Výsledky vyhledávání - "Thomas, Akhil"

Report

MaterioMiner -- An ontology-based text mining dataset for extraction of process-structure-property entities

Autor: Durmaz, Ali Riza, Thomas, Akhil, Mishra, Lokesh, Murthy, Rachana Niranjan, Straub, Thomas

While large language models learn sound statistical representations of the language and information therein, ontologies are symbolic knowledge representations that can complement the former ideally. Research at this critical intersection relies on da

Externí odkaz: http://arxiv.org/abs/2408.04661

Zobrazit plný text záznamu

Report

Addressing materials' microstructure diversity using transfer learning

Autor: Goetz, Aurèle, Durmaz, Ali Riza, Müller, Martin, Thomas, Akhil, Britz, Dominik, Kerfriden, Pierre, Eberl, Chris

Materials' microstructures are signatures of their alloying composition and processing history. Therefore, microstructures exist in a wide variety. As materials become increasingly complex to comply with engineering demands, advanced computer vision

Externí odkaz: http://arxiv.org/abs/2107.13841

Zobrazit plný text záznamu

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Akademický článek

Materials fatigue prediction using graph neural networks on microstructure representations.

Autor: Thomas, Akhil^1,2 (AUTHOR) akhil.thomas@iwm.fraunhofer.de, Durmaz, Ali Riza^1,2 (AUTHOR), Alam, Mehwish³ (AUTHOR), Gumbsch, Peter^1,4 (AUTHOR), Sack, Harald^5,6 (AUTHOR), Eberl, Chris^1,2 (AUTHOR)

Publikováno v: Scientific Reports. 8/2/2023, Vol. 13 Issue 1, p1-16. 16p.