; ;
In
Computers & chemical engineering
2025
Online
URL: https://www.sciencedirect.com/special-issue/10VWWK7G4W0
Einrichtungen
External link: ![]()
Fulltext
Dokumenttyp
Book
Format
online
Sprache
English
Interne Identnummern
RWTH-2025-07193
Datensatz-ID: 1017187
Beteiligte Länder
Germany, Netherlands
Journal Article/Contribution to a book
Exploring data augmentation: Multi-task methods for molecular property prediction
Computers & chemical engineering 201, 109253 (2025) [10.1016/j.compchemeng.2025.109253] special issue: "Machine learning in chemical engineering : Special issue / Guest Editors: Professor Alexander Mitsos, Dr. Erik Esche, Professor Artur M. Schweidtmann"
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