Beschleunigtes Materialdesign durch künstliche Intelligenz im Forschungsdatenmanagement

Using the example of polyurethane foam structures, this work develops a modular, FAIR workflow for data-driven materials development. Through AI-based segmentation, generative 3D models, and simulations, microstructural properties are automatically analysed and mechanical characteristics are reliabl...

Fuld beskrivelse

Saved in:
Bibliografiske detaljer
Hovedforfatter: Griem, Lars Christoph
Format: Online
Sprog:tysk
Udgivet: KIT Scientific Publishing 2026
Fag:
Online adgang:2192-9963 (Online)
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
_version_ 1869526485906227200
author Griem, Lars Christoph
author_browse Griem, Lars Christoph
author_facet Griem, Lars Christoph
author_sort Griem, Lars Christoph
collection Directory of Open Access Books
description Using the example of polyurethane foam structures, this work develops a modular, FAIR workflow for data-driven materials development. Through AI-based segmentation, generative 3D models, and simulations, microstructural properties are automatically analysed and mechanical characteristics are reliably predicted. The generic workflows and transparent data management accelerate the development process and can be flexibly applied to other materials.
format Online
id doab-20.500.12854ir-174321
institution Directory of Open Access Books
language ger
publishDate 2026
publishDateRange 2026
publishDateSort 2026
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-1743212026-03-25T05:27:02Z Beschleunigtes Materialdesign durch künstliche Intelligenz im Forschungsdatenmanagement Griem, Lars Christoph FAIR Generative AI Generative KI Materialentwicklung Materials Design Research Data Management Segmentation Segmentierung Forschungsdatenmanagement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering Using the example of polyurethane foam structures, this work develops a modular, FAIR workflow for data-driven materials development. Through AI-based segmentation, generative 3D models, and simulations, microstructural properties are automatically analysed and mechanical characteristics are reliably predicted. The generic workflows and transparent data management accelerate the development process and can be flexibly applied to other materials. 2026-03-25T05:27:01Z 2026-03-25T05:27:01Z 2026-03-24T10:09:47Z 2026 book 2192-9963 (Online) 2192-9963 https://library.oapen.org/handle/20.500.12657/112177 https://directory.doabooks.org/handle/20.500.12854/174321 ger Schriftenreihe des Instituts für Angewandte Materialien, Karlsruher Institut für Technologie open access image/jpeg Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/112177/1/9783731514619.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000187467 10.5445/KSP/1000187467 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 KIT Scientific Publishing 338 Karlsruhe, Germany open access
spellingShingle FAIR
Generative AI
Generative KI
Materialentwicklung
Materials Design
Research Data Management
Segmentation
Segmentierung
Forschungsdatenmanagement
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering
Griem, Lars Christoph
Beschleunigtes Materialdesign durch künstliche Intelligenz im Forschungsdatenmanagement
title Beschleunigtes Materialdesign durch künstliche Intelligenz im Forschungsdatenmanagement
title_full Beschleunigtes Materialdesign durch künstliche Intelligenz im Forschungsdatenmanagement
title_fullStr Beschleunigtes Materialdesign durch künstliche Intelligenz im Forschungsdatenmanagement
title_full_unstemmed Beschleunigtes Materialdesign durch künstliche Intelligenz im Forschungsdatenmanagement
title_short Beschleunigtes Materialdesign durch künstliche Intelligenz im Forschungsdatenmanagement
title_sort beschleunigtes materialdesign durch kunstliche intelligenz im forschungsdatenmanagement
topic FAIR
Generative AI
Generative KI
Materialentwicklung
Materials Design
Research Data Management
Segmentation
Segmentierung
Forschungsdatenmanagement
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering
topic_facet FAIR
Generative AI
Generative KI
Materialentwicklung
Materials Design
Research Data Management
Segmentation
Segmentierung
Forschungsdatenmanagement
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering
url 2192-9963 (Online)
work_keys_str_mv AT griemlarschristoph beschleunigtesmaterialdesigndurchkunstlicheintelligenzimforschungsdatenmanagement