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Visualization of incommensurately modulated structures on example of allotropes of bromine at high pressures

Visualization of incommensurately modulated structures on example of allotropes of bromine at high pressures

This project developed a specialized 3D visualization tool to explore how halogen crystal structures transform under extreme pressure, particularly focusing on incommensurately modulated structures that emerge during molecular dissociation. By enabling interactive visualization of complex atomic configurations and transitions, the tool helps researchers interpret structural phase changes that are otherwise difficult to analyze using conventional crystallographic methods.

Constructing a virtual Synchrotron X-ray beamline

Constructing a virtual Synchrotron X-ray beamline

Researchers from InfraVis and MAX IV are developing virtual environments from CAD drawings for education, training, and virtual experiments. Using Blender and Unreal Engine 5, the team optimizes complex geometries for immersive visualization of beamlines like ForMAX at MAX IV. Future work focuses on topology optimization for seamless VR experiences.

InfraVis identified as key to Unlocking Data Potential at facilities like MAX IV and ESS

InfraVis identified as key to Unlocking Data Potential at facilities like MAX IV and ESS

The recent Swedish Research Council report, Bottlenecks that Delay the Benefits of Large-Scale Research Infrastructure, highlights data management, analysis, and visualization as major challenges for researchers. We are honored that InfraVis has been recognized as a key infrastructure in unlocking data potential at facilities like MAX IV and ESS. We look forward to continuing this important work alongside our users.

Interactive tools for visualisation of DNA, RNA, and protein structures

Interactive tools for visualisation of DNA, RNA, and protein structures

Joakim Bohlin, InfraVis Application Expert, developed interactive tools for visualizing DNA, RNA, and protein structures. His work includes oxView for DNA nanotechnology, oxJenga for VR simulations of DNA origami, and Vrotein, a web app for protein visualization using VR/AR. These tools were showcased at MAX IV Users’ Meeting 2025.

Join Our Team: Associate Researcher in Machine Learning

Join Our Team: Associate Researcher in Machine Learning

Lund University seeks an Associate Researcher in Machine Learning to join InfraVis & CIPA, supporting interdisciplinary research through AI-driven data analysis and visualization. This full-time, permanent role offers career growth, collaboration with experts, and generous benefits. Apply now to contribute to cutting-edge research in a world-class academic environment!