ASC school 2022: Physics meets Artificial Intelligence

Details zu Tarek Eissa

Zugehörigkeit: Faculty of Physics, Ludwig Maximilian University Munich

Autor in folgendem Beitrag

• Limits and prospects of molecular fingerprinting revealed through in silico and predictive modeling