עקוב אחר
Mahdi Torabi Rad
Mahdi Torabi Rad
Research Associate, RWTH Aachen, ACCESS e.V.
כתובת אימייל מאומתת בדומיין access.rwth-aachen.de
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
482013
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
322020
Dynamics of grain boundary premelting
M Torabi Rad, G Boussinot, M Apel
Scientific Reports 10 (1), 21074, 2020
282020
solidificationMeltingSource: A Built-in fvOption in OpenFOAM® for Simulating Isothermal Solidification
M Torabi Rad
OpenFOAM®: Selected Papers of the 11th Workshop, 455-464, 2019
192019
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
152019
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
122016
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
112019
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
52010
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
42022
Geometry of triple junctions during grain boundary premelting
M Torabi Rad, G Boussinot, M Apel
Physical Review Letters 127 (22), 225701, 2021
32021
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
32021
Multiphase macroscale models for macrosegregation and columnar to equiaxed transition during alloy solidification
MT Rad
The University of Iowa, 2018
22018
Conformalized Physics-Informed Neural Networks
L Podina, MT Rad, M Kohandel
ICLR 2024 Workshop on AI4Differential Equations In Science, 2024
12024
Automatic detection of equiaxed dendrites using computer vision neural networks
A Viardin, K Noth, MT Rad, L Sturz
arXiv preprint arXiv:2207.07428, 2022
12022
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
12017
Evolution dynamics of premelted polycrystalline microstructures
MT Rad, G Boussinot, M Apel
Materialia 29, 101797, 2023
2023
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
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מאמרים 1–17