Ryan T. Grimm

Research Interests

• Tensor Network Methods
• Quantum Dynamics
• Statistical Mechanics

Education and Awards

• Recipient of the NSF GRFP
• B.S. in Applied Mathematics: University of New Mexico
• B.S. in Chemistry: University of New Mexico
• Physics Minor: University of New Mexico

Publications

• Ryan T. Grimm, Alex J. Staat, Joel D. Eaves, The Integral Decimation Method for Quantum Dynamics and Statistical Mechanics. arXiv 2025
• Ryan T. Grimm, Joel D. Eaves; Accurate numerical simulations of open quantum systems using spectral tensor trains. J. Chem. Phys. 21 December 2024; 161 (23): 234111.
• Ryan T. Grimm, and Joel D. Eaves, Accurate Numerical Simulations of Open Quantum Systems Using Spectral Tensor Trains, arXiv 2024
• Ryan T. Grimm, and Joel D. Eaves, Direct Numerical Solutions to Stochastic Differential Equations with Multiplicative Noise, Phys. Rev. Lett. 132(26) 267101 2024
• Pranab Deb, Ryan T. Grimm, and John K. Grey, Unique Degradation Signatures of Organic Solar Cells with Nonfullerene Electron Acceptors, ACS Appl. Mater. Interfaces 13(4) 5338-5348 2021
• Ryan T. Grimm, Pranab Deb, David J. Walwark Jr., Christian Viets, and John K. Grey, Implications of Trap-Assisted Nongeminate Charge Recombination on Time- and Frequency-Domain Photocurrent Degradation Signatures of Organic Solar Cells, J. Phys. Chem. C 124(31) 16838-16848 2020
• Benjamin D. Datko, Ryan Grimm, David J. Walwark, Brandon Burnside, and John K. Grey, Resolving population dynamics and interaction of muliple triplet excitons one molecule at a time, J. Chem. Phys. 151, 044203 2019