Dr. Jianjun Hu of the Machine Learning and Evolutionary Laboratory (MLEG) has received a project award titled "Deep Learning Accelerated Inverse Design of Lab-Scale Energy Efficient Heterojunctions for Wide-Bandgap Devices" which is funded by National Science Foundation (NSF) with his collaborators from Department of Mechanical Engineering, USC including Prof. Ming Hu, Prof. Chen Li, Prof. Dongkyu Lee.

This work will extend the great success of deep learning in computer vision and natural language processing into data driven materials inverse design which may dramatically speed up conventional materials discovery processes.