@article{Recognition:3567,
      recid = {3567},
      author = {O'Brien, Jackson Densborn},
      title = {Pattern Recognition through Molecular Computation},
      publisher = {University of Chicago},
      school = {Ph.D.},
      address = {2021-12},
      pages = {103},
      abstract = {Understanding the computational capacity of molecular  systems is important both for basic insights into  information processing in biological systems and the design  of synthetic nano/micro-scale technologies.  Here, we  design systems that, instead of mimicking conventional  engineered computational systems, exploit intrinsic  physical dynamics to carry out pattern recognition  autonomously. Using chemical reaction networks and  self-assembly of many heterogeneous species, we demonstrate  pattern recognition capabilities on pulsatile temporal  inputs and high-dimensional concentration patterns.  Throughout, we emphasize the ways in which our physical  mechanisms are naturally suited to the particular  computational challenges. This work not only provides  molecular computational solutions for concrete problems,  but also helps broaden the paradigm about how, when, and  where computation can occur in molecular systems. },
      url = {http://knowledge.uchicago.edu/record/3567},
      doi = {https://doi.org/10.6082/uchicago.3567},
}