Network Event 4 - Summary & Resources

Resources now available

Training resources and slides now available
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JP Morrissey

Kevin Hanley

Catherine O’Sullivan

Published

March 31, 2026

Event Summary

We would like to thank everyone who took part in Network Event 4 which was a joint event with ON-DEM. This is scheduled to be our final in-person event, and we had a great turnout with more than 30 people joining plus several more online. We also had a great turnout from our ON-DEM colleagues, with many of them joining us in person.

Group photo in The Great Hall, Queens’ University Belfast

Group photo in The Great Hall, Queens’ University Belfast

Thanks to all those who joined us, either in person or online.

Dinner at the Great Hall, Queens’ University Belfast

Dinner at the Great Hall, Queens’ University Belfast

Dinner at Holohan’s Pantry on Day two

Dinner at Holohan’s Pantry on Day two

As always we need to thanks the many community members who contributed to the event and delivered training sessions on data analysis and visualisation, GPU computing and advanced deep learning techniques.

Training resources now available

Training resources from day one and two on Data Analyis & Visualisation, Introduction to GPU Computing, GPU Granular LAMMPS and Advanced Deep Learning Techniques (which was an extension of the training at NE3) are all now available on the NE4 Event page.

Many thanks to everyone who made these sessions possible with engaging and useful material.

AI/ML Training Session

AI/ML Training Session

Discussion session on ON-DEM common file format

Discussion session on ON-DEM common file format

ON-DEM WG2 Working group session

ON-DEM WG2 Working group session

New Zenodo Collection for Outputs

In order to make the resources from the various training events more sustainable, we have created a ParaSolS Collection on Zenodo where all important training material and outputs can be found in a single location. These are also permanent and citeable resources helping ensure outputs are easily findable beyond the ParaSolS website.

We would also like to point out that if you have datasets, code and other resources that you think would benefit the community, please consider adding them to the ParaSolS collection to increase visibility within the community.

We hope you find these resources useful!

Reminder: Join the Community

Also, don’t forget to join the CCC-ParaSolS community if you have not already done so!

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