Ng, M.-F., Sun, Y., & Seh, Z. W. (2023). Machine learning-inspired battery material innovation. Energy Advances, 2(4), 449–464. https://doi.org/10.1039/d3ya00040k
Abstract:
Data-driven machine learning is a proven technique for battery material discovery and enables the development of sustainable next-generation batteries.
License type:
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Funding Info:
This research is supported by core funding from: SERC
Grant Reference no. : NA