FAIR-DI e.V.
FAIRmat
NOMAD Laboratory
NOMAD CoE

Lecture materials of the On-line course on Big Data and Artificial Intelligence in Materials Sciences

Lecture 1
Nov. 5, 2020

Matthias Scheffler General Introduction to big-data-driven materials science Part 1 PDF | Video
Part 2 PDF | Video

Lecture 2
Nov. 12, 2020

Claudia Draxl NOMAD Repository, Archive, Encyclopedia PDF | Video

Lecture 3
Nov. 19, 2020

Luca Ghiringhelli  Introduction to artificial intelligence and machine-learning methods

Part 1 PDF | Video
Part 2 PDF | Video

Lecture 4

Nov. 26, 2020

Luca Ghiringhelli Compressed sensing meets symbolic regression: SISSO

Part 1 PDF | Video
Part 2 PDF | Video

Lecture 5

Dec. 3, 2020

Daniel Speckhard Decision trees and random forests

Whiteboard
Notes
Part 1 | Video
Part 2 | Video

Lecture 6
Dec. 10, 2020
Santiago Rigamonti Regularized Regression and kernel methods

Part 1 | Video
Part 2 | Video

Lecture 7
Dec. 17, 2020
Luigi Sbailò  Unsupervised learning

Part 1 PDF | Video
Part 2 PDF | Video
Notebook

Lecture 8
Jan. 7, 2021
Angelo Ziletti  
Artificial Neural Networks and Deep Learning - Part 1

PDF | Video

Lecture 9
Jan. 14, 2021
Angelo Ziletti Artificial Neural Networks and Deep Learning - Part 2

PDF | Video

Lecture 10
Jan. 21, 2021
Claudia Draxl Materials data, 4V, FAIR principles

PDF | Video

Lecture 11
Jan. 28, 2021 

Matthias Scheffler Subgroup discovery, rare-phenomena challenge, and domain of applicability

Part 1 PDF | Video
Part 2 PDF | Video
More information

Lecture 12
Feb. 4, 2021 

Jilles Vreeken  Interpretability and Causality

PDF | Video
recommended literature

 

Lecture 13
February 11, 2021

Rampi Ramprasad Applications in real materials

Video

 
Lecture 14
February 18, 2021

Christoph T. Koch AI in experiment

Video

Lecture 15
February 25, 2021

Lucas Foppa  
Fusion of experimental and computational data by AI

Video