People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Werner, Konstantin V.
Grenoble Institute of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Methods for improving corrosion and wear resistance and strength of essentially nickel-free high-manganese austenitic stainless steel components
- 2024Recrystallization and mechanical behavior of Co 40 (CrFeNi) 60 medium-entropy alloy
- 2024Efficient ab initio stacking fault energy mapping for dilute interstitial alloyscitations
- 2024Experimental and computational assessment of the temperature dependency of the stacking fault energy in face-centered cubic high-entropy alloyscitations
- 2024Experimental and computational assessment of the temperature dependency of the stacking fault energy in face-centered cubic high-entropy alloyscitations
- 2023Reconciling experimental and theoretical stacking fault energies in face-centered cubic materials with the experimental twinning stresscitations
- 2023Reconciling experimental and theoretical stacking fault energies in face-centered cubic materials with the experimental twinning stresscitations
- 2023Phase Stability and Deformation Modes in Functionally Graded Metastable Austenitic Stainless Steel; A Novel Approach to Evaluate the Role of Nitrogencitations
- 2023Phase Stability and Deformation Modes in Functionally Graded Metastable Austenitic Stainless Steel; A Novel Approach to Evaluate the Role of Nitrogencitations
- 2023Ab initio study of the effect of interstitial alloying on the intrinsic stacking fault energy of paramagnetic gamma-Fe and austenitic stainless steelcitations
- 2023Ab initio study of the effect of interstitial alloying on the intrinsic stacking fault energy of paramagnetic γ-Fe and austenitic stainless steelcitations
- 2022Low Temperature Carburizing of Stainless Steels and the Development of Carbon Expanded Austenite*citations
- 2021Experimental validation of negative stacking fault energies in metastable face-centered cubic materialscitations
- 2019Effect of low temperature carburization of austenitic stainless steels on residual stress and magnetic properties
Places of action
Organizations | Location | People |
---|
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.