Donglin Liu
Application Expert
node
Application Expert
InfraVis Days in Lund 5-7 November 2024 Twice per year, InfraVis gathers at one of the nodes (partner universities) for knowledge exchange. This time Lund university is the host and there will be workshops, visit to the Humanities lab, and of course the InfraVis User Forum. The InfraVis User Forum is an opportunity for InfraVis users to showcase their projects and results, and to inspire future users of InfraVis excellent support. This part of the InfraVis Days is also open to the public. Below you find a preliminary program. Please register before the 21st October. Guests from outside InfraVis…
Time: October 22-23, 2024; LINXS – Institute of Advanced Neutron and X-ray Science, IDEON Delta 5, Floor 5, Scheelevägen 19, 223 70 Lund, Sweden
Communications Officer
Time: 13-15:30, March 14, 2024; Lund University, Sölvegatan 18, Lund, Sweden
Time: February 29, 2024; Copenhagen University, Frederiksberg Campus, Festauditoriet A1-01.01, Bülowsvej 17, 1870 Frederiksberg C, Copenhagen, Denmark
Time: October 31, 2023; Location: LINXS, IDEON Delta 5, Floor 5, Scheelevägen 19, 223 70 Lund, Sweden
Positioning lab is part of the Centre for Mathematical Sciences at Lund University.
Positioning is a fundamental component for developing many smart applications in the future. We are happy to be able to offer this opportunity to researchers at both universities and companies.
Virtual Reality (VR) can be described as an artificial environment that has been created digitally. By providing the user’s senses with information as realistic as possible, the user is presented with a version of reality that doesn’t really exist, yet can be experienced as very convincing.
Imaging at large-scale facilities offers unique opportunities for measuring a material’s microstructure. Most often, these measurements require quantitative image analysis to obtain the relevant information. To ensure a high scientific output from MAX IV, the QIM center aims at developing and using the most relevant tools for analyzing the data for a given problem.