International audienceThe 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 species, possibly restricted to elementary reactions, i.e. with at most two reactants and mass action law kinetics. In this paper, we introduce a notion of online analog computation for the CRNs that stabilize the concentration of their output species to the result of some function of the concentration values of their input species, whatever changes are operated on the inputs during the computation. We prove that the set of real functions stabilized by a CRN with mass action law kinetics is precisely the set of real algebraic functions
A highly desired part of the synthetic biology toolbox is an embedded chemical microcontroller, capa...
The online estimation of the derivative of an input signal is widespread in control theory and engin...
In prior work we demonstrated the implementation of logic gates, sequential computers (universal Tur...
The Turing completeness of continuous Chemical Reaction Networks (CRNs) states that any computable r...
International audienceThe Turing completeness result for continuous chemical reaction networks (CRN)...
Best paper awardInternational audienceWhen seeking to understand how computation is carried out in t...
Understanding the algorithmic behaviors that are in principle realizable in a chemical system is nec...
Understanding the algorithmic behaviors that are in princi-ple realizable in a chemical system is ne...
International audienceOne goal of synthetic biology is to implement useful functions with biochemica...
In biological organisms, networks of chemical reactions control the processing of information in a c...
Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. CRNs are widely...
Motivated by the intriguing complexity of biochemical circuitry within individual cells we study Sto...
The computational power of stochastic chemical reaction networks (CRNs) varies significantly with th...
A highly desired part of the synthetic biology toolbox is an embedded chemical microcontroller, capa...
The online estimation of the derivative of an input signal is widespread in control theory and engin...
In prior work we demonstrated the implementation of logic gates, sequential computers (universal Tur...
The Turing completeness of continuous Chemical Reaction Networks (CRNs) states that any computable r...
International audienceThe Turing completeness result for continuous chemical reaction networks (CRN)...
Best paper awardInternational audienceWhen seeking to understand how computation is carried out in t...
Understanding the algorithmic behaviors that are in principle realizable in a chemical system is nec...
Understanding the algorithmic behaviors that are in princi-ple realizable in a chemical system is ne...
International audienceOne goal of synthetic biology is to implement useful functions with biochemica...
In biological organisms, networks of chemical reactions control the processing of information in a c...
Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. CRNs are widely...
Motivated by the intriguing complexity of biochemical circuitry within individual cells we study Sto...
The computational power of stochastic chemical reaction networks (CRNs) varies significantly with th...
A highly desired part of the synthetic biology toolbox is an embedded chemical microcontroller, capa...
The online estimation of the derivative of an input signal is widespread in control theory and engin...
In prior work we demonstrated the implementation of logic gates, sequential computers (universal Tur...