2025 IEEE Scientific Visualization Contest Winner: A Comprehensive Visual Exploration Tool for Multivariate Multi-Objective Optimization of Aluminum Alloy Compositions
Hengsbach T.; Kathöfer P.; Hourani K.; Borrelli G.; Gerasimova M.; Miro T.; Gol R.S.; Uedemann J.; Linsen L.
Forschungsartikel (Zeitschrift) | Peer reviewedZusammenfassung
The exploration of scrap alloy compositions to discover new high-performance metals presents a significant challenge due to the large search space of chemical compositions and multi-objective material properties. We present an interactive visual analysis tool that allows for a comprehensive exploration of all facets of the data. We employ multivariate data visualization methods in coordinated views for overviews, detailed exploration, and comparison. A level-of-detail control allows for interactive sessions.
Details zur Publikation
Fachzeitschrift: IEEE Computer Graphics and Applications
Jahrgang / Bandnr. / Volume: Early Access
Status: Veröffentlicht
Veröffentlichungsjahr: 2026
Sprache, in der die Publikation verfasst ist: Englisch
Link zum Volltext: https://api.elsevier.com/content/abstract/scopus_id/105036594987
Stichwörter: Visual Exploration Tool; Aluminum Alloy Compositions
Autor*innen der Universität Münster
| Sabbagh Gol, Reyhaneh |