▶ Watch On-Demand | 1 Hr 15 Minutes

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
▶ Watch Recording | 26 Minutes

Quantitative AFM Nanomechanics Data for Machine Learning and Materials Development

Presented by Bede Pittenger, Ph.D., Sr. Staff Scientist AFM Applications, Bruker Nano Surfaces (March 16, 2021)
▶ Watch Recording | 27 Minutes

Towards the Quantitative Mapping of the Mechanical Properties of Materials Using Unsupervised Data Clustering Methods

Presented Philippe Leclere, Ph.d., Associate Professor, University of Mons (March 16, 2021)
▶ Watch Recording | 17 Minutes

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