4 papers
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Marko Vasic, Cameron Chalk, Sarfraz Khurshid +1
Embedding computation in molecular contexts incompatible with traditional electronics is expected to have wide ranging impact in synthetic biology, medicine, nanofabrication and ot…
Composable Rate-Independent Computation in Continuous Chemical Reaction Networks
Cameron Chalk, Niels Kornerup, Wyatt Reeves +1
Biological regulatory networks depend upon chemical interactions to process information. Engineering such molecular computing systems is a major challenge for synthetic biology and…
Programming Substrate-Independent Kinetic Barriers with Thermodynamic Binding Networks
Keenan Breik, Cameron Chalk, David Doty +2
Engineering molecular systems that exhibit complex behavior requires the design of kinetic barriers. For example, an effective catalytic pathway must have a large barrier when the…
Thermodynamically Favorable Computation via Tile Self-assembly
Cameron Chalk, Jacob Hendricks, Matthew J. Patitz +1
The recently introduced Thermodynamic Binding Networks (TBN) model was developed with the purpose of studying self-assembling systems by focusing on their thermodynamically favorab…