Events
NOMAD CoE Events
Each day will be structured into 3-4 invited talks given by experts in AI applied to materials science or experts in AI with a computer-science / applied-mathematics background. Each talk will end with a Q&A session.
This event contains keynote lectures as well as selected hands-on sessions related to new advancements in the exciting code.
The NOMAD virtual tutorials are designed as interactive online seminars with introductory videos, hands-on exercises, and live Q&A zoom sessions with NOMAD developers.
Lectures will provide in-depth information on and training in the fundamentals of advanced exchange-correlation functionals and many-body perturbation theory based on Green functions.
TBA
This CECAM flagship workshop will focus on recent, important developments, addressing exascale computing and artificial intelligence (AI) methods with a specific focus on urgent topics of materials science.
This 4-days combined workshop/hackathon (2-day/2-day) will introduce young scientists from the electronic structure community to the latest developments in the Atomic Simulation Environment (ASE) and Fireworks software packages.
The NOMAD virtual tutorials are designed as interactive online seminars with introductory videos, hands-on exercises, and live Q&A zoom sessions with NOMAD developers.
The course covers all the hottest topics in artificial intelligence, including machine and deep learning, compressed sensing, and data mining.
The course will motivate the audience on the need for portable, efficient programming models that put less pressure on program developers while still getting good performance for clusters and clusters with GPUs.
The workshop will allow one to have a broad view of what is going on in WP2 (e.g. benchmarking of current implementations, results of discussions concerning the structure of GreenX) as well as to have deep discussions preparing future developments.
Symposium at the Virtual DPG-Frühjahrstagung (DPG Spring Meeting) of the Surface Science Division
In this tutorial we introduce the functionalities of the NOMAD AI Toolkit, the web-based framework for querying, filtering, and perform AI analysis on the data contained in the NOMAD Archive.
Plenary Talk about FAIR Data Infrastructure and Artificial Intelligence in Materials Science by Matthias Scheffler.
Panel discussion with Claudia Draxl, Matthias Scheffler, and Peter Frensch (Vice President for Research, HU Berlin).