| Perspective—combining physics and machine learning to predict battery lifetime M Aykol, CB Gopal, A Anapolsky, PK Herring, B van Vlijmen, MD Berliner, ... Journal of The Electrochemical Society 168 (3), 030525, 2021 | 151 | 2021 |
| Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols B Jiang, WE Gent, F Mohr, S Das, MD Berliner, M Forsuelo, H Zhao, ... Joule 5 (12), 3187-3203, 2021 | 62 | 2021 |
| Fast charging design for Lithium-ion batteries via Bayesian optimization B Jiang, MD Berliner, K Lai, PA Asinger, H Zhao, PK Herring, MZ Bazant, ... Applied Energy 307, 118244, 2022 | 47 | 2022 |
| Methods—PETLION: Open-Source Software for Millisecond-Scale Porous Electrode Theory-Based Lithium-Ion Battery Simulations MD Berliner, D Cogswell, MZ Bazant, RD Braatz Journal of The Electrochemical Society 168 (9), 090504, 2021 | 40 | 2021 |
| Nonlinear Identifiability Analysis of the Porous Electrode Theory Model of Lithium-Ion Batteries MD Berliner, H Zhao, S Das, M Forsuelo, B Jiang, W Chueh, MZ Bazant, ... Journal of The Electrochemical Society 168 (9), 090546, 2021 | 29 | 2021 |
| Electrochemical kinetics of lithium plating and stripping in solid polymer electrolytes: Pulsed voltammetry MD Berliner, BC McGill, M Majeed, DT Hallinan Journal of the Electrochemical Society 166 (2), A297, 2019 | 19 | 2019 |
| Efficient computation of safe, fast charging protocols for multiphase lithium-ion batteries: A lithium iron phosphate case study G Galuppini, MD Berliner, H Lian, D Zhuang, MZ Bazant, RD Braatz Journal of Power Sources 580, 233272, 2023 | 10 | 2023 |
| Fast Charging of Lithium-ion Batteries by Mathematical Reformulation as Mixed Continuous-Discrete Simulation MD Berliner, B Jiang, DA Cogswell, MZ Bazant, RD Braatz 2022 American Control Conference (ACC), 5265-5270, 2022 | 9 | 2022 |
| Novel Operating Modes for the Charging of Lithium-ion Batteries MD Berliner, B Jiang, D Cogswell, MZ Bazant, RD Braatz Journal of The Electrochemical Society 169, 100546, 2022 | 8 | 2022 |
| Nonlinear identifiability analysis of Multiphase Porous Electrode Theory-based battery models: A Lithium Iron Phosphate case study G Galuppini, MD Berliner, DA Cogswell, D Zhuang, MZ Bazant, RD Braatz Journal of Power Sources 573, 233009, 2023 | 7 | 2023 |
| Necessary optimality conditions for fast lithium-ion battery charging via hybrid simulations J Matschek, MD Berliner, A Himmel, RD Braatz, R Findeisen 2023 American Control Conference (ACC), 3783-3789, 2023 | 2 | 2023 |
| A mixed continuous-discrete approach to fast charging of li-ion batteries while maximizing lifetime MD Berliner, DA Cogswell, MZ Bazant, RD Braatz IFAC-PapersOnLine 55 (30), 305-310, 2022 | 2 | 2022 |
| Efficient computation of robust, safe, fast charging protocols for lithium-ion batteries G Galuppini, MD Berliner, H Lian, D Zhuang, MZ Bazant, RD Braatz Control Engineering Practice 145, 105856, 2024 | 1 | 2024 |
| Simulating, Controlling, and Understanding Lithium-ion Battery Models MD Berliner Massachusetts Institute of Technology, 2023 | 1 | 2023 |
| Electrochemical Kinetics in Solid Battery Electrolytes DT Hallinan Jr, M Majeed, K Kim, M Berliner Electrochemical Society Meeting Abstracts 236, 640-640, 2019 | | 2019 |
| Electrochemical Kinetics in Solid Electrolytes for Lithium Metal Batteries D Hallinan, M Berliner, B McGill, A Rausch 2018 AIChE Annual Meeting, 2018 | | 2018 |
| Reaction Kinetics of Lithium Electrodes with Solid Polymer Electrolytes MD Berliner | | 2018 |
| Nonlinear Local Identifiability Analysis of Multiphase Porous Electrode Theory-Based Battery Models: A Lithium Iron Phosphate Case Study G Galuppini, MD Berliner, DA Cogswell, D Zhuang, MZ Bazant, RD Braatz Available at SSRN 4335896, 0 | | |
| REACTION KINETICS IN SOLID LITHIUM POLYMER ELECTROLYTES B McGill, MD Berliner, D Hallinan Jr | | |
Richard D. BraatzEdwin R. Gilliland Professor, Massachusetts Institute of TechnologyVerified email at mit.edu
