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Ali Riza Durmaz

Showing results (1-10 of 5) with videos related to

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Materials (Basel, Switzerland)|July 30, 2020
Automated Quantitative Analyses of Fatigue-Induced Surface Damage by Deep LearningAkhil Thomas, Ali Riza Durmaz, Thomas Straub, et al.
Scientific Data|October 10, 2024
An ontology-based text mining dataset for extraction of process-structure-property entitiesAli Riza Durmaz, Akhil Thomas, Lokesh Mishra, et al.
Scientific Reports|August 21, 2023
Author Correction: Materials fatigue prediction using graph neural networks on microstructure representationsAkhil Thomas, Ali Riza Durmaz, Mehwish Alam, et al.
Scientific Reports|August 2, 2023
Materials fatigue prediction using graph neural networks on microstructure representationsAkhil Thomas, Ali Riza Durmaz, Mehwish Alam, et al.
Nature Communications|November 2, 2021
A deep learning approach for complex microstructure inferenceAli Riza Durmaz, Martin Müller, Bo Lei, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Materials (Basel, Switzerland)|July 30, 2020
Automated Quantitative Analyses of Fatigue-Induced Surface Damage by Deep LearningAkhil Thomas, Ali Riza Durmaz, Thomas Straub, et al.
Scientific Data|October 10, 2024
An ontology-based text mining dataset for extraction of process-structure-property entitiesAli Riza Durmaz, Akhil Thomas, Lokesh Mishra, et al.
Scientific Reports|August 21, 2023
Author Correction: Materials fatigue prediction using graph neural networks on microstructure representationsAkhil Thomas, Ali Riza Durmaz, Mehwish Alam, et al.
Scientific Reports|August 2, 2023
Materials fatigue prediction using graph neural networks on microstructure representationsAkhil Thomas, Ali Riza Durmaz, Mehwish Alam, et al.
Nature Communications|November 2, 2021
A deep learning approach for complex microstructure inferenceAli Riza Durmaz, Martin Müller, Bo Lei, et al.
Pageof 1