Qingyu Yan

7 ta ish

Nanyang Technological University

1. Predicting the state of charge and health of batteries using data-driven machine learning

   Man‐Fai Ng, Jin Zhao, Qingyu Yan +2

   Maqola20204 iqtibos

   ABIABI:AkademIndex/2026.other.281041

2. Extraordinary role of Zn in enhancing thermoelectric performance of Ga-doped n-type PbTe

   Zhong‐Zhen Luo, Songting Cai, Shiqiang Hao +10

   MaqolaOAOchiq kirish20212 iqtibos

   ABIABI:AkademIndex/2026.other.056399

3. High‐Energy/Power and Low‐Temperature Cathode for Sodium‐Ion Batteries: In Situ XRD Study and Superior Full‐Cell Performance

   Jin‐Zhi Guo, Pengfei Wang, Xing‐Long Wu +5

   Maqola20172 iqtibos

   ABIABI:AkademIndex/2026.other.097262

4. Monodispersed Ag nanoparticles loaded on the PVP-assisted synthetic Bi2O2CO3 microspheres with enhanced photocatalytic and supercapacitive performances

   Shengjie Peng, Linlin Li, Huiteng Tan +8

   Maqola20132 iqtibos

   ABIABI:AkademIndex/2026.other.164890

5. Machine Learning: An Advanced Platform for Materials Development and State Prediction in Lithium‐Ion Batteries

   Chade Lv, Xin Zhou, Lixiang Zhong +8

   Sharh maqola20212 iqtibos

   ABIABI:AkademIndex/2026.other.275518

6. Defect engineering in thermoelectric materials: what have we learned?

   Yun Zheng, Tyler J. Slade, Lei Hu +6

   Sharh maqola20212 iqtibos

   ABIABI:AkademIndex/2026.other.289594

7. A general method for the large-scale synthesis of uniform ultrathin metal sulphide nanocrystals

   Yaping Du, Zongyou Yin, Jixin Zhu +5

   Maqola20122 iqtibos

   ABIABI:AkademIndex/2026.other.298757