S
Schuyler B. Nicholson
Researcher at University of Massachusetts Boston
Publications - 15
Citations - 203
Schuyler B. Nicholson is an academic researcher from University of Massachusetts Boston. The author has contributed to research in topics: Entropy production & Non-equilibrium thermodynamics. The author has an hindex of 4, co-authored 13 publications receiving 93 citations.
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Time–information uncertainty relations in thermodynamics
Schuyler B. Nicholson,Luis Pedro García-Pintos,Luis Pedro García-Pintos,Adolfo del Campo,Adolfo del Campo,Adolfo del Campo,Jason R. Green +6 more
TL;DR: In this paper, a time-information uncertainty relation in thermodynamics has been derived, analogous to the time-energy uncertainty relations in quantum mechanics, imposing limits on the speed of energy and entropy exchange between a system and external reservoirs.
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Nonequilibrium uncertainty principle from information geometry
TL;DR: In this article, the authors derived a classical uncertainty relation for processes traversing nonequilibrium states both transiently and irreversibly with a statistical measure of distance, and showed that the geometric uncertainty associated with dynamical histories is an upper bound for the entropy production and flow rates, but does not correlate with the shortest distance to equilibrium.
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Structures in Sound: Analysis of Classical Music Using the Information Length
TL;DR: The key idea is to envision music as the evolution of a non-equilibrium system and to construct probability distribution functions from musical instrument digital interface (MIDI) files of classical compositions to discuss a way to quantitatively discriminate between music and noise.
Posted Content
Unifying Quantum and Classical Speed Limits on Observables
Luis Pedro García-Pintos,Schuyler B. Nicholson,Jason R. Green,Adolfo del Campo,Alexey V. Gorshkov +4 more
TL;DR: In this article, the authors derived a bound on the speed with which observables of open quantum systems evolve by isolating the coherent and incoherent contributions to the system dynamics, and showed that the latter provides tighter limits on the evolution of observables than previously known quantum speed limits.
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Learning the mechanisms of chemical disequilibria.
TL;DR: A variational measure of typicality is introduced and applied to atomistic simulations of a model for hydrogen oxidation to suggest that typical sequences are a route to learning mechanisms from experimental measurements and open up the possibility of constructing ensembles for computing the macroscopic observables of systems out of equilibrium.