Skip to main content

previous disabled Page of 2
and
  1. No Access

    Chapter and Conference Paper

    Complexity of Self-assembled Shapes

    The connection between self-assembly and computation suggests that a shape can be considered the output of a self-assembly “program,” a set of tiles that fit together to create a shape. It seems plausible that...

    David Soloveichik, Erik Winfree in DNA Computing (2005)

  2. No Access

    Chapter and Conference Paper

    Complexity of Compact Proofreading for Self-assembled Patterns

    Fault-tolerance is a critical issue for biochemical computation. Recent theoretical work on algorithmic self-assembly has shown that error correcting tile sets are possible, and that they can achieve exponenti...

    David Soloveichik, Erik Winfree in DNA Computing (2006)

  3. No Access

    Article

    Combining self-healing and proofreading in self-assembly

    Molecular self-assembly is a promising approach to bottom-up fabrication of complex structures. A major impediment to the practical use of self-assembly to create complex structures is the high rate of error u...

    David Soloveichik, Matthew Cook, Erik Winfree in Natural Computing (2008)

  4. No Access

    Article

    Computation with finite stochastic chemical reaction networks

    A highly desired part of the synthetic biology toolbox is an embedded chemical microcontroller, capable of autonomously following a logic program specified by a set of instructions, and interacting with its ce...

    David Soloveichik, Matthew Cook, Erik Winfree, Jehoshua Bruck in Natural Computing (2008)

  5. No Access

    Chapter and Conference Paper

    DNA as a Universal Substrate for Chemical Kinetics

    We show that a DNA-based chemical system can be constructed such that it closely approximates the dynamic behavior of an arbitrary system of coupled chemical reactions. Using strand displacement reactions as a...

    David Soloveichik, Georg Seelig, Erik Winfree in DNA Computing (2009)

  6. No Access

    Chapter and Conference Paper

    Time-Complexity of Multilayered DNA Strand Displacement Circuits

    Recently we have shown how molecular logic circuits with many components arranged in multiple layers can be built using DNA strand displacement reactions. The potential applications of this and similar technol...

    Georg Seelig, David Soloveichik in DNA Computing and Molecular Programming (2009)

  7. No Access

    Chapter

    Programmability of Chemical Reaction Networks

    Motivated by the intriguing complexity of biochemical circuitry within individual cells we study Stochastic Chemical Reaction Networks (SCRNs), a formal model that considers a set of chemical reactions acting ...

    Matthew Cook, David Soloveichik, Erik Winfree, Jehoshua Bruck in Algorithmic Bioprocesses (2009)

  8. No Access

    Chapter and Conference Paper

    Efficient Turing-Universal Computation with DNA Polymers

    Bennett’s proposed chemical Turing machine is one of the most important thought experiments in the study of the thermodynamics of computation. Yet the sophistication of molecular engineering required to physic...

    Lulu Qian, David Soloveichik, Erik Winfree in DNA Computing and Molecular Programming (2011)

  9. No Access

    Chapter and Conference Paper

    Deterministic Function Computation with Chemical Reaction Networks

    Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. CRNs are widely used to describe information processing occurring in natural cellular regulatory networks, and with upcoming...

    Ho-Lin Chen, David Doty, David Soloveichik in DNA Computing and Molecular Programming (2012)

  10. No Access

    Book and Conference Proceedings

    DNA Computing and Molecular Programming

    19th International Conference, DNA 19, Tempe, AZ, USA, September 22-27, 2013. Proceedings

    David Soloveichik, Bernard Yurke in Lecture Notes in Computer Science (2013)

  11. Chapter and Conference Paper

    Erratum to: DNA Computing and Molecular Programming

    Erratum to: D. Soloveichik and B. Yurke (Eds.) DNA Computing and Molecular Programming DOI: 10.1007/978-3-319-01928-4

    David Soloveichik, Bernard Yurke in DNA Computing and Molecular Programming (2013)

  12. No Access

    Article

    Programmable chemical controllers made from DNA

    Biological organisms use complex molecular networks to navigate their environment and regulate their internal state. The development of synthetic systems with similar capabilities could lead to applications su...

    Yuan-Jyue Chen, Neil Dalchau, Niranjan Srinivas, Andrew Phillips in Nature Nanotechnology (2013)

  13. No Access

    Chapter and Conference Paper

    Probability 1 Computation with Chemical Reaction Networks

    The computational power of stochastic chemical reaction networks (CRNs) varies significantly with the output convention and whether or not error is permitted. Focusing on probability 1 computation, we demonstr...

    Rachel Cummings, David Doty, David Soloveichik in DNA Computing and Molecular Programming (2014)

  14. No Access

    Chapter and Conference Paper

    Speed Faults in Computation by Chemical Reaction Networks

    Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. Assuming a fixed molecular population size and bimolecular reactions, CRNs are formally equivalent to population protocols, ...

    Ho-Lin Chen, Rachel Cummings, David Doty, David Soloveichik in Distributed Computing (2014)

  15. No Access

    Article

    Deterministic function computation with chemical reaction networks

    Chemical reaction networks (CRNs) formally model chemistry in a well-mixed solution. CRNs are widely used to describe information processing occurring in natural cellular regulatory networks, and with upcoming...

    Ho-Lin Chen, David Doty, David Soloveichik in Natural Computing (2014)

  16. No Access

    Chapter and Conference Paper

    Leakless DNA Strand Displacement Systems

    While current experimental demonstrations have been limited to small computational tasks, DNA strand displacement systems (DSD systems) [25] hold promise for sophisticated information processing within chemical o...

    Chris Thachuk, Erik Winfree, David Soloveichik in DNA Computing and Molecular Programming (2015)

  17. No Access

    Chapter and Conference Paper

    Stable Leader Election in Population Protocols Requires Linear Time

    A population protocol stably elects a leader if, for all n, starting from an initial configuration with n agents each in an identical state, with probability 1 it reaches a configuration y that is correct (exactl...

    David Doty, David Soloveichik in Distributed Computing (2015)

  18. Article

    Preface

    David Soloveichik, Bernard Yurke in Natural Computing (2015)

  19. No Access

    Chapter and Conference Paper

    Robustness of Expressivity in Chemical Reaction Networks

    We show that some natural output conventions for error-free computation in chemical reaction networks (CRN) lead to a common level of computational expressivity. Our main results are that the standard definiti...

    Robert Brijder, David Doty, David Soloveichik in DNA Computing and Molecular Programming (2016)

  20. No Access

    Article

    Probability 1 computation with chemical reaction networks

    The computational power of stochastic chemical reaction networks (CRNs) varies significantly with the output convention and whether or not error is permitted. Focusing on probability 1 computation, we demonstr...

    Rachel Cummings, David Doty, David Soloveichik in Natural Computing (2016)

previous disabled Page of 2