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Max Hodapp
Max Hodapp
Materials Center Leoben Forschung GmbH (MCL)
Verified email at mcl.at - Homepage
Title
Cited by
Cited by
Year
GPU accelerated computational homogenization based on a variational approach in a reduced basis framework
F Fritzen, M Hodapp, M Leuschner
Computer Methods in Applied Mechanics and Engineering 278, 186-217, 2014
902014
The finite element square reduced (FE2R) method with GPU acceleration: towards three‐dimensional two‐scale simulations
F Fritzen, M Hodapp
International Journal for Numerical Methods in Engineering 107 (10), 853-881, 2016
682016
The coupled atomistic/discrete-dislocation method in 3d part I: Concept and algorithms
G Anciaux, T Junge, M Hodapp, J Cho, JF Molinari, WA Curtin
Journal of the Mechanics and Physics of Solids 118, 152-171, 2018
462018
Coupled atomistic/discrete dislocation method in 3D Part II: Validation of the method
M Hodapp, G Anciaux, JF Molinari, WA Curtin
Journal of the Mechanics and Physics of Solids 119, 1-19, 2018
292018
In operando active learning of interatomic interaction during large-scale simulations
M Hodapp, A Shapeev
Machine Learning: Science and Technology 1 (4), 045005, 2020
222020
Machine-learning potentials enable predictive and tractable high-throughput screening of random alloys
M Hodapp, A Shapeev
Physical Review Materials 5 (11), 113802, 2021
142021
Lattice Green function methods for atomistic/continuum coupling: Theory and data-sparse implementation
M Hodapp, G Anciaux, WA Curtin
Computer Methods in Applied Mechanics and Engineering 348, 1039-1075, 2019
142019
Analysis of a Sinclair-type domain decomposition solver for atomistic/continuum coupling
M Hodapp
Multiscale Modeling & Simulation 19 (4), 1499-1537, 2021
82021
Constrained DFT-based magnetic machine-learning potentials for magnetic alloys: a case study of Fe–Al
AS Kotykhov, K Gubaev, M Hodapp, C Tantardini, AV Shapeev, ...
Scientific Reports 13 (1), 19728, 2023
52023
AI-accelerated materials informatics method for the discovery of ductile alloys
I Novikov, O Kovalyova, A Shapeev, M Hodapp
Journal of Materials Research 37 (21), 3491-3504, 2022
52022
Efficient flexible boundary conditions for long dislocations
M Hodapp
arXiv preprint arXiv:2105.08798, 2021
42021
Efficient lattice Green's function method for bounded domain problems
A Gupta, M Hodapp, WA Curtin
International Journal for Numerical Methods in Engineering 123 (23), 5854-5883, 2022
22022
On flexible Green function methods for atomistic/continuum coupling
ML Hodapp
EPFL, 2018
22018
Ab initio framework for deciphering trade-off relationships in multi-component alloys
F Moitzi, L Romaner, M Hodapp, AV Ruban, OE Peil
arXiv preprint arXiv:2311.12642, 2023
12023
Efficient descriptors and active learning for grain boundary segregation
C Dösinger, M Hodapp, O Peil, A Reichmann, V Razumovskiy, ...
Physical Review Materials 7 (11), 113606, 2023
12023
Automated ab initio-accurate atomistic simulations of dissociated dislocations
L Mismetti, M Hodapp
arXiv preprint arXiv:2311.01830, 2023
12023
Equivariant Tensor Networks
M Hodapp, A Shapeev
arXiv preprint arXiv:2304.08226, 2023
12023
Coupled Atomistics and Discrete Dislocations in 3d (CADD-3d)
G Anciaux, J Cho, T Junge, ML Hodapp, JF Molinari, W Curtin
12018
Nonlinear homogenization using model order reduction: two-scale simulations and novel developments using the pRBMOR on GPUs
F Fritzen, M Leuschner, M Hodapp
12e Colloque national en calcul des structures, 2015
12015
Automated atomistic simulations of dissociated dislocations with ab initio accuracy
L Mismetti, M Hodapp
Physical Review B 109 (9), 094120, 2024
2024
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