Quantitative AFM Nanomechanics Data for Machine Learning and Materials Development
Explore new modes for AFM-based, machine learning (ML) augmented research on advanced materials with specific functions and desired properties
Presented by Bede Pittenger, Ph.D., Bruker Nano Surfaces Sr. Staff Scientist, AFM Applications , and Prof. Dr. Philippe Leclere, Associate Professor, University of Mons (March 16, 2021)
