The NOMAD team hosted NOMAD Summer, a Hands-on course on novel materials discovery, 25 - 29 Sept 2017 in Berlin, Germany.

     

 

A playlist of the lectures is available on YouTube.

Videos and slides from individual lectures are also provided below.
More information on the tutorials from the course is available here.

Videos & Slides

C. Draxl: Welcome Video


M. Scheffler: A primer to NOMAD PDF Video


S. Curtarolo: The seek for fingerprints in materials prediction PDF Video

J. Vibyral: Compressed sensing PDF Video

D. Kranzlmüller: Scientific and Information Visualization - Possibilities and Challenges PDF Video

T. Mueller: Practical applications of Bayesian cluster expansions PDF Video

G. Pilania: Materials property predictions using machine learning: Recent examples and future outlook PDF Video

A. v. Lilienfeld: Quantum machine learning PDF Video

 

NOMAD Repository and Archive

J. Shin: Introduction to the NOMAD Repository PDF Video

A. Sastre: The NOMAD Archive: metadata and normalisation PDF Video

 

NOMAD Advanced Graphics

M. Rampp: Introduction to Advanced Graphics PDF Video

R. García-Hernández: Virtual reality tools: overview, demonstrations PDF  Video

Team: NOMAD Graphics Toolkit, VR demonstrations PDF (slides) PDF (Handout)

 

NOMAD Analytics Toolkit

L. Ghiringhelli: Introduction to the Analytics Toolkit PDF Video

R. Ouyang: Searching for material descriptors by SISSO PDF Video

M. Troppenz: Cluster expansion for large parent cells: clathrates as a prototypical example PDF Video

S. Rigamonti, M. Troppenz, A. Hübner: Cluster expansion, ab initio thermodynamics, and cross validation PDF (Rigamonti) Video (Rigamonti) PDF (Troppenz) PDF (Hübner) Video (Hübner) 

M. Boley: Subgroup discovery PDF Video

A. Ziletti: Insightful crystal classification using deep learning PDF 

K. Thygesen: Computational screening of materials PDF Video

M. Strange: NOMAD Analytics Toolkit: Error estimation PDF Video

S. Lysgaard: Introduction to practical session: The Atomic Simulation Environment (ASE) and genetic algorithms PDF Video

G. Csanyi: Overview of kernel-based machine learning of atomistic properties PDF Video

J. Kermode: On the fly learning of forces PDF Video

 

NOMAD Encyclopedia

C. Draxl: Displaying computed scientific results PDF Video

L. Calvo: How to design an application? PDF Video

G. Huhs: All about the NOMAD Encyclopedia PDF Video