Machine Learning Approaches for Biomolecular and Biophysical Research - Class 2

In this second lecture of the ICTP-SAIFR School on Biological Physics and Biomolecular Simulations in the Machine Learning Era, Professor Oliver Lieleg from Technical University of Munich, Germany continues his exploration of machine learning approaches for biomolecular and biophysical research. Delve into advanced concepts building upon the foundations established in the first class, examining how machine learning techniques can be applied to solve complex problems in biological physics and molecular simulations. The 71-minute session is part of the comprehensive program scheduled for April 14-19, 2025, designed for researchers and students interested in the intersection of machine learning with biological systems and biophysical phenomena.