About the Symposium:
This symposium focuses on the recent development in computational molecular science as well as applications of machine learning methods in related fields. The topics covered include electronic structure theory, chemical dynamics, biological systems and materials as well as related developments of machine learning methods in these areas. The symposium aims to provide an advanced platform for exchange and collaboration among international and domestic scholars. The gathering of an outstanding group of scholars with expertise in related fields will help cultivate novel research ideas and develop new methodologies for the most challenging problems in these topics. The symposium will also provide excellent learning experiences for attending young scholars and students who are working in related areas. The symposium is sponsored by the NYU-ECNU Center for Computational Chemistry at NYU Shanghai and Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning at NYU Shanghai.
Symposium Website: https://