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Cells Solved the Gibbs Paradox by Learning to Contain Entropic Forces
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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cornell University
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246067/ https://www.ncbi.nlm.nih.gov/pubmed/37292461 |