Work

Uncertain lithium-ion cathode kinetic decomposition modeling via Bayesian chemical reaction neural networks

Year: 2024

Type: article

Source: Proceedings of the Combustion Institute

DOI: 10.1016/j.proci.2024.105243

Authors: Benjamin C. Koenig, Huaibo Chen, Qiaofeng Li, Peng Zhao, Sili Deng

Institutions: Massachusetts Institute of Technology, University of Tennessee at Knoxville

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: bronze

Funder: National Science Foundation

Awards: CAREER: Efficient Uncertainty Quantification in Turbulent Combustion Simulations: Theory, Algorithms, and Computations, Graduate Research Fellowship Program (GRFP)

OpenAlex ID: W4399943513

FWCI: 1.62

Cites: 42

Cited by: 15

Related to: 10