Marc D. Berliner

Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime

Muratahan Aykol, Chirranjeevi Balaji Gopal, Abraham Anapolsky et al. · Journal of The Electrochemical Society · 2021 · 250 citations · Full text

Computing, Computer Science, Physics +17

Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols

Benben Jiang, William E. Gent, Fabian Mohr et al. · Joule · 2021 · 121 citations · Full text

Computing, Computer Science, Materials Science +16

Quasielastic Neutron Scattering Study of the Effect of Water-to-Cement Ratio on the Hydration Kinetics of Tricalcium Silicate

R. Berliner, M. Popovici, K. W. Herwig et al. · Cement and Concrete Research · 1998 · 112 citations

Natural Sciences, Materials Engineering, Materials Science +16

Fast charging design for Lithium-ion batteries via Bayesian optimization

Benben Jiang, Marc D. Berliner, Kun Lai et al. · Applied Energy · 2021 · 97 citations

Engineering, Chemical Engineering, Electrical Engineering +14

Methods—PETLION: Open-Source Software for Millisecond-Scale Porous Electrode Theory-Based Lithium-Ion Battery Simulations

Marc D. Berliner, Daniel A. Cogswell, Martin Z. Bazant et al. · Journal of The Electrochemical Society · 2021 · 60 citations · Full text

Engineering, Chemical Engineering, High-performance Computing +16