| Rayleigh number criterion for formation of A-segregates in steel castings and ingots MT Rad, P Kotas, C Beckermann Metallurgical and Materials Transactions A 44, 4266-4281, 2013 | 47 | 2013 |
| Theory-training deep neural networks for an alloy solidification benchmark problem MT Rad, A Viardin, GJ Schmitz, M Apel Computational Materials Science 180, 109687, 2020 | 26 | 2020 |
| Dynamics of grain boundary premelting M Torabi Rad, G Boussinot, M Apel Scientific Reports 10 (1), 21074, 2020 | 23 | 2020 |
| A truncated-Scheil-type model for columnar solidification of binary alloys in the presence of melt convection MT Rad, C Beckermann Materialia 7, 100364, 2019 | 15 | 2019 |
| solidificationMeltingSource: A Built-in fvOption in OpenFOAM® for Simulating Isothermal Solidification M Torabi Rad OpenFOAM®: Selected Papers of the 11th Workshop, 455-464, 2019 | 14 | 2019 |
| Upscaling mesoscopic simulation results to develop constitutive relations for macroscopic modeling of equiaxed dendritic solidification MT Rad, M Založnik, H Combeau, C Beckermann Materialia 5, 100231, 2019 | 12 | 2019 |
| Validation of a model for the columnar to equiaxed transition with melt convection MT Rad, C Beckermann CFD Modeling and Simulation in Materials Processing 2016, 85-92, 2016 | 12 | 2016 |
| Hybrid differential transform-finite difference solution of 2D transient nonlinear annular fin equation M Maererfat, M Torabi Rad, HR Ghazizadeh Iranian Journal of Mechanical Engineering Transactions of the ISME 11 (1), 5-20, 2010 | 5 | 2010 |
| Geometry of triple junctions during grain boundary premelting MT Rad, G Boussinot, M Apel Physical Review Letters 127 (22), 225701, 2021 | 3 | 2021 |
| On theory-training neural networks to infer the solution of highly coupled differential equations MT Rad, A Viardin, M Apel arXiv preprint arXiv:2102.04890, 2021 | 3 | 2021 |
| Multiphase macroscale models for macrosegregation and columnar to equiaxed transition during alloy solidification MT Rad The University of Iowa, 2018 | 2 | 2018 |
| Automatic detection of equiaxed dendrites using computer vision neural networks A Viardin, K Noth, MT Rad, L Sturz arXiv preprint arXiv:2207.07428, 2022 | 1 | 2022 |
| Constitutive relations for macroscopic modelling of equiaxed solidification MT Rad, M Zaloinik, H Combeau, C Beckermann Solidification Processing 2017: Proceedings of the 6th Decennial …, 2017 | 1 | 2017 |
| Evolution dynamics of premelted polycrystalline microstructures MT Rad, G Boussinot, M Apel Materialia 29, 101797, 2023 | | 2023 |
| Robustifying machine-learned algorithms for efficient grid operation N Christianson, C Yeh, T Li, MT Rad, A Golmohammadi, A Wierman NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning, 2022 | | 2022 |
| On Theory-training Neural Networks to Infer the Solution of Highly Coupled Differential Equations M Torabi Rad, A Viardin, M Apel arXiv e-prints, arXiv: 2102.04890, 2021 | | 2021 |
Christoph BeckermannProfessor of Mechanical Engineering, University of IowaVerified email at engineering.uiowa.edu
