journal article·2025-08

Understanding the synergistic Co-Mo effect in maraging steels: redistribution of solute atoms

Jong-Kwan Lee, Seon-Gyu Kim, Donghwa Lee, Byeong-Joo Lee

Acta Materialia· Volume 294
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Abstract

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Research context

OpenAlex topics: Microstructure and Mechanical Properties of Steels · Hydrogen embrittlement and corrosion behaviors in metals · Advanced Materials Characterization Techniques

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References (37)

Show source-provided references
1. A short review on ultra-high-strength maraging steels and future perspectives10.1590/1980-5373-mr-2020-0470 ↗
2. Current research and developments in welding of 18% nickel maraging steel
3. The physical metallurgy maraging steels10.1179/imr.1968.13.1.115 ↗
4. The properties and applications of 18% nickel maraging steels10.1080/10667857.1994.11785084 ↗
5. Garrison · 2016
6. Problems in the load-carrying application of high-stength steels
7. Strength and toughness of Fe-10Ni alloys containing C, Cr, Mo, and Co10.1007/BF02649630 ↗
8. Phase chemistry and precipitation reactions in maraging steels: part IV . Discussion and conclusions10.1007/BF02668193 ↗
9. Sha · 2009
10. The role of alloy composition in the precipitation behaviour of high speed steels10.1016/0956-7151(92)90116-V ↗
11. Effect of cobalt on precipitation in Fe-Cr-Co-Mo-Ni-C stainless steels10.1016/j.matlet.2021.129439 ↗
12. Embedded-atom method: derivation and application to impurities, surfaces, and other defects in metals10.1103/PhysRevB.29.6443 ↗
13. Modified embedded-atom potentials for cubic materials and impurities10.1103/PhysRevB.46.2727 ↗
14. The ReaxFF reactive force- field: development, applications and future directions10.1038/npjcompumats.2015.11 ↗
15. Perspective: machine learning potentials for atomistic simulations
16. Machine learning interatomic potentials as emerging tools for materials science10.1002/adma.201902765 ↗
17. Machine-learning interatomic potentials for materials science10.1016/j.actamat.2021.116980 ↗
18. Physically informed artificial neural networks for atomistic modeling of materials10.1038/s41467-019-10343-5 ↗
19. Development of a general-purpose machine-learning interatomic potential for aluminum by the physically informed neural network method
20. Gaussian approximation potentials: the accuracy of quantum mechanics, without the electrons10.1103/PhysRevLett.104.136403 ↗
21. Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials10.1016/j.jcp.2014.12.018 ↗
22. A universal graph deep learning interatomic potential for the periodic table10.1038/s43588-022-00349-3 ↗
23. MACE: higher order equivariant message passing neural networks for fast and accurate force fields
24. CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling10.1038/s42256-023-00716-3 ↗
25. Some observations on the strength and toughness of maraging steels
26. Ab initio molecular-dynamics simulation of the liquid-metal-amorphous-semiconductor transition in germanium10.1103/PhysRevB.49.14251 ↗
27. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set10.1016/0927-0256(96)00008-0 ↗
28. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set10.1103/PhysRevB.54.11169 ↗
29. Projector augmented-wave method10.1103/PhysRevB.50.17953 ↗
30. Generalized gradient approximation made simple10.1103/PhysRevLett.77.3865 ↗
31. Special points for Brillouin-zone integrations10.1103/PhysRevB.13.5188 ↗
32. Generalized neural-network representation of high-dimensional potential-energy surfaces10.1103/PhysRevLett.98.146401 ↗
33. Parallel multistream training of high-dimensional neural network potentials10.1021/acs.jctc.8b01092 ↗
34. LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales10.1016/j.cpc.2021.108171 ↗
35. A novel high-entropy alloy with multi-strengthening mechanisms: activation of TRIP effect in C-doped high-entropy alloy10.1016/j.msea.2022.144220 ↗
36. Influences of Co addition and austenitizing temperature on secondary hardening and impact fracture behavior in P/M high speed steels of W-Mo-Cr-V(-Co) system10.1016/j.msea.2007.04.014 ↗
37. Cementite-free martensitic steels: a new route to develop high strength/high toughness grades by modifying the conventional precipitation sequence during tempering10.1016/j.actamat.2012.07.030 ↗