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Author

Jason W. Rocks

2 papers indexed here

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Preprint Sep 2026

Local energetic coupling enhances the expressivity of chemical computation

Living systems compute with chemistry by mapping environmental signals onto specific internal chemical states. Despite recent advances in molecular programming, it remains unclear which physicochemical features control the computational expressivity of chemical systems. Here we inverse-design thermodynamically consiste...

Marco Tuccio, Jason W. Rocks, J. Goldford · 0 citations
Open access Sep 2026

Double descent without digital computation.

The success of large-scale AI relies on the phenomenon of double descent, where overfitting first increases and then counterintuitively decreases as the network grows relative to the amount of training data and becomes overparameterized. In this overparameterized regime it is easy to find good solutions that do not ove...

Sam Dillavou, Jason W. Rocks, Jacob F. Wycoff et al. · 0 citations

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