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ORCIDDierk Raabe
Person information
- award (2004): Gottfried Wilhelm Leibniz Prize
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2020 – today
- 2024
[i5]Mohammad Khorrami, Pawan Goyal, Jaber Rezaei Mianroodi, Bob Svendsen, Peter Benner
, Dierk Raabe:
Divergence-free neural operators for stress field modeling in polycrystalline materials. CoRR abs/2408.15408 (2024)- 2023
- [j5]Dierk Raabe, Jaber Rezaei Mianroodi, Jörg Neugebauer:
Accelerating the design of compositionally complex materials via physics-informed artificial intelligence. Nat. Comput. Sci. 3(3): 198-209 (2023) - 2022
- [i4]Iman Peivaste, Nima H. Siboni, Ghasem Alahyarizadeh, Reza Ghaderi, Bob Svendsen, Dierk Raabe, Jaber Rezaei Mianroodi:
Accelerating phase-field-based simulation via machine learning. CoRR abs/2205.02121 (2022) - [i3]Jaber Rezaei Mianroodi, Nima H. Siboni, Dierk Raabe:
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning. CoRR abs/2209.11259 (2022) - 2021
- [j4]Ye Wei, Rama Srinivas Varanasi, Torsten Schwarz, Leonie Gomell, Huan Zhao, David J. Larson, Binhan Sun, Geng Liu, Hao Chen, Dierk Raabe, Baptiste Gault:
Machine-learning-enhanced time-of-flight mass spectrometry analysis. Patterns 2(2): 100192 (2021) - [i2]Jaber Rezaei Mianroodi, Shahed Rezaei, Nima H. Siboni, Bai-Xiang Xu, Dierk Raabe:
Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence. CoRR abs/2108.02837 (2021) - 2020
- [i1]Ye Wei, Rama Srinivas Varanasi, Torsten Schwarz, Leonie Gomell, Huan Zhao, David J. Larson, Binhan Sun, Geng Liu, Hao Chen, Dierk Raabe, Baptiste Gault:
Machine-learning-enhanced time-of-flight mass spectrometry analysis. CoRR abs/2010.01030 (2020)
2010 – 2019
- 2016
- [j3]Hyun Seok Oh, Duancheng Ma, Gerard Paul Leyson, Blazej Grabowski, Eunsoo Park, Fritz Körmann, Dierk Raabe:
Lattice Distortions in the FeCoNiCrMn High Entropy Alloy Studied by Theory and Experiment. Entropy 18(9): 321 (2016) - 2011
- [j2]Timm Krüger, F. Varnik, Dierk Raabe:
Efficient and accurate simulations of deformable particles immersed in a fluid using a combined immersed boundary lattice Boltzmann finite element method. Comput. Math. Appl. 61(12): 3485-3505 (2011) - [j1]D. K. Sun, M. F. Zhu, S. Y. Pan, C. R. Yang, Dierk Raabe:
Lattice Boltzmann modeling of dendritic growth in forced and natural convection. Comput. Math. Appl. 61(12): 3585-3592 (2011)
Coauthor Index
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