Pavan Ravindra
- Program Year: 2
- Academic Institution: Columbia University
- Field of Study: Chemical Physics
- Academic Advisor: David Reichman
- Practicum(s):
Brookhaven National Laboratory (2024) - Degree(s):
M.Phil. Chemistry, University of Cambridge, 2022; B.S. Biochemistry, and B.S. Computer Science, University of Maryland College Park, 2021
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. Some current projects I'm working on:1. Efficiently simulating dynamical systems with machine learning models
2. Representing quantum states of fermionic systems using neural networks
3. Transforming between experimental and simualted X-ray absorption spectra using data-driven approaches
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. (2024). A quasi-one-dimensional hydrogen-bonded monolayer ice phase. Nature Communications.
4. Ravindra, P., Advincula, X., Shi, B., Coles, S., Michaelides, A., & Kapil, V. (2024). Nuclear quantum effects induce superionic proton transport in nanoconfined water. arXiv.
Awards
- Churchill Scholarship- Goldwater Scholarship
- Banneker/Key Scholarship