Difference between revisions of "Samuel Tovey"
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Samuel Tovey
PhD student
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|name=Tovey, Samuel | |name=Tovey, Samuel | ||
|status=PhD student | |status=PhD student | ||
| − | |phone= | + | |phone=67711 |
| − | |room=1. | + | |room=1.077 |
|email=stovey | |email=stovey | ||
|category=holm | |category=holm | ||
Revision as of 14:56, 30 January 2023
PhD student
| Office: | 1.077 |
|---|---|
| Phone: | +49 711 685-67711 |
| Fax: | +49 711 685-63658 |
| Email: | stovey _at_ icp.uni-stuttgart.de |
| Address: | Samuel Tovey Institute for Computational Physics Universität Stuttgart Allmandring 3 70569 Stuttgart Germany |
I am a PhD student in Christian Holm's group, working on applications of machine learning in simulation science.
Publications
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Samuel Tovey, Anand Narayanan Krishnamoorthy, Ganesh Sivaraman, Jicheng Guo, Chris Benmore, Andreas Heuer, Christian Holm.
DFT Accurate Interatomic Potential for Molten NaCl from Machine Learning.
The Journal of Physical Chemistry C 124(47):25760-25768, 2020.
[PDF] (1.4 MB) [DOI]
Master's Thesis
During my masters thesis I developed an interatomic potential for molten NaCl and LiF using a machine learning method known as Gaussian Process Regression (GPR). The models were developed using data from Density Functional Theory (DFT) simulations.