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
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Grants
- 3 Active
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Development of non-equilibrium computer simulations of molecular motors
Gordon E. and Betty I. Moore Foundation
12/2/21 → 12/1/26
Project: Research project
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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 Access -
Computing time-periodic steady-state currents via the time evolution of tensor network states
Strand, N. E., Vroylandt, H. & Gingrich, T. R., Aug 7 2022, In: Journal of Chemical Physics. 157, 5, 054104.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Measuring how effectively light drives a molecular pump
Gingrich, T. R., Jul 2022, In: Nature nanotechnology. 17, 7, p. 675-676 2 p.Research output: Contribution to journal › Article › peer-review
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Simulating a chemically fueled molecular motor with nonequilibrium molecular dynamics
Albaugh, A. & Gingrich, T. R., Dec 2022, In: Nature communications. 13, 1, 2204.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Thermodynamic uncertainty relation for Langevin dynamics by scaling time
Fu, R. S. & Gingrich, T. R., Aug 2022, In: Physical Review E. 106, 2, 024128.Research output: Contribution to journal › Article › peer-review
3 Scopus citations
Datasets
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Simulating a Chemically-Fueled Molecular Motor with Nonequilibrium Molecular Dynamics
Albaugh, A. (Contributor) & Gingrich, T. (Contributor), ZENODO, Feb 2 2022
DOI: 10.5281/zenodo.4481182, https://zenodo.org/record/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