Mihira Sogal

Graduate student
NS II 2107
(949) 824-0465

About me

I'm Mihira Sogal, a second-year PhD student in the chemistry department. I completed my B.S. at Harvey Mudd College, where I became interested in using machine learning and data science to aid method development in computational chemistry. Since joining the Burke group, I've complimented my computational research with paper-and-pencil theory, particularly in the area of density-corrected DFT. If you can't find me in the office, try checking the local running trails :)

Publications with Kieron
2 results
[236] Can machines learn density functionals? Past, present, and future of ML in DFT Ryosuke Akashi, Mihira Sogal, and Kieron Burke, Chapter in Machine Learning in Condensed Matter Physics - Significance, Challenges, and Future Directions (2025). [bibtex] [pdf] [arXiv]
[233] Correcting dispersion corrections with density-corrected DFT Minhyeok Lee, Byeongjae Kim, Mingyu Sim, Mihira Sogal, Youngsam Kim, Hayoung Yu, Kieron Burke, and Eunji Sim, Journal of Chemical Theory and Computation 20, 7155-7167 (2024). [bibtex] [pdf] [doi]