Concepedia

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

Benben Jiang, William E. Gent, Fabian Mohr, Supratim Das, Marc D. Berliner, Michael Forsuelo, Hongbo Zhao, Peter M. Attia, Aditya Grover, Patrick K. Herring,

Joule · 2021 · 121 citations · 41 references

Open access

Concepts

ComputingComputer ScienceMaterials ScienceBayesian Data AnalysisMachine LearningStatistical LearningBattery MaterialsBattery SystemsBattery TechnologyBayesian InferenceBayesian Model BuildingProbabilistic Machine LearningBattery Degradation ModelingBattery ModelingBattery PrognosticsLithium-ion Battery ChemistryLithium-ion Battery State Of Charge EstimationLithium-ion Battery SystemsModel-based State Of Charge Estimation

References

41

Electrical Energy Storage for the Grid: A Battery of Choices

Bruce Dunn, Haresh Kamath, Jean‐Marie Tarascon · Science · 2011 · 14.7K citations

Engineering, Chemical Engineering, Electrical Engineering +17

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

Anubhav Jain, Shyue Ping Ong, Geoffroy Hautier et al. · APL Materials · 2013 · 12.7K citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Challenges for Rechargeable Li Batteries

John B. Goodenough, Youngsik Kim · Chemistry of Materials · 2009 · 10.8K citations

Natural Sciences, Materials Engineering, Materials Science +10

Performance and cost of materials for lithium-based rechargeable automotive batteries

Richard Schmuch, Ralf Wagner, Gerhard Hörpel et al. · Nature Energy · 2018 · 3.2K citations

Natural Sciences, Materials Engineering, Materials Science +12

Human-level concept learning through probabilistic program induction

Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum · Science · 2015 · 2.9K citations

Computing, Computer Science, Artificial Intelligence +16