Data-driven prediction of battery cycle life before capacity degradation
2019 · Nature Energy · 2,568 citations
https://doi.org/10.1038/s41560-019-0356-8
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Richard D. Braatz
IIT@MIT(US)
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Richard D. Braatz is an academic researcher from IIT@MIT. The author has contributed to research in topics: Advanced Control Systems Optimization & Fault Detection and Control Systems & Control Systems and Identification. The author has an h-index of 86, co-authored 731 publications.
ORCID: 0000-0003-4304-3484Papers by this author
worksWater electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments
2022 · Chemical Society Reviews · 1,676 citations
https://doi.org/10.1039/d0cs01079k
Closed-loop optimization of fast-charging protocols for batteries with machine learning
2020 · Nature · 971 citations
https://doi.org/10.1038/s41586-020-1994-5
End‐to‐End Continuous Manufacturing of Pharmaceuticals: Integrated Synthesis, Purification, and Final Dosage Formation
2013 · Angewandte Chemie International Edition · 594 citations
https://doi.org/10.1002/anie.201305429
Fictitious phase separation in Li layered oxides driven by electro-autocatalysis
2021 · Nature Materials · 198 citations
https://doi.org/10.1038/s41563-021-00936-1
Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies
2021 · Molecular Therapy — Methods & Clinical Development · 166 citations
https://doi.org/10.1016/j.omtm.2021.02.010
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