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Level of Detail Visual Analysis of Structures in Solid-State Materials
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-9156-647X
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3322-0646
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5352-1086
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2023 (English)In: EuroVis 2023 - Short Papers / [ed] Thomas Hoellt, Wolfgang Aigner, and Bei Wang, The Eurographics Association , 2023Conference paper, Published paper (Refereed)
Abstract [en]

We propose a visual analysis method for the comparison and evaluation of structures in solid-state materials based on the electron density field using topological analysis. The work has been motivated by a material science application, specifically looking for new so-called layered materials whose physical properties are required in many modern technological developments. Due to the incredibly large search space, this is a slow and tedious process, requiring efficient data analysis to characterize and understand the material properties. The core of our proposed analysis pipeline is an abstract bar representation that serves as a concise signature of the material, supporting direct comparison and also an exploration of different material candidates.

Place, publisher, year, edition, pages
The Eurographics Association , 2023.
Keywords [en]
Visualization, solid-state materials, charge density, topological data analysis
National Category
Computer Sciences Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-196474DOI: 10.2312/evs.20231043OAI: oai:DiVA.org:liu-196474DiVA, id: diva2:1786214
Conference
EuroVis 2023
Funder
Swedish Research Council, 2019-05487Swedish e‐Science Research CenterELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsWallenberg AI, Autonomous Systems and Software Program (WASP)Available from: 2023-08-08 Created: 2023-08-08 Last updated: 2023-08-08

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Sidwall Thygesen, SigneAbrikosov, Alexei I.Steneteg, PeterMasood, Talha BinHotz, Ingrid

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Sidwall Thygesen, SigneAbrikosov, Alexei I.Steneteg, PeterMasood, Talha BinHotz, Ingrid
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