Видео с ютуба Datascienceformaterials

I-AIM Seminar 1: Connecting data, algorithms and community in digital rock physics

I-AIM Seminar 3 (Gunnar Carlsson): Topological data analysis (TD) and applications

I-AIM Seminar 12 (Nicholas Kotov, U Michigan), Graph Theory Descriptors for Composites, May 28, 2021

I-AIM seminar 4 (Kathryn Hess): From trees to barcode and back again

I-AIM Seminar 6 (Wei Chen, NU), Data-Driven Design of Microstructural Material Systems, Feb 19, 2021

I-AIM Seminar 9 (Margaret Murnane, CU Boulder), Structure, Mechanics, Transport, April 16, 2021

I-AIM Seminar 14 (Michael Toney, CU Boulder), Data Challenges in X-ray Scattering, July 9, 2021

I-AIM Seminar 11 (John Miao, UCLA), Beyond Crystallography: CDI and AET, May 14, 2021

I-AIM Seminar 5 (Krishna Rajan) Dec18th

I-AIM Seminar 7 (Arun Kumar, UCSD), Cerebro, March 19, 2021

I-AIM Seminar 8 (Yannis Kevrekidis, JHU), Free Energy Surface Exploration, April 02, 2021

Correlation ≠ Accuracy — Understanding Objective Functions in Materials Data (XRD & Raman)

The Face of Nanomaterials: Insightful Classification Using Deep Learning - Angelo Ziletti

Making Data Accessible, Discoverable and Useful

Ruth Misener: Autonomous research machines: Self-optimising new chemistry

I-AIM Seminar 14 (Horacio Espinosa, Northwestern U), Machine Learning for Force Fields, Jun 25, 2021

Accelerating materials discovery and design using AI and Machine Learning

Hands-on Introduction to Data & Machine Learning in Science and Engineering