Efficient small-cell sampling for machine-learning potentials of multi-principal element alloys
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Yan, Wang, Jiantao, Deng, Hongkun, Sun, Yan, Chen, Xing-Qiu, Liu, Peitao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Efficient moment tensor machine-learning interatomic potential for accurate description of defects in Ni-Al Alloys
por: Wang, Jiantao, et al.
Publicado: (2024)
por: Wang, Jiantao, et al.
Publicado: (2024)
Atomistic mechanisms of phase transitions in all-temperature barocaloric material KPF$_6$
por: Wang, Jiantao, et al.
Publicado: (2025)
por: Wang, Jiantao, et al.
Publicado: (2025)
Diverse polymorphs and phase transitions in van der Waals In$_2$Se$_3$
por: Liu, Mingfeng, et al.
Publicado: (2025)
por: Liu, Mingfeng, et al.
Publicado: (2025)
Layer-by-layer phase transformation in Ti$_3$O$_5$ revealed by machine learning molecular dynamics simulations
por: Liu, Mingfeng, et al.
Publicado: (2023)
por: Liu, Mingfeng, et al.
Publicado: (2023)
Short-range order and its impacts on the BCC NbMoTaW multi-principal element alloy by the machine-learning potential
por: Santos-Florez, Pedro A., et al.
Publicado: (2022)
por: Santos-Florez, Pedro A., et al.
Publicado: (2022)
Ubiquitous short-range order in multi-principal element alloys
por: Han, Ying, et al.
Publicado: (2024)
por: Han, Ying, et al.
Publicado: (2024)
Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning
por: Shuang, Fei, et al.
Publicado: (2024)
por: Shuang, Fei, et al.
Publicado: (2024)
General-purpose machine-learned potential for 16 elemental metals and their alloys
por: Song, Keke, et al.
Publicado: (2023)
por: Song, Keke, et al.
Publicado: (2023)
Electric field tunable non-linear Hall terahertz detector in Dual quantum spin Hall insulator $\text{TaIrTe}_4$
por: Lai, Junwen, et al.
Publicado: (2024)
por: Lai, Junwen, et al.
Publicado: (2024)
Origin of the charge density wave state in BaFe$_2$Al$_9$
por: Li, Yuping, et al.
Publicado: (2024)
por: Li, Yuping, et al.
Publicado: (2024)
Current progress in corrosion of multi principal element alloys
por: Ghorbani, M., et al.
Publicado: (2024)
por: Ghorbani, M., et al.
Publicado: (2024)
Quantum Delocalization Enables Water Dissociation on Ru(0001)
por: Cao, Yu, et al.
Publicado: (2024)
por: Cao, Yu, et al.
Publicado: (2024)
A simple model for short-range ordering kinetics in multi-principal element alloys
por: Abu-Odeh, Anas, et al.
Publicado: (2024)
por: Abu-Odeh, Anas, et al.
Publicado: (2024)
$d$-Wave Flat Fermi Surface in Altermagnets Enables Maximum Charge-to-Spin Conversion
por: Lai, Junwen, et al.
Publicado: (2025)
por: Lai, Junwen, et al.
Publicado: (2025)
A survey of energies from pure metals to multi-principal element alloys
por: Chen, Ruitian, et al.
Publicado: (2024)
por: Chen, Ruitian, et al.
Publicado: (2024)
Nine-element machine-learned interatomic potentials for multiphase refractory alloys
por: Byggmästar, Jesper, et al.
Publicado: (2026)
por: Byggmästar, Jesper, et al.
Publicado: (2026)
Accelerating spin Hall conductivity predictions via machine learning
por: Jinbin Zhao, et al.
Publicado: (2024)
por: Jinbin Zhao, et al.
Publicado: (2024)
Diffusion coefficients of multi-principal element alloys from first principles
por: Lee, Damien K. J., et al.
Publicado: (2026)
por: Lee, Damien K. J., et al.
Publicado: (2026)
Temperature-dependent discovery of BCC refractory multi-principal element alloys: Integrating deep learning and CALPHAD calculations
por: Shargh, A. K., et al.
Publicado: (2024)
por: Shargh, A. K., et al.
Publicado: (2024)
Néel vector-dependent anomalous transport in altermagnetic metal CrSb
por: Yu, Tianye, et al.
Publicado: (2024)
por: Yu, Tianye, et al.
Publicado: (2024)
Uncertainty-aware phase fraction prediction and active-learning-guided out-of-domain discovery of refractory multi-principal element alloys
por: Shargh, A. K., et al.
Publicado: (2026)
por: Shargh, A. K., et al.
Publicado: (2026)
Exploring the energy landscape of aluminas through machine learning interatomic potential
por: Zhang, Lei, et al.
Publicado: (2024)
por: Zhang, Lei, et al.
Publicado: (2024)
Deformation mechanisms and compressive response of NbTaTiZr alloy via machine learning potentials
por: Liu, Hongyang, et al.
Publicado: (2026)
por: Liu, Hongyang, et al.
Publicado: (2026)
Switchable quantized signal between longitudinal conductance and Hall conductance in dual quantum spin Hall insulator TaIrTe$_4$
por: Lai, Junwen, et al.
Publicado: (2024)
por: Lai, Junwen, et al.
Publicado: (2024)
Ab-initio study of quantum oscillation in altermagnetic and nonmagnetic phases of RuO$_2$
por: Huang, Yingliang, et al.
Publicado: (2024)
por: Huang, Yingliang, et al.
Publicado: (2024)
Capturing short-range order in high-entropy alloys with machine learning potentials
por: Cao, Yifan, et al.
Publicado: (2024)
por: Cao, Yifan, et al.
Publicado: (2024)
Efficient dataset generation for machine learning perovskite alloys
por: Homm, Henrietta, et al.
Publicado: (2025)
por: Homm, Henrietta, et al.
Publicado: (2025)
Tuning chemical short-range order for stainless behavior at reduced chromium concentrations in multi-principal element alloys
por: Blades, W. H., et al.
Publicado: (2024)
por: Blades, W. H., et al.
Publicado: (2024)
Nonlinear optical response in kagome lattice with inversion symmetry breaking
por: Liu, Xiangyang, et al.
Publicado: (2025)
por: Liu, Xiangyang, et al.
Publicado: (2025)
Improving robustness and training efficiency of machine-learned potentials by incorporating short-range empirical potentials
por: Yan, Zihan, et al.
Publicado: (2025)
por: Yan, Zihan, et al.
Publicado: (2025)
The Fe-N system: crystal structure prediction, phase stability, and mechanical properties
por: Bao, Ergen, et al.
Publicado: (2024)
por: Bao, Ergen, et al.
Publicado: (2024)
OptiMat Alloys: a FAIR, living database of multi-principal element alloys enabled by a conversational agent
por: Hu, Yang, et al.
Publicado: (2026)
por: Hu, Yang, et al.
Publicado: (2026)
Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys
por: Shuang, Fei, et al.
Publicado: (2025)
por: Shuang, Fei, et al.
Publicado: (2025)
Experimentally validated and empirically compared machine learning approach for predicting yield strength of additively manufactured multi-principal element alloys from Co-Cr-Fe-Mn-Ni system
por: Chandraker, Abhinav, et al.
Publicado: (2023)
por: Chandraker, Abhinav, et al.
Publicado: (2023)
A collinear-spin machine learned interatomic potential for Fe$_{7}$Cr$_{2}$Ni alloy
por: Shenoy, Lakshmi, et al.
Publicado: (2023)
por: Shenoy, Lakshmi, et al.
Publicado: (2023)
Understanding the phase stability in multi-principal-component AlCuFeMn alloy
por: Swarnakar, Palash, et al.
Publicado: (2024)
por: Swarnakar, Palash, et al.
Publicado: (2024)
Hydrogen diffusion in the lower mantle revealed by machine learning potentials
por: Peng, Yihang, et al.
Publicado: (2023)
por: Peng, Yihang, et al.
Publicado: (2023)
Revealing the impact of chemical short-range order on radiation damage in MoNbTaVW high-entropy alloys using a machine-learning potential
por: Liu, Jiahui, et al.
Publicado: (2025)
por: Liu, Jiahui, et al.
Publicado: (2025)
Polynomial machine learning potential and its application to global structure search in the ternary Cu-Ag-Au alloy
por: Seko, Atsuto
Publicado: (2024)
por: Seko, Atsuto
Publicado: (2024)
Machine-learned potential for amorphous Indium-Tin-Oxide alloys
por: Guo, Shuaiyang, et al.
Publicado: (2026)
por: Guo, Shuaiyang, et al.
Publicado: (2026)
Ejemplares similares
-
Efficient moment tensor machine-learning interatomic potential for accurate description of defects in Ni-Al Alloys
por: Wang, Jiantao, et al.
Publicado: (2024) -
Atomistic mechanisms of phase transitions in all-temperature barocaloric material KPF$_6$
por: Wang, Jiantao, et al.
Publicado: (2025) -
Diverse polymorphs and phase transitions in van der Waals In$_2$Se$_3$
por: Liu, Mingfeng, et al.
Publicado: (2025) -
Layer-by-layer phase transformation in Ti$_3$O$_5$ revealed by machine learning molecular dynamics simulations
por: Liu, Mingfeng, et al.
Publicado: (2023) -
Short-range order and its impacts on the BCC NbMoTaW multi-principal element alloy by the machine-learning potential
por: Santos-Florez, Pedro A., et al.
Publicado: (2022)