Recovering Molecular Heterogeneity using Molecular Simulation, Electron Microscopy, and Machine Learning
Join Erik Thiede, Assistant Professor of Chemistry at Cornell, will explore how researchers are combining molecular simulation, machine learning, and electron microscopy to better understand structural heterogeneity in complex chemical systems. The talk will highlight new algorithms that integrate computational models with experimental imaging to uncover hidden states in biomolecules and materials—helping bridge the gap between design and function at the nanoscale.