Publications

You can also find my articles on my Google Scholar profile.

Publications

  • C. Dai, Z. Xu, H. Luo, T. Zhou, Y. Shao, T. Wu, L. Xie & Q. Feng. (2026). Nanoporous materials for isovalent ion separation: Confined transport, chemical recognition and data-guided design. Science China Materials (2nd revision). [SCI Top / JCR Q1]
  • C. Cao, X. Zhuang, L. Cao, Y. Shao, Y. Zhao & X. Zhang. (2026). Recent Advances in Biochar for CO2 Capture: Structural Characteristics, Modification Strategies and Influencing Factors. Water, Air, & Soil Pollution. (2nd revision) [SCI / JCR Q2]
  • Y. Shao, X. Zhang, S. Wang, Y. Zhao, C. Cao & B. Gao. (2026). Machine Learning-Driven Design of Amino-Functionalized Biochar/Pebax Mixed Matrix Membranes for Optimal CO2 Separation. Journal of Membrane Science. (Under review) [SCI Top / JCR Q1]
  • Y. Shao, X. Wu, Y. Gao, Z. Zhou, H. Fei, J. Chang & S. Cui. (2026). A Domain-Adaptive Physics-Augmented Long Short-Term Memory Framework for Extreme Few-Shot Battery Degradation Prediction. Journal of The Electrochemical Society. (Under review) [SCI / JCR Q2]
  • Y. Shao, S. Cui, Y. Gao & S. Sang. (2026). BattField-LLM: An Evidence-Grounded Small Language Model for Structured Extraction of Lithium-Ion and Sodium-Ion Battery Data. Journal of Chemical Information and Modeling. (With Editor) [SCI Top / JCR Q1]
  • S. Cui, Y. Shao (Co-first author), Y. Gao, Y. Yang, S. Liu & Z. Xu. (2026). Adaptive-Gated Ensemble Learning for Lithium-Ion Battery State-of-Health Prediction. Journal of Power Sources (With Editor). [SCI / JCR Q1]
  • Y. Luo, Y. Shao, B. Zhang, K. Liu, S. Liu, Z. Yuan & S. Sang. (2025). Forecasting China's Nuclear Power Generation to 2030: An ARIMA Model-Based Trend Analysis. Engineering Frontiers, 1(1), 3. [Journal]