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Ali Riza Durmaz

materials department

10H-index
39Paper Count
351Citation Count
Published Papers 14
Publication Date
A Correlative Microscopy Dataset for Multimodal Data Fusion and Image Matching in Materials Science
err2026-08-14
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errAli Riza Durmaz; James D. Lamb; Kamilla Zaripova; Madeline Vailhe; Julia T. Pürstl; Justine Schulte; Marc Ackermann; McLean P. Echlin; Tresa M. Pollock
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Foundation models for multimodal image data fusion in materials science
err2026-05-21
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errOAAI
errAR Ali Riza Durmaz †; JD James D. Lamb †; MP McLean P. Echlin †; TM Tresa M. Pollock †
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Ontology-conformal recognition of materials entities using language models
err2025-05-28
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errPotu, Sai Teja; Niranjan Murthy, Rachana; Thomas, Akhil; Mishra, Lokesh; Prange, Natalie; Durmaz, Ali Riza
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Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science
err2024-12-18
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errBayerlein, Bernd; Waitelonis, Joerg; Birkholz, Henk; Jung, Matthias; Schilling, Markus; Hartrott, Philipp V.; Bruns, Marian; Schaarschmidt, Joerg; Beilke, Kristian; Mutz, Marcel; Nebel, Vincent; Koeniger, Veit; Beran, Lisa; Kraus, Tobias; Vyas, Akhilesh; Vogt, Lars; Blum, Moritz; Ell, Basil; Chen, Ya-Fan; Waurischk, Tina; Thomas, Akhil; Durmaz, Ali Riza; Ben Hassine, Sahar; Fresemann, Carina; Dziwis, Gordian; Nasrabadi, Hossein Beygi; Hanke, Thomas; Telong, Melissa; Pirskawetz, Stephan; Kamal, Mohamed; Bjarsch, Thomas; Paehler, Ursula; Hofmann, Peter; Leemhuis, Mena; Oezcep, oezguer L.; Meyer, Lars-Peter; Skrotzki, Birgit; Neugebauer, Joerg; Wenzel, Wolfgang; Sack, Harald; Eberl, Chris; Portella, Pedro Dolabella; Hickel, Tilmann; Maedler, Lutz; Gumbsch, Peter
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Materials fatigue prediction using graph neural networks on microstructure representations (vol 13, 12562, 2023)
err2023-08-21
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errOAAI
errThomas, Akhil; Durmaz, Ali Riza; Alam, Mehwish; Gumbsch, Peter; Sack, Harald; Eberl, Chris
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Materials fatigue prediction using graph neural networks on microstructure representations
err2023-08-02
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errOAAI
errThomas, Akhil; Durmaz, Ali Riza; Alam, Mehwish; Gumbsch, Peter; Sack, Harald; Eberl, Chris
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Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models
err2022-07-01
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errDurmaz, Ali Riza; Natkowski, Erik; Arnaudov, Nikolai; Sonnweber-Ribic, Petra; Weihe, Stefan; Munstermann, Sebastian; Eberl, Chris; Gumbsch, Peter
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Addressing materials' microstructure diversity using transfer learning
err2022-02-03
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errOAAI
errGoetz, Aurele; Durmaz, Ali Riza; Muller, Martin; Thomas, Akhil; Britz, Dominik; Kerfriden, Pierre; Eberl, Chris
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A deep learning approach for complex microstructure inference
err2021-11-01
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errOAAI
errDurmaz, Ali Riza; Mueller, Martin; Lei, Bo; Thomas, Akhil; Britz, Dominik; Holm, Elizabeth A.; Eberl, Chris; Mucklich, Frank; Gumbsch, Peter
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Fatigue lifetime prediction with a validated micromechanical short crack model for the ferritic steel EN 1.4003
err2021-11-01
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PREAI
errNatkowski, Erik; Durmaz, Ali Riza; Sonnweber-Ribic, Petra; Muenstermann, Sebastian
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Automated Quantitative Analyses of Fatigue-Induced Surface Damage by Deep Learning
err2020-07-24
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errOAAI
errThomas, Akhil; Durmaz, Ali Riza; Straub, Thomas; Eberl, Chris
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