☕️About Me
My research interests include molecular simulation, statistical and quantum mechanics, scientific machine learning, material design and development, and molecular discovery. I am a postdoctoral scholar in the labs of Dr. Andrew Ferguson and Dr. Junhong Chen at the Pritkzer School of Molecular Engineering at the Unviersity of Chicago. I received my Ph.D. in Computation Modeling and Simulation from the University of Pittsburgh under the mentorship of Dr. J. Karl Johnson.
Interests
- Statistical Mechanics
- Quantum Mechanics
- Machine Learning
- Molecular Simulations
Education
PhD Computational Modeling and Simulation
University of Pittsburgh
MS Chemical Engineering
Carnegie Mellon University
BE Chemical Engineering
RV College of Engineering
Recent Publications
(2024).
Leveraging Ligand Steric Demand to Control Ligand Exchange and Domain Composition in Stratified Metal–Organic Frameworks.
Angewandte Chemie.
(2023).
Deep-learning potentials for proton transport in double-sided graphanol.
Journal of Materials Research.
(2023).
Deep-learning potentials for proton transport in double-sided graphanol.
Journal of Materials Research.
(2023).
Machine Learning Electron Density Prediction Using Weighted Smooth Overlap of Atomic Positions.
Nanomaterials.
(2023).
In Silico Demonstration of Fast Anhydrous Proton Conduction on Graphanol.
ACS Applied Materials & Interfaces.