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Adrian Menzel
Adrian Menzel
Defence Science and Technology Group
Verified email at defence.gov.au
Title
Cited by
Cited by
Year
Predicting the complete tensile properties of additively manufactured Ti-6Al-4V by integrating three-dimensional microstructure statistics with a crystal plasticity model
F Azhari, C Wallbrink, Z Sterjovski, BR Crawford, A Menzel, D Agius, ...
International Journal of Plasticity 148, 103127, 2022
232022
A machine learning accelerated inverse design of underwater acoustic polyurethane coatings
H Weeratunge, Z Shireen, S Iyer, A Menzel, AW Phillips, S Halgamuge, ...
Structural and Multidisciplinary Optimization 65 (8), 213, 2022
122022
A machine learning enabled hybrid optimization framework for efficient coarse-graining of a model polymer
Z Shireen, H Weeratunge, A Menzel, AW Phillips, RG Larson, ...
npj Computational Materials 8 (1), 224, 2022
82022
Equilibrium and nonequilibrium molecular dynamics methods to compute the first normal stress coefficient of a model polymer solution
AG Menzel, PJ Daivis, BD Todd
Physical Review Fluids 5 (8), 084201, 2020
82020
Deviations from classical hydrodynamic theory in highly confined planar Poiseuille flow of a polymer solution
A Menzel, P Daivis, B Todd
Computational Methods in Science and Technology 23 (3), 219-231, 2017
32017
Bayesian coarsening: rapid tuning of polymer model parameters
H Weeratunge, D Robe, A Menzel, AW Phillips, M Kirley, K Smith-Miles, ...
Rheologica Acta 62 (10), 477-490, 2023
22023
A novel machine learning enabled hybrid optimization framework for efficient and transferable coarse-graining of a model polymer
Z Shireen, H Weeratunge, A Menzel, AW Phillips, RG Larson, ...
arXiv preprint arXiv:2204.13295, 2022
12022
A machine learning accelerated inverse design of underwater acoustic polyurethane coatings with cylindrical voids
H Weeratunge, Z Shireen, S Iyer, R Sandberg, S Halgamuge, A Menzel, ...
arXiv preprint arXiv:2203.04409, 2022
12022
Interpretable Machine Learning of Phase Separated Microstructures in Polyurethane Block Copolymers
D Robe, A Menzel, A Phillips, P Daivis, S Erfani, E Hajizadeh
Bulletin of the American Physical Society, 2024
2024
Author Correction: A machine learning enabled hybrid optimization framework for efficient coarse-graining of a model polymer
Z Shireen, H Weeratunge, A Menzel, AW Phillips, RG Larson, ...
NPJ Computational Materials 9 (1), 210, 2023
2023
A novel machine learning enabled hybrid optimization framework for efficient and transferable coarse-graining of a model polymer
E Hajizadeh, Z Shireen, H Weeratunge, A Menzel, AW Phillips, R Larson, ...
2022
A multiscale modelling tool linking microstructure to the complete tensile stress-strain response of Ti-6Al-4V
F Azhari, C Wallbrink, Z Sterjovski, BR Crawford, A Menzel, D Agius, ...
Australasian Conference on Computational Mechanics 2021, 2021
2021
A solution to eliminate mesh sensitivities observed in ductility predictions in crystal plasticity finite element models
F Azhari, C Wallbrink, Z Sterjovski, BR Crawford, A Menzel, D Agius, ...
Australasian Congress on Applied Mechanics 2021, 2021
2021
Planar Poiseuille flow of highly confined polymer solutions
A Menzel
RMIT University, 2019
2019
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