Efficient and accurate simulations of deformable particles immersed in a fluid using a combined immersed boundary lattice Boltzmann finite element method. - Timm Krüger; F. Varnik; Dierk Raabe (Comput. Math. Appl., 2011)

Lattice Boltzmann modeling of dendritic growth in forced and natural convection. - D. K. Sun; M. F. Zhu; S. Y. Pan; C. R. Yang; Dierk Raabe (Comput. Math. Appl., 2011)

Lattice Distortions in the FeCoNiCrMn High Entropy Alloy Studied by Theory and Experiment. - Hyun Seok Oh; Duancheng Ma; Gerard Paul Leyson; Blazej Grabowski; Eunsoo Park; Fritz Körmann; Dierk Raabe (Entropy, 2016)

Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence. - Jaber Rezaei Mianroodi; Shahed Rezaei; Nima H. Siboni; Bai-Xiang Xu; Dierk Raabe (CoRR, 2021)

Machine-learning-enhanced time-of-flight mass spectrometry analysis. - Ye Wei; Rama Srinivas Varanasi; Torsten Schwarz; Leonie Gomell; Huan Zhao; David J. Larson; Binhan Sun; Geng Liu; Hao Chen 054; Dierk Raabe; Baptiste Gault (Patterns, 2021)

Accelerating phase-field-based simulation via machine learning. - Iman Peivaste; Nima H. Siboni; Ghasem Alahyarizadeh; Reza Ghaderi; Bob Svendsen; Dierk Raabe; Jaber Rezaei Mianroodi (CoRR, 2022)

Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning. - Jaber Rezaei Mianroodi; Nima H. Siboni; Dierk Raabe (CoRR, 2022)

Accelerating the design of compositionally complex materials via physics-informed artificial intelligence. - Dierk Raabe; Jaber Rezaei Mianroodi; Jörg Neugebauer (Nat. Comput. Sci., 2023)

Divergence-free neural operators for stress field modeling in polycrystalline materials. - Mohammad Khorrami; Pawan Goyal 003; Jaber Rezaei Mianroodi; Bob Svendsen; Peter Benner; Dierk Raabe (CoRR, 2024)