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 |
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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 |