David Sivak

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Associate Professor

Simon Fraser University

Canada

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About

David Sivak is an Associate Professor at Simon Fraser University, Canada. His research encompasses information thermodynamics, with a focus on transition paths between multiple mesostates, performance limits of information engines, and the energetic costs of feedback control. Recent articles include topics such as maximizing free-energy transduction and optimal control in stochastic thermodynamics.

Recent Grants

Grant: Close

Nonequilibrium free energy transduction in biomolecular machines

Open Date: 2020-04-01

Close Date: 2021-03-31

Grant: Close

Nonequilibrium Statistical Biophysics

Open Date: 2020-04-01

Close Date: 2021-03-31

Grant: Close

Efficient energy and information transduction in microscopic nonequilibrium systems

Open Date: 2019-04-01

Close Date: 2020-03-31

Grant: Close

Nonequilibrium Statistical Biophysics

Open Date: 2019-04-01

Close Date: 2020-03-31

Grant: Close

Nonequilibrium Statistical Biophysics

Open Date: 2018-04-01

Close Date: 2019-03-31

Articles (20)

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (2)

Eoin Brodie

University of California

UNITED STATES

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Eric William Jones

Assistant Professor

University of Colorado Colorado Springs

UNITED STATES

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David Sivak

Research Interests

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Contact this professor

About

Recent Grants

Articles (20)

Information thermodynamics of transition paths between multiple mesostates

Unlocking the potential of information flow: Maximizing free-energy transduction in a model of an autonomous rotary molecular motor

Jensen bound for the entropy production rate in stochastic thermodynamics

Performance limits of information engines

A symbiotic physical niche in Drosophila melanogaster regulates stable association of a multi-species gut microbiota

Efficient control protocols for an active Ornstein-Uhlenbeck particle

Information Engine in a Nonequilibrium Bath

Energetic cost of feedback control

Inferring Subsystem Efficiencies in Bipartite Molecular Machines

Optimal control in stochastic thermodynamics

Internal energy and information flows mediate input and output power in bipartite molecular machines

Stochastic microbiome assembly depends on context

Performance scaling and trade-offs for collective motor-driven transport

Maximal fluctuation exploitation in Gaussian information engines

Heat fluctuations in a harmonic chain of active particles

Steps minimize dissipation in rapidly driven stochastic systems

Maximizing power and velocity of an information engine

Free-energy transduction within autonomous systems

Hidden energy flows in strongly coupled nonequilibrium systems

Skewed thermodynamic geometry and optimal free energy estimation

Collaborators (2)

Eoin Brodie

Eric William Jones

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