Publications by authors named "Chuchuan Peng"

Article Synopsis
  • Machine learning (ML) in lithium battery research is emerging as a powerful tool for discovering new materials and optimizing battery performance, but its effectiveness is heavily reliant on the quality of the data used.
  • Data related to lithium batteries presents challenges such as diversity, complexity, and limited samples, necessitating improved strategies for data processing including classification, dimensionality reduction, and the use of domain knowledge.
  • The study not only explores these strategies to enhance ML reliability in lithium batteries but also suggests their applicability to related fields like electrocatalysis and electrochemical corrosion, indicating a broader impact on various scientific domains.
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