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Brenda M. Rubenstein
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2020 – today
- 2023
- [i3]David H. Wolpert, Jan Korbel, Christopher Lynn, Farita Tasnim, Joshua A. Grochow, Gülce Kardes, James B. Aimone
, Vijay Balasubramanian, Eric De Giuli, David Doty, Nahuel Freitas, Matteo Marsili, Thomas E. Ouldridge, Andréa W. Richa, Paul M. Riechers, Édgar Roldán, Brenda M. Rubenstein, Zoltán Toroczkai, Joseph A. Paradiso:
Is stochastic thermodynamics the key to understanding the energy costs of computation? CoRR abs/2311.17166 (2023) - 2022
- [j2]Wai-Shing Tang
A topological data analytic approach for discovering biophysical signatures in protein dynamics. PLoS Comput. Biol. 18(5) (2022) - [j1]Gabriel Monteiro da Silva
Covalent docking and molecular dynamics simulations reveal the specificity-shifting mutations Ala237Arg and Ala237Lys in TEM beta-lactamase. PLoS Comput. Biol. 18(6) (2022)
2010 – 2019
- 2019
- [i2]Jacob K. Rosenstein, Christopher Rose, Sherief Reda, Peter M. Weber, Eunsuk Kim, Jason Sello, Joseph Geiser, Eamonn Kennedy, Christopher E. Arcadia, Amanda Dombroski, Kady Oakley, Shui Ling Chen, Hokchhay Tann, Brenda M. Rubenstein:
Principles of Information Storage in Small-Molecule Mixtures. CoRR abs/1905.02187 (2019) - 2018
- [c2]Christopher E. Arcadia, Hokchhay Tann, Amanda Dombroski, Kady Ferguson, Shui Ling Chen, Eunsuk Kim, Christopher Rose, Brenda M. Rubenstein, Sherief Reda, Jacob K. Rosenstein:
Parallelized Linear Classification with Volumetric Chemical Perceptrons. ICRC 2018: 1-9 - [c1]Christopher Rose
Computing with Chemicals: Perceptrons Using Mixtures of Small Molecules. ISIT 2018: 2236-2240 - [i1]Christopher E. Arcadia, Hokchhay Tann, Amanda Dombroski, Kady Ferguson, Shui Ling Chen, Eunsuk Kim, Christopher Rose, Brenda M. Rubenstein, Sherief Reda, Jacob K. Rosenstein:
Parallelized Linear Classification with Volumetric Chemical Perceptrons. CoRR abs/1810.05214 (2018)
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