Michael R DeWeese
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Explore the profile of Michael R DeWeese including associated specialties, affiliations and a list of published articles.
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40
Citations
928
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Recent Articles
1.
Zhong A, Kuznets-Speck B, DeWeese M
Phys Rev E
. 2024 Oct;
110(3-1):034121.
PMID: 39425427
The free-energy difference ΔF between two high-dimensional systems is notoriously difficult to compute but very important for many applications such as drug discovery. We demonstrate that an unconventional definition of...
2.
Zhong A, DeWeese M
Phys Rev Lett
. 2024 Aug;
133(5):057102.
PMID: 39159082
A fundamental result of thermodynamic geometry is that the optimal, minimal-work protocol that drives a nonequilibrium system between two thermodynamic states in the slow-driving limit is given by a geodesic...
3.
Barbosa J, Proville R, Rodgers C, DeWeese M, Ostojic S, Boubenec Y
Nat Commun
. 2023 Oct;
14(1):6837.
PMID: 37884507
Brains can gracefully weed out irrelevant stimuli to guide behavior. This feat is believed to rely on a progressive selection of task-relevant stimuli across the cortical hierarchy, but the specific...
4.
Zhong A, DeWeese M
Phys Rev E
. 2022 Nov;
106(4-1):044135.
PMID: 36397571
Recent studies have explored finite-time dissipation-minimizing protocols for stochastic thermodynamic systems driven arbitrarily far from equilibrium, when granted full external control to drive the system. However, in both simulation and...
5.
Frim A, DeWeese M
Phys Rev Lett
. 2022 Jun;
128(23):230601.
PMID: 35749204
Stochastic thermodynamics has revolutionized our understanding of heat engines operating in finite time. Recently, numerous studies have considered the optimal operation of thermodynamic cycles acting as heat engines with a...
6.
Frim A, DeWeese M
Phys Rev E
. 2022 Jun;
105(5):L052103.
PMID: 35706186
Recent advances in experimental control of colloidal systems have spurred a revolution in the production of mesoscale thermodynamic devices. Functional "textbook" engines, such as the Stirling and Carnot cycles, have...
7.
Wadia N, Zarcone R, DeWeese M
Phys Rev E
. 2022 Apr;
105(3-1):034130.
PMID: 35428124
Considerable progress has recently been made with geometrical approaches to understanding and controlling small out-of-equilibrium systems, but a mathematically rigorous foundation for these methods has been lacking. Towards this end,...
8.
Frye C, Simon J, Wadia N, Ligeralde A, DeWeese M, Bouchard K
Neural Comput
. 2021 Sep;
33(6):1469-1497.
PMID: 34496389
Despite the fact that the loss functions of deep neural networks are highly nonconvex, gradient-based optimization algorithms converge to approximately the same performance from many random initial points. One thread...
9.
Frim A, Zhong A, Chen S, Mandal D, DeWeese M
Phys Rev E
. 2021 Apr;
103(3):L030102.
PMID: 33862711
Engineered swift equilibration (ESE) is a class of driving protocols that enforce an equilibrium distribution with respect to external control parameters at the beginning and end of rapid state transformations...
10.
Albanna B, Hillar C, Sohl-Dickstein J, DeWeese M
Entropy (Basel)
. 2021 Feb;
19(8).
PMID: 33535369
Maximum entropy models are increasingly being used to describe the collective activity of neural populations with measured mean neural activities and pairwise correlations, but the full space of probability distributions...