Deoxyribonucleic acid (DNA) comprises four nucleotides and twenty amino acids (a
combination of nucleotides) that generate living organisms' structures. These discrete …

The construction of models of system behavior is of great importance throughout science
and engineering. In bioengineering and bionanotechnology, these often take the form of …

Biochemical interactions in systems and synthetic biology are often modeled with chemical
reaction networks (CRNs). CRNs provide a principled modeling environment capable of …

This paper presents novel implementations for reservoir computing (RC) using DNA
oscillators. An RC system consists of two parts: reservoir and readout layer. The reservoir …

The development of programmable or trainable molecular circuits is an important goal in the
field of molecular programming. Multilayer, nonlinear, artificial neural networks are a …

DNA catalysts are fundamental building blocks for diverse molecular information-processing
circuits. Allosteric control of DNA catalysts has been developed to activate desired catalytic …

The design and implementation of adaptive chemical reaction networks, capable of
adjusting their behavior over time in response to experience, is a key goal for the fields of …

Embedding computation in molecular contexts incompatible with traditional electronics is
expected to have wide ranging impact in synthetic biology, medicine, nanofabrication and …

The Turing completeness of continuous chemical reaction networks (CRNs) states that any
computable real function can be computed by a continuous CRN on a finite set of molecular …

We introduce a new model of\emph {step} Chemical Reaction Networks (step CRNs),
motivated by the step-wise addition of materials in standard lab procedures. Step CRNs …