Hongwei Du

Hongwei Du · focus on the field of multiscale computation and materials science · is currently a Researcher at Zhongguan Academy / Zhongguancun Institute of Artificial Intelligence. My research focuses on the integration of multiscale computational methods · design of materials spectral models · material representation strategies · materials database construction · and machine learning-based prediction methods for SOC/SOH. I have extensive experience in deep learning model development and high-throughput screening and design of inorganic solid-state electrolyte materials. My representative achievements include developing the composition-based L-G-DCNN and structure-based DenseGNN models for property prediction in crystals and molecules · uncovering critical factors influencing crystal structure graph representations · and establishing a composition-structure-dynamics collaborative machine learning strategy to accelerate new materials discovery. Previously · I worked on BMS algorithm development and battery material modification research · which has given me a cross-disciplinary background spanning engineering applications to fundamental scientific research. I am committed to advancing the deep integration of artificial intelligence and materials science.