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pro vyhledávání: '"Kurniawan, Yonatan"'
Autor:
Kurniawan, Yonatan, Petrie, Cody L., Transtrum, Mark K., Tadmor, Ellad B., Elliott, Ryan S., Karls, Daniel S., Wen, Mingjian
Atomistic simulations are an important tool in materials modeling. Interatomic potentials (IPs) are at the heart of such molecular models, and the accuracy of a model's predictions depends strongly on the choice of IP. Uncertainty quantification (UQ)
Externí odkaz:
http://arxiv.org/abs/2206.00578
Autor:
Kurniawan, Yonatan, Petrie, Cody L., Williams, Kinamo J., Transtrum, Mark K., Tadmor, Ellad B., Elliott, Ryan S., Karls, Daniel S., Wen, Mingjian
Publikováno v:
J. Chem. Phys. 156, 214103 (2022)
In this paper, we consider the problem of quantifying parametric uncertainty in classical empirical interatomic potentials (IPs) using both Bayesian (Markov Chain Monte Carlo) and frequentist (profile likelihood) methods. We interface these tools wit
Externí odkaz:
http://arxiv.org/abs/2112.10851
Autor:
Kurniawan, Yonatan, Petrie, Cody L., Williams Jr., Kinamo J., Transtrum, Mark K., Tadmor, Ellad B., Elliott, Ryan S., Karls, Daniel S., Wen, Mingjian
Publikováno v:
Journal of Chemical Physics; 6/7/2022, Vol. 156 Issue 21, p1-21, 21p
Akademický článek
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Autor:
Kurniawan, Yonatan
Publikováno v:
Theses and Dissertations.
Uncertainty quantification (UQ) is an increasingly important part of materials modeling. In this paper, we consider the problem of quantifying parametric uncertainty in classical empirical interatomic potentials (IPs). Previous work based on local se