Kehao Tao
Shanghai Jiao Tong University(CN)Micro & Nano Research Institute(CN)
Publications by Year
Research Areas
Advanced Battery Materials and Technologies, Advancements in Battery Materials, Machine Learning in Materials Science, Supercapacitor Materials and Fabrication, Fuel Cells and Related Materials
Most-Cited Works
- → High-Entropy Alloy Electrocatalysts Bidirectionally Promote Lithium Polysulfide Conversions for Long-Cycle-Life Lithium–Sulfur Batteries(2024)77 cited
- → MatGPT: A Vane of Materials Informatics from Past, Present, to Future(2023)64 cited
- → Machine learning-based design of electrocatalytic materials towards high-energy lithium||sulfur batteries development(2024)62 cited
- → AlphaMat: a material informatics hub connecting data, features, models and applications(2023)44 cited
- → Long‐Cycling‐Life Sodium‐Ion Battery Using Binary Metal Sulfide Hybrid Nanocages as Anode(2023)41 cited
- → Variable and intelligent catalyst design based on local chemical environments in sulfur redox reactions(2025)28 cited
- → Rapid discovery of inorganic-organic solid composite electrolytes by unsupervised learning(2022)25 cited
- → Data-driven exploration of weak coordination microenvironment in solid-state electrolyte for safe and energy-dense batteries(2025)24 cited
- → IonML: A physically inspired machine learning platform to directed design superionic conductors(2023)16 cited
- → Machine Learning for Design and Full Chain Research of High‐Entropy Na‐Ion Cathodes(2025)14 cited