Zobrazeno 1 - 10
of 129
pro vyhledávání: '"SOLOVEICHIK, DAVID"'
Autor:
Doty, David, Kornerup, Niels, Luchsinger, Austin, Orshansky, Leo, Soloveichik, David, Woods, Damien
The key factor currently limiting the advancement of computational power of electronic computation is no longer the manufacturing density and speed of components, but rather their high energy consumption. While it has been widely argued that reversib
Externí odkaz:
http://arxiv.org/abs/2309.06957
The field of chemical computation attempts to model computational behavior that arises when molecules, typically nucleic acids, are mixed together. Thermodynamic binding networks (TBNs) is a highly abstracted model that focuses on which molecules are
Externí odkaz:
http://arxiv.org/abs/2307.01550
Discrete chemical reaction networks formalize the interactions of molecular species in a well-mixed solution as stochastic events. Given their basic mathematical and physical role, the computational power of chemical reaction networks has been widely
Externí odkaz:
http://arxiv.org/abs/2307.01939
Pebble games are popular models for analyzing time-space trade-offs. In particular, the reversible pebble game is often applied in quantum algorithms like Grover's search to efficiently simulate classical computation on inputs in superposition. Howev
Externí odkaz:
http://arxiv.org/abs/2110.08973
Publikováno v:
Proceedings of the National Academy of Sciences, 119(24):e2111552119, 2022
Embedding computation in biochemical environments incompatible with traditional electronics is expected to have wide-ranging impact in synthetic biology, medicine, nanofabrication and other fields. Natural biochemical systems are typically modeled by
Externí odkaz:
http://arxiv.org/abs/2109.11422
Coupled chemical interactions in a well-mixed solution are commonly formalized as chemical reaction networks (CRNs). However, despite the widespread use of CRNs in the natural sciences, the range of computational behaviors exhibited by CRNs is not we
Externí odkaz:
http://arxiv.org/abs/2107.13681
Embedding computation in molecular contexts incompatible with traditional electronics is expected to have wide ranging impact in synthetic biology, medicine, nanofabrication and other fields. A key remaining challenge lies in developing programming p
Externí odkaz:
http://arxiv.org/abs/2003.13720
Formal methods have enabled breakthroughs in many fields, such as in hardware verification, machine learning and biological systems. The key object of interest in systems biology, synthetic biology, and molecular programming is chemical reaction netw
Externí odkaz:
http://arxiv.org/abs/1912.06197
Publikováno v:
Computational Methods in Systems Biology 1 (2018) 256-273
Biological regulatory networks depend upon chemical interactions to process information. Engineering such molecular computing systems is a major challenge for synthetic biology and related fields. The chemical reaction network (CRN) model idealizes c
Externí odkaz:
http://arxiv.org/abs/1907.00053
Population protocols are a distributed computing model appropriate for describing massive numbers of agents with limited computational power. A population protocol "has an initial leader" if every valid initial configuration contains a single agent i
Externí odkaz:
http://arxiv.org/abs/1811.01235