A collinear-spin machine learned interatomic potential for Fe$_{7}$Cr$_{2}$Ni alloy
Fuente:
arXiv
Saved in:
| Main Authors: | Shenoy, Lakshmi, Woodgate, Christopher D., Staunton, Julie B., Bartók, Albert P., Becquart, Charlotte S., Domain, Christophe, Kermode, James R. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
W ACE potentials
by: Nutter, Matthew, et al.
Published: (2025)
by: Nutter, Matthew, et al.
Published: (2025)
Structure, short-range order, and phase stability of the Al$_x$CrFeCoNi high-entropy alloy: Insights from a perturbative, DFT-based analysis
by: Woodgate, Christopher D., et al.
Published: (2024)
by: Woodgate, Christopher D., et al.
Published: (2024)
Integrated ab initio modelling of atomic order and magnetic anisotropy for rare-earth-free magnet design: effects of alloying additions in $\mathrm{L}1_0$ FeNi
by: Woodgate, Christopher D., et al.
Published: (2024)
by: Woodgate, Christopher D., et al.
Published: (2024)
Compositional phase stability in medium-entropy and high-entropy Cantor-Wu alloys from an ab initio all-electron, Landau-type theory and atomistic modelling
by: Woodgate, Christopher D., et al.
Published: (2022)
by: Woodgate, Christopher D., et al.
Published: (2022)
Competition between phase ordering and phase segregation in the Ti$_x$NbMoTaW and Ti$_x$VNbMoTaW refractory high-entropy alloys
by: Woodgate, Christopher D., et al.
Published: (2024)
by: Woodgate, Christopher D., et al.
Published: (2024)
Short-range order and compositional phase stability in refractory high-entropy alloys via first principles theory and atomistic modelling: NbMoTa, NbMoTaW and VNbMoTaW
by: Woodgate, Christopher D., et al.
Published: (2022)
by: Woodgate, Christopher D., et al.
Published: (2022)
Autonomous thermodynamically informed database generation for machine-learned interatomic potentials and application to magnesium
by: Fletcher, Vincent G., et al.
Published: (2025)
by: Fletcher, Vincent G., et al.
Published: (2025)
Loss of altermagnetic order and smooth restoration of Kramers' spin degeneracy with increasing temperature in CrSb and MnTe
by: Woodgate, Christopher D., et al.
Published: (2026)
by: Woodgate, Christopher D., et al.
Published: (2026)
Lattice vacancy migration barriers in Fe-Ni alloys, and why Ni atoms diffuse slowly: An ab initio study
by: Fisher, Adam M., et al.
Published: (2025)
by: Fisher, Adam M., et al.
Published: (2025)
Radiation damage and phase stability of Al$_x$CrCuFeNi$_y$ alloys using a machine-learned interatomic potential
by: Fellman, Aslak, et al.
Published: (2025)
by: Fellman, Aslak, et al.
Published: (2025)
Kink-Helium Interactions in Tungsten: Increased Dislocation Mobility in the Infinitely Dilute Regime
by: Nutter, Matthew, et al.
Published: (2024)
by: Nutter, Matthew, et al.
Published: (2024)
Unsupervised Machine-Learning Pipeline for Data-Driven Defect Detection and Characterisation: Application to Displacement Cascades
by: Del Fré, Samuel, et al.
Published: (2025)
by: Del Fré, Samuel, et al.
Published: (2025)
Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning
by: Radova, Mariia, et al.
Published: (2025)
by: Radova, Mariia, et al.
Published: (2025)
Studies of Ni-Cr complexation in FLiBe molten salt using machine learning interatomic potentials
by: Attarian, Siamak, et al.
Published: (2024)
by: Attarian, Siamak, et al.
Published: (2024)
Nine-element machine-learned interatomic potentials for multiphase refractory alloys
by: Byggmästar, Jesper, et al.
Published: (2026)
by: Byggmästar, Jesper, et al.
Published: (2026)
Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials
by: Noordhoek, Kyle, et al.
Published: (2023)
by: Noordhoek, Kyle, et al.
Published: (2023)
Fine-tuning of universal machine-learning interatomic potentials for 2D high-entropy alloys
by: Zhou, Chun, et al.
Published: (2026)
by: Zhou, Chun, et al.
Published: (2026)
Fast machine learned $α$-Fe-H interatomic potential for hydrogen embrittlement
by: Makkonen, Eetu, et al.
Published: (2025)
by: Makkonen, Eetu, et al.
Published: (2025)
The impact of alloying elements on the precipitation stability and kinetics in iron based alloys: An atomistic study
by: Bonny, Giovanni, et al.
Published: (2025)
by: Bonny, Giovanni, et al.
Published: (2025)
Emergent B2 chemical orderings in the AlTiVNb and AlTiCrMo refractory high-entropy superalloys studied via first-principles theory and atomistic modelling
by: Woodgate, Christopher D., et al.
Published: (2025)
by: Woodgate, Christopher D., et al.
Published: (2025)
Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys
by: Shuang, Fei, et al.
Published: (2025)
by: Shuang, Fei, et al.
Published: (2025)
Knowing when to trust machine-learned interatomic potentials
by: Mehdi, Shams, et al.
Published: (2026)
by: Mehdi, Shams, et al.
Published: (2026)
Platonic representation of foundation machine learning interatomic potentials
by: Li, Zhenzhu, et al.
Published: (2025)
by: Li, Zhenzhu, et al.
Published: (2025)
Cartesian atomic moment machine learning interatomic potentials
by: Wen, Mingjian, et al.
Published: (2024)
by: Wen, Mingjian, et al.
Published: (2024)
Pushing the limits of unconstrained machine-learned interatomic potentials
by: Bigi, Filippo, et al.
Published: (2026)
by: Bigi, Filippo, et al.
Published: (2026)
Benchmarking phonon anharmonicity in machine learning interatomic potentials
by: Bandi, Sasaank, et al.
Published: (2024)
by: Bandi, Sasaank, et al.
Published: (2024)
Fast and accurate machine-learned interatomic potentials for large-scale simulations of Cu, Al and Ni
by: Fellman, Aslak, et al.
Published: (2024)
by: Fellman, Aslak, et al.
Published: (2024)
Fast and accurate Fe-H machine-learning interatomic potential for elucidating hydrogen embrittlement mechanisms
by: Ito, Kazuma
Published: (2025)
by: Ito, Kazuma
Published: (2025)
Bayesian Neural Networks versus deep ensembles for uncertainty quantification in machine learning interatomic potentials
by: Farris, Riccardo, et al.
Published: (2025)
by: Farris, Riccardo, et al.
Published: (2025)
Experiment-driven atomistic materials modeling: A case study combining X-ray photoelectron spectroscopy and machine learning potentials to infer the structure of oxygen-rich amorphous carbon
by: Zarrouk, Tigany, et al.
Published: (2024)
by: Zarrouk, Tigany, et al.
Published: (2024)
Efficient moment tensor machine-learning interatomic potential for accurate description of defects in Ni-Al Alloys
by: Wang, Jiantao, et al.
Published: (2024)
by: Wang, Jiantao, et al.
Published: (2024)
Comparing the latent features of universal machine-learning interatomic potentials
by: Chorna, Sofiia, et al.
Published: (2025)
by: Chorna, Sofiia, et al.
Published: (2025)
The transformative capability of quantum-accurate machine learning interatomic potentials
by: Correa, Alfredo A., et al.
Published: (2025)
by: Correa, Alfredo A., et al.
Published: (2025)
Self-consistent Coulomb interactions for machine learning interatomic potentials
by: Thomas, Jack, et al.
Published: (2024)
by: Thomas, Jack, et al.
Published: (2024)
Cartesian atomic cluster expansion for machine learning interatomic potentials
by: Cheng, Bingqing
Published: (2024)
by: Cheng, Bingqing
Published: (2024)
Lightweight equivariant model for efficient machine learning interatomic potentials
by: Yang, Ziduo, et al.
Published: (2023)
by: Yang, Ziduo, et al.
Published: (2023)
Toward machine learning interatomic potentials for modeling uranium mononitride
by: Alzate-Vargas, Lorena, et al.
Published: (2024)
by: Alzate-Vargas, Lorena, et al.
Published: (2024)
Cross-functional transferability in universal machine learning interatomic potentials
by: Huang, Xu, et al.
Published: (2025)
by: Huang, Xu, et al.
Published: (2025)
Systematic assessment of various universal machine‐learning interatomic potentials
by: Haochen Yu, et al.
Published: (2024)
by: Haochen Yu, et al.
Published: (2024)
Systematic assessment of various universal machine-learning interatomic potentials
by: Yu, Haochen, et al.
Published: (2024)
by: Yu, Haochen, et al.
Published: (2024)
Similar Items
-
W ACE potentials
by: Nutter, Matthew, et al.
Published: (2025) -
Structure, short-range order, and phase stability of the Al$_x$CrFeCoNi high-entropy alloy: Insights from a perturbative, DFT-based analysis
by: Woodgate, Christopher D., et al.
Published: (2024) -
Integrated ab initio modelling of atomic order and magnetic anisotropy for rare-earth-free magnet design: effects of alloying additions in $\mathrm{L}1_0$ FeNi
by: Woodgate, Christopher D., et al.
Published: (2024) -
Compositional phase stability in medium-entropy and high-entropy Cantor-Wu alloys from an ab initio all-electron, Landau-type theory and atomistic modelling
by: Woodgate, Christopher D., et al.
Published: (2022) -
Competition between phase ordering and phase segregation in the Ti$_x$NbMoTaW and Ti$_x$VNbMoTaW refractory high-entropy alloys
by: Woodgate, Christopher D., et al.
Published: (2024)