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In the News:

Multi-university effort will advance materials, define the future of mobility
- MIT News Office

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May 2022
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Software

R. B. Smith, E. Khoo, D. A. Cogswell, Mulitphase porous electrode theory (MPET) (Massachusetts Institute of Technology, 2017); https://bitbucket.org/bazantgroup/mpet).

Data-driven prediction of battery cycle life before capacity degradation (2019), (available at https://data.matr.io/1/projects/5c48dd2bc625d700019f3204).

Closed-loop optimization of extreme fast charging for batteries using machine learning (2019), (available at https://data.matr.io/1/projects/5d80e633f405260001c0b60a).

Battery estimation and early prediction (BEEP) (Toyota Research Institute – Accelerated Materials Design & Discovery, 2020; https://github.com/TRI-AMDD/beep).

M. D. Berliner, R. D. Braatz. PETLION, (2021); https://github.com/MarcBerliner/PETLION.jl.