Associate Professor Ju Shenghong and Ph.D. student Huang Xiang represented the research group to attend the 6th Forum of Materials Genome Engineering.

Associate Professor Ju Shenghong won the second Prize of Hangzhou Qingshan Lake Material Genetic Engineering Young Scientist Award in 2022, and was invited to make an academic report entitled "Optimization and Design of ultimate thermal Conductivity Materials based on machine Learning", systematically introducing the research progress of the research team in the search of high-conductivity crystals and high-throughput polymers. The relevant research results can provide theoretical basis and guidance for the design and application of high thermal conductivity materials in the fields of electronic device heat dissipation and micro and nano energy devices.

The poster "Design of High thermal Conductivity Polymer Based on High throughput Computing and Explainable Machine Learning" by Huang Xiang, stood out from many wall posters and won the special prize of Hangzhou Qingshan Lake Graduate best poster.