电催化CO2还原机理研究 | Electrocatalytic CO2 Reduction Mechanism Study
利用密度泛函理论（DFT）计算研究电催化CO2还原反应的机理，旨在设计高效的催化剂。 Using density functional theory (DFT) calculations to study the mechanism of electrocatalytic CO2 reduction reactions, aiming to design efficient catalysts.
Mar 15, 2024
光催化水分解催化剂设计 | Photocatalytic Water Splitting Catalyst Design
基于机器学习和高通量计算设计新型光催化水分解催化剂。 Design of novel photocatalytic water splitting catalysts based on machine learning and high-throughput calculations.
Jan 20, 2024
电化学传感器材料开发 | Electrochemical Sensor Materials Development
开发基于纳米材料的高灵敏度电化学传感器用于环境监测。 Development of highly sensitive electrochemical sensors based on nanomaterials for environmental monitoring.
Nov 10, 2023