Deep Learning applied to microstructure analysis. Performances and limitations.
44:27
Kinetics approach to understand “martensitic” transformations in steel.
1:04:47
A partial overview on the crystallography of martensitic transformations and twinning.
16:30
All Machine Learning algorithms explained in 17 min
56:19
MIT 6.S191: Deep Generative Modeling
1:09:58
MIT Introduction to Deep Learning | 6.S191
1:26:03
UCSC Seminar - Reverse Engineering the Brain by Randal Koene
54:04
Grain-size dependence of mechanical properties in single-phase metals and near-μm average grain size
20:18