NAISS User Forum 2025

When: 21-22 October, lunch to lunch
Where: Chalmers Conference Centre, Gothenburg (room RunAn)
How: Hybrid (Zoom links will be sent out by mail to remote participants)

This is our annual User Forum, open to all current and prospective NAISS users.

Building on the success of the first two NAISS User Forums, we invite you to participate in a forward-looking meeting focused on AI, machine learning methods, and the upcoming Arrhenius and Mimer AI factory systems.

Paul Erhart, professor at Chalmers and chair of NAISS’s National Allocations Committee, will deliver the keynote speech on how machine learning can be used to accelerate advanced simulations.

A sure highlight is meeting and listening to other users from different fields who will present their research and tell how they are using NAISS resources. In the evening you are invited to have a look at our Alvis system.

Throughout the conference there will be a booth with experienced NAISS application experts and other staff. They are happy to help you with specific issues and inform you about our resources, as well as the support and training that we offer. This is an excellent opportunity to provide feedback and voice community needs.

Registration

Registration is now closed.

Questions?

Please contact us at naiss.events@partner.liu.se if you have any questions related to the event.

Warmly welcome!

Programme

Download the programme as PDF here but please be aware that the HTML table below always is the most recent version, in case of late changes.

Tuesday 21 October
12:00-13:00Welcome L U N C H
13:00-13:30Welcome / Introduction
Erik Lindahl, NAISS Director
13:30-14:30Keynote: Accelerating advanced simulations by machine learning:
From models to insight
Paul Erhart, Full Professor, Condensed Matter and Materials Theory,
Deputy Head of Department, Physics at Chalmers
14:30-15:00NAISS compute resources and storage
Björn Alling, Deputy NAISS Director
15:00-15:30C O F F E E
15:30-16:00Future allocations and presentation of the National Allocations Committee
Working Group (NAC-WG)
Peter Münger, Chair of NAC-WG
16:00-17:00USER PRESENTATIONS:

Machine-learning-based decoders for quantum error correcting codes
Mats Granath, Dept. of Physics, University of Gothenburg

Generative AI for Lost Meanings and Unrepresented Voices
Pierluigi Cassotti, Dept. of Linguistics and Theory of Science,
University of Gothenburg

Leveraging Generative AI for synthetic biology applications
Aleksej Zelezniak, Dept. of Life Sciences, Chalmers
17:00-18:00Mingle and visit to computer hall and Alvis (AI/Machine Learning resource)
18:00-21:00D I N N E R


Wednesday 22 October
8:30-9:30USER PRESENTATIONS:

Toward Better Materials for Solar Energy through Advanced Modeling
Julia Wiktor, Dept. of Physics, Chalmers

Batch Bayesian Optimization of Attosecond X-ray Bursts
Dominika Maslarova, Dept. of Physics, Chalmers

Magnetism and spin-transport in 2D magnets from first principles theory
Biplab Sanyal, Dept. of Physics and Astronomy, Uppsala University
9:30-10:00Introduction to group discussions
10:00-10:30C O F F E E
10:30-11:30Group discussion: User needs
Torben Rasmussen, NAISS User Support Manager
Henric Zazzi, NAISS Deputy User Support Manager
11:30-11:45NAISS in the future
NAISS Steering Committee
11:45-12:00Summary and conclusion
Erik Lindahl
12:00-13:00Closing L U N C H