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2025-06-06 09:53:26

This https://arxiv.org/abs/2406.03456 has been replaced.
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Recurrent neural chemical reaction networks that approximate arbitrary dynamics
Many important phenomena in biochemistry and biology exploit dynamical features such as multi-stability, oscillations, and chaos. Construction of novel chemical systems with such rich dynamics is a challenging problem central to the fields of synthetic biology and molecular nanotechnology. In this paper, we address this problem by putting forward a molecular version of a recurrent artificial neural network, which we call recurrent neural chemical reaction network (RNCRN). The RNCRN uses a modul…