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▶ 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
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Quantitative AFM Nanomechanics Data for Machine Learning and Materials Development
Towards the Quantitative Mapping of the Mechanical Properties of Materials Using Unsupervised Data Clustering Methods
Q&A
▶ 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
Q&A
Featured Products and Technology
AFMs for Materials
Bruker's materials research atomic force microscopes, powered exclusively by PeakForce Tapping® technology, are helping researchers advance new nanomechanical, nanoelectrical, and nanoelectrochemical research, on the order of three peer-reviewed published articles per day.
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AFM Modes
AFM modes and the broad capabilities from AFM beyond imaging
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Polymers
Nanoscale imaging of polymers structure and morphology
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