Publications

Arcadia, E. Kennedy, J. Geiser, A. Dombroski, K. Oakley, S. L. Chen, L. Sprague, M. Ozmen, J. Sello, P. Weber, S. Reda, C. Rose, E. Kim, B. Rubenstein, and J. Rosenstein. “Multicomponent Molecular Memory.” Nature Communications. 11, 691 (2020). https://www.nature.com/articles/s41467-020-14455-1

J. Rosenstein, C. Rose, S. Reda, P. Weber, E. Kim, J. Sello, J. Geiser, E. Kennedy, C. Arcadia, A. Dombroski, K. Oakley, S. L. Chen, H. Tann, and B. Rubenstein. “Principles of Information Storage in Small-Molecule Mixtures.” IEEE Transactions on Nanobioscience. 19 (3), 378-384 (2020). https://ieeexplore.ieee.org/document/9018156

B. Foulon, Y. Liu, J. Rosenstein, and B. Rubenstein. “A Language for Molecular Computation.” Chem. 5(12), 3017-3019 (2019). https://www.cell.com/chem/pdf/S2451-9294(19)30517-0.pdf

Kennedy, C. Arcadia, J. Geiser, P. Weber, C. Rose, B. Rubenstein, and J. Rosenstein. “Encoding Information in Synthetic Metabolomes.” PLoS ONE 14(7): e0217364 (2019). https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0217364

C. Arcadia, H. Tann, A. Dombroski, K. Ferguson, S. L. Chen, E. Kim, C. Rose, B. Rubenstein, S. Reda, and J. Rosenstein. “Parallelized Linear Classification with Volumetric Chemical Perceptrons.” IEEE Conference on Rebooting Computing, November 2018. https://ieeexplore.ieee.org/document/8638627

C. Rose, S. Reda, B. Rubenstein, and J. Rosenstein. “Computing with Chemicals: Perceptrons Using Mixtures of Small Molecules.” IEEE International Symposium on Information Theory (ISIT), February 2018.