Difference between revisions of "Samuel Tovey"
Jump to navigation
Jump to search
Samuel Tovey
PhD student
| Line 12: | Line 12: | ||
=== Publications === | === Publications === | ||
<bibentry>tovey20a</bibentry> | <bibentry>tovey20a</bibentry> | ||
| + | |||
| + | === Master's Thesis === | ||
| + | During my masters thesis I developed and 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. | ||
Revision as of 16:55, 20 November 2020
PhD student
| Office: | 1.076 |
|---|---|
| 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
-
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 and 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.