. Tadmor, 2022, NeurIPS.

Automated determination of grain boundary energy and potential-dependence using the OpenKIM framework

Daniel S. Karls, E. Tadmor, B. Runnels, 2022, Computational materials science.

Automated determination of grain boundary energy and potential-dependence using the OpenKIM framework

Daniel S. Karls, E. Tadmor, B. Runnels, 2022, 2212.12081.

Automated determination of grain boundary energy and potential-dependence using the OpenKIM framework

Daniel S. Karls, E. Tadmor, B. Runnels, 2022, Computational Materials Science.

HPC Extensions to the OpenKIM Processing Pipeline

Daniel S. Karls, E. Tadmor, Brendon Waters, 2022, 2022 IEEE 18th International Conference on e-Science (e-Science).

Bayesian, Frequentist, and Information Geometry approaches to parametric uncertainty quantification of classical empirical interatomic potentials

Daniel S. Karls, M. Transtrum, E. Tadmor, 2021 .

Type Label Framework for Bonded Force Fields in LAMMPS.

Daniel S. Karls, Jacob R. Gissinger, E. Tadmor, 2024, The journal of physical chemistry. B.