Reverse-Robust Computation with Chemical Reaction Networks

Ravi Kini; David Doty

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arXiv · 2604.14355

Reverse-Robust Computation with Chemical Reaction Networks

Ravi Kini·David Doty

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Abstract

Chemical reaction networks, or CRNs, are known to stably compute semilinear Boolean-valued predicates and functions, provided that all reactions are irreversible. However, this property does not hold for wet-lab implementations, as all chemical reactions are reversible, even at very slow rates. We study the computational power of CRNs under the reverse-robust computation model, where reactions are permitted to occur either in forward or in reverse up to a cutoff point, after which they may only occur in forward. Our main results show that all semilinear predicates and all semilinear functions can be computed reverse-robustly, and in fact, that existing constructions continue to hold under the reverse-robust computational model. A key tool used to prove correctness under the reverse-robust computation model is invariants: linear (or linear modulo some $m$) combinations of the counts of the species that are preserved by all reactions.

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Ravi Kini, David Doty. 2026-04-15. Reverse-Robust Computation with Chemical Reaction Networks. https://arxiv.org/abs/2604.14355

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