Pavan Ravindra
- Program Year: 1
- Academic Institution: Columbia University
- Field of Study: Chemical Physics
- Academic Advisor: David Reichman
- Practicum(s): Practicum Not Yet Completed
- Degree(s):
M.Phil. Chemistry, University of Cambridge, 2022; B.S. Biochemistry, and B.S. Computer Science, University of Maryland College Park, 2021 - Personal URL: http://pavanravindra.github.io
Summary of Research
I use tools from physics and machine learning to study a broad range of chemical systems, such as supercooled liquids, nano-materials, and biomolecules. My current projects are below:1. Using machine learning to understand structural relaxation in supercooled liquids as we approach the glass transition
2. Computing phase diagrams of nano-materials (namely nano-confined water)
3. Understanding how light-matter interactions in optical cavities can influence chemical kinetics
Publications
1. Ravindra, P., Smith, Z., Tiwary, P. (2020). Automatic mutual information noise omission (AMINO): Generating order parameters for molecular systems. Molecular Systems Design & Engineering.2. Smith, Z., Ravindra, P., Wang, Y., Cooley, R., Tiwary, P. (2020). Discovering Protein Conformational Flexibility Through Artificial Intelligence Aided Molecular Dynamics. The Journal of Physical Chemistry B.
3. Ravindra, P., Advincula, X., Schran, C., Michaelides, A., Kapil, V. (2023). A quasi-one-dimensional hydrogen-bonded monolayer ice phase. arXiv.
Awards
- Churchill Scholarship- Goldwater Scholarship
- Banneker/Key Scholarship