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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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Nießen, Frank
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (23/23 displayed)
- 2024Efficient ab initio stacking fault energy mapping for dilute interstitial alloyscitations
- 2024Residual Stress Measurement across the Scales
- 2023Reconciling experimental and theoretical stacking fault energies in face-centered cubic materials with the experimental twinning stresscitations
- 2023Aging 17-4 PH martensitic stainless steel prior to hardeningcitations
- 2023Ab initio study of the effect of interstitial alloying on the intrinsic stacking fault energy of paramagnetic γ-Fe and austenitic stainless steelcitations
- 2022High resolution crystal orientation mapping of ultrathin films in SEM and TEMcitations
- 2021Parent grain reconstruction from partially or fully transformed microstructures in MTEX
- 2021Experimental validation of negative stacking fault energies in metastable face-centered cubic materialscitations
- 2021Multiscale in-situ studies of strain-induced martensite formation in inter-critically annealed extra-low-carbon martensitic stainless steelcitations
- 2020Strain, stress and stress relaxation in oxidized ZrCuAl-based bulk metallic glasscitations
- 2020Strain, stress and stress relaxation in oxidized ZrCuAl-based bulk metallic glasscitations
- 2020Evolution of substructure in low-interstitial martensitic stainless steel during temperingcitations
- 2018In-situ analysis of redistribution of carbon and nitrogen during tempering of low interstitial martensitic stainless steelcitations
- 2018Martensite Formation from Reverted Austenite at Sub-zero Celsius Temperaturecitations
- 2018In Situ Investigation of the Evolution of Lattice Strain and Stresses in Austenite and Martensite During Quenching and Tempering of Steelcitations
- 2018Formation and stabilization of reverted austenite in supermartensitic stainless steelcitations
- 2018Phase Transformations in Supermartensitic Stainless Steels
- 2017Kinetics analysis of two-stage austenitization in supermartensitic stainless steelcitations
- 2017Complementary Methods for the Characterization of Corrosion Products on a Plant-Exposed Superheater Tubecitations
- 2017Complementary Methods for the Characterization of Corrosion Products on a Plant-Exposed Superheater Tubecitations
- 2017Formation and stabilization of reversed austenite in supermartensitic stainless steel
- 2017Kinetics modeling of delta-ferrite formation and retainment during casting of supermartensitic stainless steelcitations
- 2016In Situ Techniques for the Investigation of the Kinetics of Austenitization of Supermartensitic Stainless Steelcitations
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article
Efficient ab initio stacking fault energy mapping for dilute interstitial alloys
Abstract
Density Functional Theory (DFT) is the prevalent first principles computational method for determining the stacking fault energy (SFE) of face centered cubic (fcc) metals and alloys. Due to several theoretical and computational challenges, SFE determination for interstitial alloys with alloying elements such as carbon, nitrogen, and hydrogen, has so far been limited to few studies at relatively high interstitial content. We propose a new method, rooted in the axial interaction model, that allows rapid and robust mapping of SFE for virtually arbitrary interstitial contents. Instead of computing the total energy of a very large supercell to represent dilute interstitial solutions, representative interstitial-affected and bulk regions are treated separately at the equivalent volume. The SFE is obtained by balancing the SFE values of the regions with a lever rule approach. The method matches SFE values from the axial interaction model within ≤4 mJ.m−2 error, as validated for non-magnetic fcc Fe-N and paramagnetic fcc Fe-N and AISI 304 alloys. The significantly reduced computational workload and equidistant SFE mapping vs. interstitial content down to extremely low values allows accurate fitting of the SFE vs. interstitial content with only few datapoints. This further improves the computational efficiency. So far DFT-based SFE mapping was limited to purely substitutional alloys; we demonstrate the first-time DFT-based SFE mapping in fcc AISI 304 vs. N and Ni, revealing a non-additive contribution of N and Ni to the SFE. Finally, the remaining challenges and future application for high-throughput DFT SFE computation in interstitial alloys is discussed.