| DNA triangles and self-assembled hexagonal tilings N Chelyapov, Y Brun, M Gopalkrishnan, D Reishus, B Shaw, L Adleman Journal of the American Chemical Society 126 (43), 13924-13925, 2004 | 161 | 2004 |
| A geometric approach to the global attractor conjecture M Gopalkrishnan, E Miller, A Shiu SIAM Journal on Applied Dynamical Systems 13 (2), 758-797, 2014 | 118 | 2014 |
| Tapestry: A single-round smart pooling technique for COVID-19 testing S Ghosh, A Rajwade, S Krishna, N Gopalkrishnan, TE Schaus, ... MedRxiv, 2020.04. 23.20077727, 2020 | 74 | 2020 |
| Lyapunov functions, stationary distributions, and non-equilibrium potential for reaction networks DF Anderson, G Craciun, M Gopalkrishnan, C Wiuf Bulletin of mathematical biology 77, 1744-1767, 2015 | 70 | 2015 |
| A compressed sensing approach to pooled RT-PCR testing for COVID-19 detection S Ghosh, R Agarwal, MA Rehan, S Pathak, P Agarwal, Y Gupta, S Consul, ... IEEE Open Journal of Signal Processing 2, 248-264, 2021 | 49 | 2021 |
| Chemical boltzmann machines W Poole, A Ortiz-Munoz, A Behera, NS Jones, TE Ouldridge, E Winfree, ... DNA Computing and Molecular Programming: 23rd International Conference, DNA …, 2017 | 43 | 2017 |
| A compressed sensing approach to group-testing for COVID-19 detection S Ghosh, R Agarwal, MA Rehan, S Pathak, P Agrawal, Y Gupta, S Consul, ... arXiv preprint arXiv:2005.07895, 2020 | 34 | 2020 |
| Catalysis in reaction networks M Gopalkrishnan Bulletin of Mathematical Biology 73 (12), 2962--2982, 2010 | 30 | 2010 |
| On the mathematics of the law of mass action L Adleman, M Gopalkrishnan, MD Huang, P Moisset, D Reishus A Systems Theoretic Approach to Systems and Synthetic Biology I: Models and …, 2014 | 26 | 2014 |
| Autocatalysis in reaction networks A Deshpande, M Gopalkrishnan Bulletin of mathematical biology 76, 2570-2595, 2014 | 19 | 2014 |
| A stochastic molecular scheme for an artificial cell to infer its environment from partial observations MV Virinchi, A Behera, M Gopalkrishnan DNA Computing and Molecular Programming: 23rd International Conference, DNA …, 2017 | 16 | 2017 |
| A scheme for molecular computation of maximum likelihood estimators for log-linear models M Gopalkrishnan DNA Computing and Molecular Programming: 22nd International Conference, DNA …, 2016 | 16 | 2016 |
| Designing the optimal bit: balancing energetic cost, speed and reliability A Deshpande, M Gopalkrishnan, TE Ouldridge, NS Jones Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017 | 14 | 2017 |
| Building blocks for DNA self-assembly Y Brun, M Gopalkrishnan, D Reishus, B Shaw, N Chelyapov, L Adleman Proceedings of the 1st Foundations of Nanoscience: Self-Assembled …, 2004 | 14 | 2004 |
| Pooling samples to increase SARS-CoV-2 testing M Gopalkrishnan, S Krishna Journal of the Indian Institute of Science 100, 787-792, 2020 | 12 | 2020 |
| A reaction network scheme which implements the EM algorithm M Viswa Virinchi, A Behera, M Gopalkrishnan DNA Computing and Molecular Programming: 24th International Conference, DNA …, 2018 | 11 | 2018 |
| The hot bit I: the Szilard-Landauer correspondence M Gopalkrishnan arXiv preprint arXiv:1311.3533, 2013 | 11 | 2013 |
| A projection argument for differential inclusions, with applications to persistence of mass-action kinetics M Gopalkrishnan, E Miller, A Shiu SIGMA. Symmetry, Integrability and Geometry: Methods and Applications 9, 025, 2013 | 10 | 2013 |
| Active inference for stochastic control A Paul, N Sajid, M Gopalkrishnan, A Razi Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 8 | 2021 |
| On the Lyapunov function for complex-balanced mass-action systems M Gopalkrishnan 21st international symposium on the mathematical theory of networks and systems, 2013 | 7 | 2013 |
Dustin ReishusUniversity of Colorado at BoulderVerified email at colorado.edu
