Area of research
Automotive Engineering · Electrical and Electronic Engineering
Research interest
Research focused on Lithium (medication) and Transformer, with related work in Ion, Proton exchange membrane fuel cell, Ammonia. Notable publications include 'Collaborative framework of Transformer and LSTM for enhanced state-of-charge estimation in lithium-ion batteries', 'Recent progress of Pt‐based oxygen reduction reaction catalysts for proton exchange membrane fuel cells', and 'A Fast Forward Prediction Framework for Energy Materials Design Based on Machine Learning Methods'.
Collaborative framework of Transformer and LSTM for enhanced state-of-charge estimation in lithium-ion batteries
Accurate estimation of state of health for lithium-ion batteries based on Pyraformer and TimeGAN data augmentation
Recent progress of Pt‐based oxygen reduction reaction catalysts for proton exchange membrane fuel cells
A Fast Forward Prediction Framework for Energy Materials Design Based on Machine Learning Methods
Ammonia Fuel: A Pathway for Carbon-Neutral of the Transportation Sector