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Non-Equilibrium Thermodynamics of Catalytic Information Processing Ouldridge, Thomas
Description
Catalytic motifs are ubiquitous in cellular information-processing systems, from kinase signalling networks to the central dogma of molecular biology. This ubiquity results from the ability of catalysts to channel chemical free energy into far-from-equilibrium information-bearing states, allowing them to perform non-trivial computational operations. This power, however, comes at a price. At a fundamental level, the need to create non-equilibrium outputs sets thermodynamic constraints on these systems. At a practical level, catalysts must carefully balance kinetic and thermodynamic factors to ensure that the desired non-equilibrium output is actually reached. The complexity of this task explains the comparatively slow progress made with engineering synthetic non-equilibrium information-processing systems, as opposed to synthetic systems that form complex equilibrium assemblies. I will present our latest work - both theoretical and experimental - aimed at overcoming this challenge to engineer non-equilibrium catalytic systems for information processing.
Item Metadata
Title |
Non-Equilibrium Thermodynamics of Catalytic Information Processing
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2020-07-29T08:03
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Description |
Catalytic motifs are ubiquitous in cellular information-processing systems, from
kinase signalling networks to the central dogma of molecular biology. This
ubiquity results from the ability of catalysts to channel chemical free energy
into far-from-equilibrium information-bearing states, allowing them to perform
non-trivial computational operations. This power, however, comes at a price. At
a fundamental level, the need to create non-equilibrium outputs sets
thermodynamic constraints on these systems. At a practical level, catalysts must
carefully balance kinetic and thermodynamic factors to ensure that the desired
non-equilibrium output is actually reached. The complexity of this task explains
the comparatively slow progress made with engineering synthetic non-equilibrium
information-processing systems, as opposed to synthetic systems that form
complex equilibrium assemblies. I will present our latest work - both
theoretical and experimental - aimed at overcoming this challenge to engineer
non-equilibrium catalytic systems for information processing.
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Extent |
72.0 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Imperial College London
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Series | |
Date Available |
2021-01-26
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0395696
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International