Ryan Pederson

Graduate student
NS II 1202
(949) 824-0465

About me

I graduated from Virginia Tech with a B.S. in Physics and Mathematics. I am currently a PhD student in the department of physics and am interested in improving the accuracy and efficiency of DFT. Specifically, I am interested in strongly correlated systems, and in general, utilizing machine learning approaches to problems in DFT.
Google Scholar Publications

Publications with Kieron
6 results
[224] Seven Useful Questions in Density Functional Theory Steven Crisostomo, Ryan Pederson, John Kozlowski, Bhupalee Kalita, Antonio C. Cancio, Kiril Datchev, Adam Wasserman, Suhwan Song, and Kieron Burke, (2022). [bibtex] [pdf] [arXiv]
[222] Machine learning and density functional theory Ryan Pederson, Bhupalee Kalita, and Kieron Burke, Nature Reviews Physics (2022). [bibtex] [pdf] [doi] [arXiv]
[219] Conditional probability density functional theory Ryan Pederson, Jielun Chen, Steven R. White, and Kieron Burke, Phys. Rev. B 105, 245138 (2022). [bibtex] [pdf] [doi] [arXiv]
[215] How Well Does Kohn–Sham Regularizer Work for Weakly Correlated Systems? Bhupalee Kalita, Ryan Pederson, Jielun Chen, Li Li, and Kieron Burke, The Journal of Physical Chemistry Letters 13, 2540-2547 (2022). [bibtex] [pdf] [doi] [arXiv]
[206] Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, and Kieron Burke, Phys. Rev. Lett. 126, 036401 (2021). [bibtex] [pdf] [doi] [arXiv]
[202] Bypassing the Energy Functional in Density Functional Theory: Direct Calculation of Electronic Energies from Conditional Probability Densities Ryan J. McCarty, Dennis Perchak, Ryan Pederson, Robert Evans, Yiheng Qiu, Steven R. White, and Kieron Burke, Phys. Rev. Lett. 125, 266401 (2020). [bibtex] [pdf] [doi] [arXiv]