Enhanced hydrogen embrittlement resistance of FeCoNiCrMn multi-principal element alloys via local chemical ordering and grain boundary segregation
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Hydrogen embrittlement and corrosion behaviors in metals · Nuclear Materials and Properties · High Temperature Alloys and Creep
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (57)
Show source-provided references
1. Local chemical order enables an ultrastrong and ductile high-entropy alloy in a cryogenic environment10.1126/sciadv.adq6398 ↗
2. Metastable high-entropy dual-phase alloys overcome the strength–ductility trade-off10.1038/nature17981 ↗
3. Discovery and design of fatigue-resistant high-entropy alloys10.1016/j.scriptamat.2020.05.047 ↗
4. Corrosion-resistant high-entropy alloys: a review10.3390/met7020043 ↗
5. Beating hydrogen with its own weapon: nano-twin gradients enhance embrittlement resistance of a high-entropy alloy10.1016/j.mattod.2018.07.015 ↗
6. Hydrogen enhances strength and ductility of an equiatomic high-entropy alloy10.1038/s41598-017-10774-4 ↗
7. Hydrogen embrittlement of an interstitial equimolar high-entropy alloy10.1016/j.corsci.2018.03.040 ↗
8. Effect of gaseous hydrogen embrittlement on the mechanical properties of additively manufactured CrMnFeCoNi high-entropy alloy strengthened by in-situ formed oxide10.1016/j.msea.2020.140039 ↗
9. Strong resistance to hydrogen embrittlement of high-entropy alloy10.1016/j.msea.2018.08.101 ↗
10. Influence of pre-strain on the gaseous hydrogen embrittlement resistance of a high-entropy alloy10.1016/j.msea.2018.01.107 ↗
11. Resistance of CoCrFeMnNi high-entropy alloy to gaseous hydrogen embrittlement10.1016/j.scriptamat.2017.03.029 ↗
12. Defeating hydrogen-induced grain-boundary embrittlement via triggering unusual interfacial segregation in FeCrCoNi-type high-entropy alloys10.1016/j.actamat.2022.118410 ↗
13. Swamps of hydrogen in equiatomic FeCuCrMnMo alloys: first-principles calculations10.1016/j.actamat.2019.09.014 ↗
14. First principles study of the effect of hydrogen in austenitic stainless steels and high entropy alloys10.1016/j.actamat.2020.09.070 ↗
15. Machine learning assisted design of FeCoNiCrMn high-entropy alloys with ultra-low hydrogen diffusion coefficients10.1016/j.actamat.2021.117535 ↗
16. Sluggish hydrogen diffusion and hydrogen decreasing stacking fault energy in a high-entropy alloy
17. Hydrogen segregation by local chemical ordering structure in CrCoNi medium-entropy alloys: a first principle study
18. DP-GEN: a concurrent learning platform for the generation of reliable deep learning based potential energy models10.1016/j.cpc.2020.107206 ↗
19. Active learning of uniformly accurate interatomic potentials for materials simulation
20. A deep-neural network potential to study transformation-induced plasticity in zirconia10.1016/j.jeurceramsoc.2024.01.007 ↗
21. Efficient and transferable machine learning potentials for the simulation of crystal defects in bcc Fe and W
22. Calculation of dislocation binding to helium-vacancy defects in tungsten using hybrid ab initio-machine learning methods10.1016/j.actamat.2023.118734 ↗
23. Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials10.1016/j.jcp.2014.12.018 ↗
24. Complex strengthening mechanisms in the NbMoTaW multi-principal element alloy10.1038/s41524-020-0339-0 ↗
25. Data-driven material models for atomistic simulation10.1103/PhysRevB.99.184305 ↗
26. Accuracy and transferability of gaussian approximation potential models for tungsten10.1103/PhysRevB.90.104108 ↗
27. Modeling the phase-change memory material, Ge2Sb2Te5, with a machine-learned interatomic potential10.1021/acs.jpcb.8b06476 ↗
28. Achieving DFT accuracy with a machine-learning interatomic potential: thermomechanics and defects in bcc ferromagnetic iron
29. Machine learning models for predictive materials science from fundamental physics: an application to titanium and zirconium10.1016/j.actamat.2021.117347 ↗
30. Modelling of dislocations, twins and crack-tips in HCP and BCC Ti10.1016/j.ijplas.2023.103644 ↗
31. Formation and strengthening mechanism of ordered interstitial complexes in multi-principle element alloys10.1016/j.actamat.2024.120364 ↗
32. High accuracy neural network interatomic potential for NiTi shape memory alloy10.1016/j.actamat.2022.118217 ↗
33. Strategy to consider element distribution when constructing training datasets for developing machine learning potentials of alloys based on a Monte-Carlo-like method10.1103/PhysRevB.106.094107 ↗
34. Unveiling the mechanism of the carbon ordering and martensite tetragonality in Fe–C alloys studied via deep-potential molecular dynamics simulations
35. DeePMD-kit: a deep learning package for many-body potential energy representation and molecular dynamics10.1016/j.cpc.2018.03.016 ↗
36. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set10.1016/0927-0256(96)00008-0 ↗
37. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set10.1103/PhysRevB.54.11169 ↗
38. Generalized gradient approximation made simple10.1103/PhysRevLett.77.3865 ↗
39. From ultrasoft pseudopotentials to the projector augmented-wave method10.1103/PhysRevB.59.1758 ↗
40. Scalable parallel Monte Carlo algorithm for atomistic simulations of precipitation in alloys10.1103/PhysRevB.85.184203 ↗
41. Mapping materials and molecules10.1021/acs.accounts.0c00403 ↗
42. Machine learning-enabled tomographic imaging of chemical short-range atomic ordering
43. Extracting dislocations and non-dislocation crystal defects from atomistic simulation data10.1088/0965-0393/18/8/085001 ↗
44. Understanding the physical metallurgy of the CoCrFeMnNi high-entropy alloy: an atomistic simulation study10.1038/s41524-017-0060-9 ↗
45. Strengthening in multi-principal element alloys with local-chemical-order roughened dislocation pathways10.1038/s41467-019-11464-7 ↗
46. Ubiquitous short-range order in multi-principal element alloys10.1038/s41467-024-49606-1 ↗
47. Hydrogen-trapping energy in screw and edge dislocations in aluminum: first-principles calculations10.2320/matertrans.MT-M2020375 ↗
48. Vacancy diffusion barrier spectrum and diffusion correlation in multicomponent alloys10.1016/j.actamat.2024.119653 ↗
49. Short-range order localizing diffusion in multi-principal element alloys10.1016/j.scriptamat.2021.114450 ↗
50. Manipulating the ordered oxygen complexes to achieve high strength and ductility in medium-entropy alloys10.1038/s41467-023-36319-0 ↗
51. Enhanced strength and ductility in a high-entropy alloy via ordered oxygen complexes10.1038/s41586-018-0685-y ↗
52. The hierarchical energy landscape of screw dislocation motion in refractory high-entropy alloys10.1016/j.actamat.2022.118022 ↗
53. Hydrogen-assisted decohesion and localized plasticity in dual-phase steel10.1016/j.actamat.2014.01.048 ↗
54. Atomic-scale investigation of deep hydrogen trapping in NbC/α-Fe semi-coherent interfaces10.1016/j.actamat.2020.09.031 ↗
55. Hydrogen embrittlement in compositionally complex FeNiCoCrMn FCC solid solution alloy10.1016/j.cossms.2017.11.002 ↗
56. Local chemical ordering coordinated thermal stability of nanograined high-entropy alloys10.1007/s12598-022-02194-9 ↗
57. Enhanced hydrogen embrittlement resistance via Cr segregation in nanocrystalline Fe–Cr alloys10.1007/s40195-023-01603-x ↗