Cells Solved the Gibbs Paradox by Learning to Contain Entropic Forces

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As Nature’s version of machine learning, evolution has solved many extraordinarily complex problems, none perhaps more remarkable than learning to harness an increase in chemical entropy (disorder) to generate directed chemical forces (order). Using muscle as a model system, here I unpack the basic...

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Detalles Bibliográficos
Autor principal: Baker, Josh E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246067/
https://www.ncbi.nlm.nih.gov/pubmed/37292461
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