ArticleiScience2019
How Chemistry Computes: Language Recognition by Non-Biochemical Chemical Automata. From Finite Automata to Turing Machines.
Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- From Microcurrents to Macrodynamics: Harnessing Mixed Potentials for Large, Tunable Acceleration of Belousov-Zhabotinsky Oscillations.Journal of the American Chemical Society · 2026Article
- When prediction fails: a computational complexity view of stress.Frontiers in veterinary science · 2026Article
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- The Role of Experimental Noise in a Hybrid Classical-Molecular Computer to Solve Combinatorial Optimization Problems.ACS central science · 2023Article
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- Chemical Memory with Discrete Turing Patterns Appearing in the Glycolytic Reaction.Biomimetics (Basel, Switzerland) · 2023Article
- Article
- Information Processing Using Networks of Chemical Oscillators.Entropy (Basel, Switzerland) · 2022Article
- Thermodynamic State Machine Network.Entropy (Basel, Switzerland) · 2022Article
- Article
- Computing With Networks of Chemical Oscillators and its Application for Schizophrenia Diagnosis.Frontiers in chemistry · 2022Article
- The Concilium of Information Processing Networks of Chemical Oscillators for Determining Drug Response in Patients With Multiple Myeloma.Frontiers in chemistry · 2022Article
- Quantitative estimation of chemical microheterogeneity through the determination of fuzzy entropy.Frontiers in chemistry · 2022Article
- Exploring the symbol processing 'time interval' parametric constraint in a Belousov-Zhabotinsky operated chemical Turing machine.RSC advances · 2021Article
- Native Chemical Computation. A Generic Application of Oscillating Chemistry Illustrated With the Belousov-Zhabotinsky Reaction. A Review.Frontiers in chemistry · 2021Review
- In-vitro reconfigurability of native chemical automata, the inclusiveness of their hierarchy and their thermodynamics.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Every problem in computing can be cast as decision problems of whether strings are in a language or not. Computations and language recognition are carried out by three classes of automata, the most complex of which is the Turing machine. Living systems compute using biochemistry; in the artificial, computation today is mostly electronic. Thinking of chemical reactions as molecular recognition machines, and without using biochemistry, we realize one automaton in each class by means of one-pot, table top chemical reactors: from the simplest, Finite automata, to the most complex, Turing machines. Language acceptance/rejection criteria by automata can be formulated using energy considerations. Our Turing machine uses the Belousov-Zhabotinsky chemical reaction and checks the same symbol in an Avogadro's number of processors. Our findings have implications for chemical and general computing, artificial intelligence, bioengineering, the study of the origin and presence of life on other planets, and for artificial biology.
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