liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exploring Electron Density Evolution using Merge Tree Mappings
University of Kaiserslautern-Landau, Germany. (Scientific Visualization Lab)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5352-1086
KTH Royal Institute of Technology, Stockholm. (Department of Chemistry)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-7285-0483
Show others and affiliations
2024 (English)In: EuroVis 2024 - Short Papers / [ed] Christian Tominski, Manuela Waldner, and Bei Wang, 2024Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a prototypical visualization for the analysis of light-induced dynamics in molecules. It utilizes topological distances to find temporal patterns in scalar fields representing the electronic structure of such molecules and to illustrate the evolution of their features. It also provides a means to correlate these findings to the geometric evolution of the molecules.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Merge trees, merge tree metrics, topological data analysis, topology in visualization
National Category
Computer Sciences Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-208068DOI: 10.2312/evs.20241069OAI: oai:DiVA.org:liu-208068DiVA, id: diva2:1902426
Conference
EuroVis 2024 - 26th EG Conference on Visualization, Odense, Denmark, May 27-31, 2024
Funder
Swedish e‐Science Research CenterSwedish Research Council, 2023-04806Swedish Research Council, 2022-02871Swedish Research Council, 2019-05487Wallenberg AI, Autonomous Systems and Software Program (WASP)
Note

This research was supported by the German Research Foundation (DFG): 442077441; the Swedish e-Science Research Center (SeRC); the Swedish Research Council (VR): 2019-05487, 2022-02871, 2023-04806; and, Wallenberg Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation. The simulations were enabled by the super-computing resource Berzelius provided by the National Supercomputer Centre (NSC) at Linköping University and the Knut and Alice Wallenberg Foundation. 

Available from: 2024-10-01 Created: 2024-10-01 Last updated: 2024-10-09

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Masood, Talha BinHotz, Ingrid

Search in DiVA

By author/editor
Masood, Talha BinHotz, Ingrid
By organisation
Media and Information TechnologyFaculty of Science & Engineering
Computer SciencesHuman Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 218 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf