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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Maresca, Francesco
University of Groningen
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2024An integrated experimental-numerical study of martensite/ferrite interface damage initiation in dual-phase steelscitations
- 2024Atomistic simulations of structure and motion of twin interfaces reveal the origin of twinning in NiTi shape memory alloyscitations
- 2024Atomistic simulations of structure and motion of twin interfaces reveal the origin of twinning in NiTi shape memory alloyscitations
- 2024Present and future of atomistic simulations of dislocation plasticity
- 2023Predicting dislocation density in martensite ab-initiocitations
- 2022On the impact of lattice parameter accuracy of atomistic simulations on the microstructure of Ni-Ti shape memory alloyscitations
- 2022On the impact of lattice parameter accuracy of atomistic simulations on the microstructure of Ni-Ti shape memory alloyscitations
- 2022Cross-kink unpinning controls the medium-to high-temperature strength of body-centered cubic NbTiZr medium-entropy alloycitations
- 2021Strength can be controlled by edge dislocations in refractory high-entropy alloyscitations
- 2021Revisiting the martensite/ferrite interface damage initiation mechanism: The key role of substructure boundary slidingcitations
- 2020Edge Dislocations Can Control Yield Strength in Refractory Body-Centered-Cubic High Entropy Alloys
- 2020Measurement and prediction of the transformation strain that controls ductility and toughness in advanced steelscitations
- 2020Vanadium is an optimal element for strengthening in both fcc and bcc high-entropy alloyscitations
Places of action
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article
On the impact of lattice parameter accuracy of atomistic simulations on the microstructure of Ni-Ti shape memory alloys
Abstract
Ni-Ti is a key shape memory alloy (SMA) system for applications, being cheap and having good mechanical properties. Recently, atomistic simulations of Ni-Ti SMAs have been used with the purpose of revealing the nano-scale mechanisms that control superelasticity and the shape memory effect, which is crucial to guide alloying or processing strategies to improve materials performance. These atomistic simulations are based on molecular dynamics modelling that relies on (empirical) interatomic potentials. These simulations must reproduce accurately the mechanism of martensitic transformation and the microstructure that it originates, since this controls both superelasticity and the shape memory effect. As demonstrated by the energy minimization theory of martensitic transformations [Ball, James (1987) Archive for Rational Mechanics and Analysis, 100:13], the microstructure of martensite depends on the lattice parameters of the austenite and the martensite phases. Here, we compute the bounds of possible microstructural variations based on the experimental variations/uncertainties in the lattice parameter measurements. We show that both density functional theory and molecular dynamics lattice parameters are typically outside the experimental range, and that seemingly small deviations from this range induce large deviations from the experimental bounds of the microstructural predictions, with notable cases where unphysical microstructures are predicted to form. Therefore, our work points to a strategy for benchmarking and selecting interatomic potentials for atomistic modelling of shape memory alloys, which is crucial to modelling the development of martensitic microstructures and their impact on the shape memory effect.