AI4EPR is an interdisciplinary collaborative project aimed at enhancing the research level and application value of Electron Paramagnetic Resonance (EPR) spectroscopy through the use of artificial intelligence technologies. Electron Paramagnetic Resonance (EPR) spectroscopy is a crucial method for detecting the structure and dynamics of unpaired electrons in materials, and is widely applied in fields such as chemistry, physics, biology, and medicine. However, obtaining and analyzing EPR spectra face many challenges, such as low signal-to-noise ratios, multiple parameters, and complex models. Artificial Intelligence (AI) is a discipline that studies and implements intelligent behavior, with strong capabilities in data processing and knowledge acquisition, providing effective tools and methods for optimizing, fitting, interpreting, and predicting EPR spectra. This project aims to explore the application prospects and innovative directions of AI in the EPR field, to build a theoretical framework and technical platform for AI+EPR, and to promote the development and innovation of EPR.

Our team includes:

Dr. Shengchun Wang at University of Michigan

Shufei Zhang at Shanghai AI Lab

Prof. Jihu Su at University of Science and Technology of China

Dr. Yi Luo at Karlsruhe Institute of Technology

Prof. Aiwen Lei at Wuhan University