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Michael Forsuelo
Michael Forsuelo
Massachusetts Institute of Technology; University of California, Berkeley
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
622021
Predicting infrared spectra with message passing neural networks
C McGill, M Forsuelo, Y Guan, WH Green
Journal of Chemical Information and Modeling 61 (6), 2594-2609, 2021
452021
Nonlinear identifiability analysis of the porous electrode theory model of lithium-ion batteries
MD Berliner, H Zhao, S Das, M Forsuelo, B Jiang, WH Chueh, MZ Bazant, ...
Journal of The Electrochemical Society 168 (9), 090546, 2021
282021
Coherent and incoherent contributions to charge separation in multichromophore systems
AA Kocherzhenko, D Lee, MA Forsuelo, KB Whaley
The Journal of Physical Chemistry C 119 (14), 7590-7603, 2015
282015
Higher-energy charge transfer states facilitate charge separation in donor–acceptor molecular dyads
D Lee, MA Forsuelo, AA Kocherzhenko, KB Whaley
The Journal of Physical Chemistry C 121 (24), 13043-13051, 2017
142017
Detailed Multiphase Chemical Kinetic Model for Polymer Fouling in a Distillation Column
HW Pang, M Forsuelo, X Dong, RE Hawtof, DS Ranasinghe, WH Green
Industrial & Engineering Chemistry Research 62 (36), 14266-14285, 2023
42023
Lifetime prediction for lithium-ion batteries undergoing fast charging protocols
M Forsuelo
Massachusetts Institute of Technology, 2019
32019
A Railgun Secondary Propulsion System for High-Speed Hyperloop Transportation
AE Siemenn, B Deo, F Ng, J Zhou, C Owens, SU Atue, M Forsuelo
IEEE Transactions on Plasma Science 51 (1), 243-248, 2023
22023
Systems and methods for predicting the cycle life of cycling protocols
RD Braatz, B Jiang, F Mohr, M Forsuelo, WE Gent, PK Herring, WC Chueh, ...
US Patent 11,614,491, 2023
2023
Investigating Effectiveness of Diethylhydroxylamine (DEHA) As Inhibitor for Oxygen-Involved Polymer Fouling Using Automatically Generated Multi-Phase Kinetics Model
HW Pang, M Forsuelo, X Dong, R Hawtof, W Green
2022 AIChE Annual Meeting, 2022
2022
Investigations into Message Passing Neural Networks and Polymer Fouling
M Forsuelo
Massachusetts Institute of Technology, 2022
2022
Message Passing Neural Networks for Prediction of IR Spectra
CJ McGill, M Forsuelo, Y Guan, W Green
2021 AIChE Annual Meeting, 2021
2021
Theory of Formation Cycling of Graphite By Understanding Primary and Secondary SEI
S Das, M Forsuelo, D Zhuang, R Braatz, WC Chueh, M Bazant
Electrochemical Society Meeting Abstracts 240, 415-415, 2021
2021
A Molecular Model for Reactive Fouling in Steam-Cracker Separation Trains
M Forsuelo, HW Pang, D Ranasinghe, W Green
2020 Virtual AIChE Annual Meeting, 2020
2020
Infrared Spectra Prediction with Machine Learning
CJ McGill, Y Guan, M Forsuelo, W Green
2020 Virtual AIChE Annual Meeting, 2020
2020
Electrochemical kinetics of SEI growth in porous electrodes
S Das, M Forsuelo, M Bazant
APS March Meeting Abstracts 2019, T70. 067, 2019
2019
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