Grants per year
Personal profile
Research Interests
The Gingrich group applies analytical and computational methods to problems in statistical mechanics, stochastic thermodynamics, chemical kinetics, and biophysics. In particular, we seek principles and numerical techniques to describe nonequilibrium chemical dynamics. Inspired by biological systems that utilize chemical fuels to drive nonequilibrium processes, we aim to develop tools that can aid in the design of artificial systems with similar capabilities.
Education/Academic qualification
PhD, University of California at Berkeley
… → 2010
PhD, University of California, Berkeley
… → 2010
MSc, University of Oxford
… → 2010
BS, California Institute of Technology
… → 2008
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Computational Tools for Stochastic, Far-From-Equilibrium Chemical Kinetics
Gingrich, T. (PD/PI)
Camille and Henry Dreyfus Foundation, Inc.
9/1/24 → 8/31/29
Project: Research project
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Gingrich Self-Propellant Nanoparticle@MOF Catalysts for Chemical Warfare Agent Detoxification
Gingrich, T. (Co-Investigator) & Gingrich, T. (Co-Investigator)
Defense Threat Reduction Agency
3/1/24 → 2/28/29
Project: Research project
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Farha Self-Propellant Nanoparticle@MOF Catalysts for Chemical Warfare Agent Detoxification
Farha, O. K. (PD/PI), Farha, O. K. (PD/PI) & Gingrich, T. (Co-Investigator)
Defense Threat Reduction Agency
3/1/24 → 2/28/29
Project: Research project
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CAREER: Reaction-Diffusion Kinetics with Tensor Networks
Gingrich, T. (PD/PI)
9/1/23 → 8/31/28
Project: Research project
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From high-dimensional committors to reactive insights
Strand, N. E., Nicholson, S. B., Vroylandt, H. & Gingrich, T. R., Dec 14 2024, In: Journal of Chemical Physics. 161, 22, 224109.Research output: Contribution to journal › Article › peer-review
Open Access -
Limits on the Precision of Catenane Molecular Motors: Insights from Thermodynamics and Molecular Dynamics Simulations
Albaugh, A., Fu, R. S., Gu, G. & Gingrich, T. R., Jan 9 2024, In: Journal of Chemical Theory and Computation. 20, 1, p. 1-6 6 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Power Strokes in Molecular Motors: Predictive, Irrelevant, or Somewhere in Between?
Penocchio, E., Gu, G., Albaugh, A. & Gingrich, T. R., 2024, (Accepted/In press) In: Journal of the American Chemical Society.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Author Correction: Simulating a chemically fueled molecular motor with nonequilibrium molecular dynamics (Nature Communications, (2022), 13, 1, (2204), 10.1038/s41467-022-29393-3)
Albaugh, A. & Gingrich, T. R., Dec 2023, In: Nature communications. 14, 1, 389.Research output: Contribution to journal › Comment/debate › peer-review
Open Access2 Scopus citations -
Quantifying Rare Events in Stochastic Reaction-Diffusion Dynamics Using Tensor Networks
Nicholson, S. B. & Gingrich, T. R., Oct 2023, In: Physical Review X. 13, 4, 041006.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations
Datasets
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Simulating a Chemically-Fueled Molecular Motor with Nonequilibrium Molecular Dynamics
Albaugh, A. (Contributor) & Gingrich, T. R. (Contributor), ZENODO, Feb 2 2022
DOI: 10.5281/zenodo.4481182, https://zenodo.org/records/4481182
Dataset
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Estimating Reciprocal Partition Functions to Enable Design Space Sampling
Albaugh, A. (Contributor) & Gingrich, T. (Contributor), ZENODO, Oct 28 2020
DOI: 10.5281/zenodo.4150012, https://zenodo.org/record/4150012
Dataset