Parallelized Linear Classification with Volumetric Chemical Perceptrons. - Christopher E. Arcadia; Hokchhay Tann; Amanda Dombroski; Kady Ferguson; Shui Ling Chen; Eunsuk Kim; Christopher Rose; Brenda M. Rubenstein; Sherief Reda; Jacob K. Rosenstein (ICRC, 2018)

Computing with Chemicals: Perceptrons Using Mixtures of Small Molecules. - Christopher Rose; Sherief Reda; Brenda M. Rubenstein; Jacob K. Rosenstein (ISIT, 2018)

Principles of Information Storage in Small-Molecule Mixtures. - 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; et al. (CoRR, 2019)

Covalent docking and molecular dynamics simulations reveal the specificity-shifting mutations Ala237Arg and Ala237Lys in TEM beta-lactamase. - Gabriel Monteiro da Silva; Jordan Yang; Bunlong Leang; Jessie Huang; Daniel M. Weinreich; Brenda M. Rubenstein (PLoS Comput. Biol., 2022)

A topological data analytic approach for discovering biophysical signatures in protein dynamics. - Wai-Shing Tang; Gabriel Monteiro da Silva; Henry Kirveslahti; Erin Skeens; Bibo Feng; Timothy Sudijono; Kevin K. Yang; Sayan Mukherjee 001; Brenda M. Rubenstein; Lorin Crawford (PLoS Comput. Biol., 2022)

Is stochastic thermodynamics the key to understanding the energy costs of computation? - 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; et al. (CoRR, 2023)