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Dear all,

We welcome you to the workshop titled “Computation and Visualization of Large Molecular Systems” on May 27 and 28, 2024. A series of seminars and tutorials will be offered;
in particular, it will be the occasion for Swedish researchers to get familiar with Molecular Nodes developed by Brady Johnston that facilitates the rendering of molecular system with Blender.

The plenary lectures and the dome session will take place in the Dome of the Norrköping Visualization Center, while the workshop will take place at Norrköping Campus (TBA).
The number of participants is limited at 50 for the tutorials and at 90 for the events happening in the dome.

Form for registration: https://forms.gle/nT4DNpiJjpivLYvv6

Brady Johnston will give a continuation of his workshop on May 30 at SciLifeLab, Stockholm, from 9-12 to go deeper into Molecular Nodes. The registration for this event is also in the form.

Deadline for registration: 21th of May.

Please forward this email to people in your group that might be interested.

Program (tentative)

Monday 27th of May

10:00-12:00: Workshop by Brady Johnston: “Molecular Nodes for Blender”
12:00-13:00: Lunch
13:00-15:30: Continuation of the Workshop with Brady Johnston
15:30-16:00: Coffee Break
16:00-17:00: Plenary Lecture by Dr. Inkoo Kim from the Innovation Center, Samsung Electronics: “Kohn-Sham Time-Dependent Density Functional Theory on the Massively Parallel GPU”
17:00-18:00: Plenary Lecture by Brady Johnston: “Making atoms visible with Blender3D”
18:00-20:00: Dinner
20:00-21:30: Dome Session – More to be announced

Tuesday 28th of May

09:00-12:00: Workshop by Robin Skånberg and Mathieu Linares: “VIAMD: A software for Visual Analysis of Molecular Dynamics”
12:00-13:00 Lunch
13:00-16:00: Workshop by the VeloxChem Team: “Veloxchem: Next-generation quantum chemistry software for molecular properties”

 

Blender rendering of luminescent ligands for amyloid detection using Molecular Nodes (Brady Johnston).

Illustration: Blender rendering of luminescent ligands for amyloid detection using Molecular Nodes (Brady Johnston).