Review: machine learning in high-entropy alloys-transformative potential and innovative application
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OpenAlex topics: High Entropy Alloys Studies · Additive Manufacturing Materials and Processes · High-Temperature Coating Behaviors
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References (100+)
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1. Yeh JW, Chen SK, Lin SJ et al (2004) Adv Eng Mater 6:299. https://doi.org/10.1002/adem.20030056710.1002/adem.200300567 ↗
2. Huang PK, Yeh JW, Shun TT, Chen SK (2004) Adv Eng Mater 6:74. https://doi.org/10.1002/adem.20030050710.1002/adem.200300507 ↗
3. George EP, Raabe D, Ritchie RO (2019) Nat Rev Mater 4:51510.1038/s41578-019-0121-4 ↗
4. Han L, Zhu S, Rao Z et al (2024) Nat Rev Mater 9:846. https://doi.org/10.1038/s41578-024-00720-y10.1038/s41578-024-00720-y ↗
5. Guo H, Li B, Yan P, Wu Z, Li F, Liu Z (2022) Surf Coat Technol 449:128977. https://doi.org/10.1016/j.surfcoat.2022.12897710.1016/j.surfcoat.2022.128977 ↗
6. Gludovatz B, Hohenwarter A, Catoor D, Chang EH, George EP, Ritchie RO (2014) Science 345:1153. https://doi.org/10.1126/science.125458110.1126/science.1254581 ↗
7. Skrabalak SE (2018) Science 359:1467. https://doi.org/10.1126/science.aat147110.1126/science.aat1471 ↗
8. Liu D, Yu Q, Kabra S et al (2022) Science 378:978. https://doi.org/10.1126/science.abp807010.1126/science.abp8070 ↗
9. Li Z, Pradeep KG, Deng Y, Raabe D, Tasan CC (2016) Nature 534:227. https://doi.org/10.1038/nature1798110.1038/nature17981 ↗
10. Ren J, Zhang Y, Zhao D et al (2022) Nature 608:62. https://doi.org/10.1038/s41586-022-04914-810.1038/s41586-022-04914-8 ↗
11. Jiang B, Wang W, Liu S et al (2022) Science 377:208. https://doi.org/10.1126/science.abq581510.1126/science.abq5815 ↗
12. Rao Z, Tung P-Y, Xie R et al (2022) Science 378:78. https://doi.org/10.1126/science.abo494010.1126/science.abo4940 ↗
13. Zeng Y, Ouyang B, Liu J et al (2022) Science 378:1320. https://doi.org/10.1126/science.abq134610.1126/science.abq1346 ↗
14. Han L, Maccari F, Souza Filho IR et al (2022) Nature 608:310. https://doi.org/10.1038/s41586-022-04935-310.1038/s41586-022-04935-3 ↗
15. Zhang R, Wang C, Zou P et al (2022) Nature 610:67. https://doi.org/10.1038/s41586-022-05115-z10.1038/s41586-022-05115-z ↗
16. He QF, Wang JG, Chen HA et al (2022) Nature 602:251. https://doi.org/10.1038/s41586-021-04309-110.1038/s41586-021-04309-1 ↗
17. Zhang R, Zhao S, Ding J et al (2020) Nature 581:283. https://doi.org/10.1038/s41586-020-2275-z10.1038/s41586-020-2275-z ↗
18. Gorr B, Azim M, Christ HJ, Mueller T, Schliephake D, Heilmaier M (2015) J Alloy Compd 624:270. https://doi.org/10.1016/j.jallcom.2014.11.01210.1016/j.jallcom.2014.11.012 ↗
19. Guo H, Li B, Yan P et al (2023) Surf Coat Technol 457:129302. https://doi.org/10.1016/j.surfcoat.2023.12930210.1016/j.surfcoat.2023.129302 ↗
20. Praveen S, Kim HS (2018) Adv Eng Mater 20:1700645. https://doi.org/10.1002/adem.20170064510.1002/adem.201700645 ↗
21. Yan X, Zhang Y (2020) Scripta Mater 187:188. https://doi.org/10.1016/j.scriptamat.2020.06.01710.1016/j.scriptamat.2020.06.017 ↗
22. Wang X, Guo W, Fu Y (2021) J Mater Chem A 9:663. https://doi.org/10.1039/D0TA09601F10.1039/D0TA09601F ↗
23. Yao Z, Chen Y, Wang X et al (2025) Nat Commun 16:148. https://doi.org/10.1038/s41467-024-55627-710.1038/s41467-024-55627-7 ↗
24. Kumar N, Biswas K, Yeah JW, Sharma S, Tiwary CS (2021) Nano Energy 88:106261. https://doi.org/10.1016/j.nanoen.2021.10626110.1016/j.nanoen.2021.106261 ↗
25. Nellaiappan S, Katiyar NK, Kumar R et al (2020) ACS Catal 10:3658. https://doi.org/10.1021/acscatal.9b0430210.1021/acscatal.9b04302 ↗
26. Goud D, Sarkar M, Kopperi H et al (2025). Adv Mater n/a. https://doi.org/10.1002/adma.20250418010.1002/adma.202504180 ↗
27. Zhang R, Xue H, Du D et al (2025). Adv Funct Mater. https://doi.org/10.1002/adfm.20242221810.1002/adfm.202422218 ↗
28. LeCun Y, Bengio Y, Hinton G (2015) Nature 521:436. https://doi.org/10.1038/nature1453910.1038/nature14539 ↗
29. Liu X, Zhang J, Pei Z (2023) Prog Mater Sci 131:101018. https://doi.org/10.1016/j.pmatsci.2022.10101810.1016/j.pmatsci.2022.101018 ↗
30. Park CW, Kornbluth M, Vandermause J, Wolverton C, Kozinsky B, Mailoa JP (2021). npj Comput Mater. https://doi.org/10.1038/s41524-021-00543-310.1038/s41524-021-00543-3 ↗
31. Nyshadham C, Rupp M, Bekker B et al (2019) npj Comput Mater 5:51. https://doi.org/10.1038/s41524-019-0189-910.1038/s41524-019-0189-9 ↗
32. Deringer VL, Bernstein N, Csányi G et al (2021) Nature 589:59. https://doi.org/10.1038/s41586-020-03072-z10.1038/s41586-020-03072-z ↗
33. Guo H, Yan P, Wu Z et al (2023) Tribol Int 182:108352. https://doi.org/10.1016/j.triboint.2023.10835210.1016/j.triboint.2023.108352 ↗
34. Li XG, Chen C, Zheng H, Zuo Y, Ong SP (2020) npj Comput Mater 6:70. https://doi.org/10.1038/s41524-020-0339-010.1038/s41524-020-0339-0 ↗
35. Yin S, Zuo Y, Abu-Odeh A et al (2021) Nat Commun 12:4873. https://doi.org/10.1038/s41467-021-25134-010.1038/s41467-021-25134-0 ↗
36. Oh HS, Kim SJ, Odbadrakh K et al (2019) Nat Commun 10:2090. https://doi.org/10.1038/s41467-019-10012-710.1038/s41467-019-10012-7 ↗
37. Rickman JM, Chan HM, Harmer MP et al (2019) Nat Commun 10:2618. https://doi.org/10.1038/s41467-019-10533-110.1038/s41467-019-10533-1 ↗
38. Ha M-Q, Nguyen D-N, Nguyen V-C et al (2021) Nat Comput Sci 1:470. https://doi.org/10.1038/s43588-021-00097-w10.1038/s43588-021-00097-w ↗
39. Singh R, Sharma A, Singh P, Balasubramanian G, Johnson DD (2021) Nat Comput Sci 1:54. https://doi.org/10.1038/s43588-020-00006-710.1038/s43588-020-00006-7 ↗
40. Hart GLW, Mueller T, Toher C, Curtarolo S (2021) Nat Rev Mater 6:730. https://doi.org/10.1038/s41578-021-00340-w10.1038/s41578-021-00340-w ↗
41. Durodola JF (2022) Prog Mater Sci 123:100797. https://doi.org/10.1016/j.pmatsci.2021.10079710.1016/j.pmatsci.2021.100797 ↗
42. Raabe D, Mianroodi JR, Neugebauer J (2023) Nat Comput Sci 3:198. https://doi.org/10.1038/s43588-023-00412-710.1038/s43588-023-00412-7 ↗
43. Gong S, Zhang Y, Mu Z et al (2025). Nat Mach Intell. https://doi.org/10.1038/s42256-025-01009-710.1038/s42256-025-01009-7 ↗
44. Griesemer SD, Xia Y, Wolverton C (2023) Nat Comput Sci 3:934. https://doi.org/10.1038/s43588-023-00536-w10.1038/s43588-023-00536-w ↗
45. Kamnis S, Delibasis K (2025) Sci Rep 15:11861. https://doi.org/10.1038/s41598-025-95170-z10.1038/s41598-025-95170-z ↗
46. Yang X, Zhang Y (2012) Mater Chem Phys 132:233. https://doi.org/10.1016/j.matchemphys.2011.11.02110.1016/j.matchemphys.2011.11.021 ↗
47. Zhang Y, Zhou YJ, Lin JP, Chen GL, Liaw PK (2008) Adv Eng Mater 10:534. https://doi.org/10.1002/adem.20070024010.1002/adem.200700240 ↗
48. Murdoch HA, Schuh CA (2013) Acta Mater 61:2121. https://doi.org/10.1016/j.actamat.2012.12.03310.1016/j.actamat.2012.12.033 ↗
49. Chookajorn T, Schuh CA (2014) Phys Rev B 89:064102. https://doi.org/10.1103/PhysRevB.89.06410210.1103/PhysRevB.89.064102 ↗
50. Chookajorn T, Murdoch HA, Schuh CA (2012) Science 337:951. https://doi.org/10.1126/science.122473710.1126/science.1224737 ↗
51. Cheng C, Feng R, Haché MJR, Zhang X, Zou Y (2023) Mater Today Nano 24:100403. https://doi.org/10.1016/j.mtnano.2023.10040310.1016/j.mtnano.2023.100403 ↗
52. Cheng C, Feng R, Lyu T, Zou Y (2024) Adv Mater 36:240363210.1002/adma.202403632 ↗
53. Moorehead M, Nelaturu P, Elbakhshwan M et al (2021) J Nucl Mater 547:152782. https://doi.org/10.1016/j.jnucmat.2021.15278210.1016/j.jnucmat.2021.152782 ↗
54. Yao HW, Qiao JW, Hawk JA, Zhou HF, Chen MW, Gao MC (2017) J Alloy Compd 696:1139. https://doi.org/10.1016/j.jallcom.2016.11.18810.1016/j.jallcom.2016.11.188 ↗
55. Senkov ON, Scott JM, Senkova SV, Miracle DB, Woodward CF (2011) J Alloy Compd 509:6043. https://doi.org/10.1016/j.jallcom.2011.02.17110.1016/j.jallcom.2011.02.171 ↗
56. Yang S, Lu J, Xing F, Zhang L, Zhong Y (2020) Acta Mater 192:11. https://doi.org/10.1016/j.actamat.2020.03.03910.1016/j.actamat.2020.03.039 ↗
57. Li S, Li S, Liu D, Zou R, Yang Z (2022) Comput Mater Sci 205:111185. https://doi.org/10.1016/j.commatsci.2022.11118510.1016/j.commatsci.2022.111185 ↗
58. Otto F, Dlouhý A, Somsen C, Bei H, Eggeler G, George EP (2013) Acta Mater 61:5743. https://doi.org/10.1016/j.actamat.2013.06.01810.1016/j.actamat.2013.06.018 ↗
59. Yoshida S, Ikeuchi T, Bhattacharjee T, Bai Y, Shibata A, Tsuji N (2019) Acta Mater 171:201. https://doi.org/10.1016/j.actamat.2019.04.01710.1016/j.actamat.2019.04.017 ↗
60. Zou Y, Maiti S, Steurer W, Spolenak R (2014) Acta Mater 65:85. https://doi.org/10.1016/j.actamat.2013.11.04910.1016/j.actamat.2013.11.049 ↗
61. Kube SA, Sohn S, Uhl D, Datye A, Mehta A, Schroers J (2019) Acta Mater 166:677. https://doi.org/10.1016/j.actamat.2019.01.02310.1016/j.actamat.2019.01.023 ↗
62. Zhao Q, Li J, Fang Q, Feng H (2019) Physica B 566:30. https://doi.org/10.1016/j.physb.2019.04.02510.1016/j.physb.2019.04.025 ↗
63. Gao Y, Qiao L, Wu D, Zhang Y, Zou Y (2020) Vacuum 179:109459. https://doi.org/10.1016/j.vacuum.2020.10945910.1016/j.vacuum.2020.109459 ↗
64. Ghosh S, Sotskov V, Shapeev AV, Neugebauer J, Körmann F (2022) Phys Rev Mater 6:113804. https://doi.org/10.1103/PhysRevMaterials.6.11380410.1103/PhysRevMaterials.6.113804 ↗
65. Miracle DB, Senkov ON (2017) Acta Mater 122:44810.1016/j.actamat.2016.08.081 ↗
66. Karati A, Guruvidyathri K, Hariharan VS, Murty BS (2019) Scripta Mater 162:465. https://doi.org/10.1016/j.scriptamat.2018.12.01710.1016/j.scriptamat.2018.12.017 ↗
67. Körmann F, Kostiuchenko T, Shapeev A, Neugebauer J (2021) Phys Rev Mater 5:05380310.1103/PhysRevMaterials.5.053803 ↗
68. Guo Q, Xu X, Pei X et al (2023) J Market Res 22:3331. https://doi.org/10.1016/j.jmrt.2022.12.14310.1016/j.jmrt.2022.12.143 ↗
69. Sun Y, Dai S (2021). Sci Adv. https://doi.org/10.1126/sciadv.abg160010.1126/sciadv.abg1600 ↗
70. Behler J, Parrinello M (2007) Phys Rev Lett 98:14640110.1103/PhysRevLett.98.146401 ↗
71. Li X, Li W, Irving DL, Varga LK, Vitos L, Schönecker S (2020) Acta Mater 189:174. https://doi.org/10.1016/j.actamat.2020.03.00410.1016/j.actamat.2020.03.004 ↗
72. Guo S, Ng C, Lu J, Liu CT (2011) J Appl Phys 109:103505. https://doi.org/10.1063/1.358722810.1063/1.3587228 ↗
73. Byggmästar J, Nordlund K, Djurabekova F (2021) Phys Rev B 104:104101. https://doi.org/10.1103/PhysRevB.104.10410110.1103/PhysRevB.104.104101 ↗
74. Balyakin IA, Yuryev AA, Gelchinski BR, Rempel AA (2020) J Phys Condens Matter 32:214006. https://doi.org/10.1088/1361-648X/ab6f8710.1088/1361-648X/ab6f87 ↗
75. Liu X, Zhang J, Yin J, Bi S, Eisenbach M, Wang Y (2021) Comput Mater Sci 187:110135. https://doi.org/10.1016/j.commatsci.2020.11013510.1016/j.commatsci.2020.110135 ↗
76. Zhang J, Liu X, Bi S, Yin J, Zhang G, Eisenbach M (2020) Mater Des 185:108247. https://doi.org/10.1016/j.matdes.2019.10824710.1016/j.matdes.2019.108247 ↗
77. Fung V, Zhang J, Juarez E, Sumpter BG (2021) npj Comput Mater 7:84. https://doi.org/10.1038/s41524-021-00554-010.1038/s41524-021-00554-0 ↗
78. De S, Bartók AP, Csányi G, Ceriotti M (2016) Phys Chem Chem Phys 18:13754. https://doi.org/10.1039/C6CP00415F10.1039/C6CP00415F ↗
79. Gilmer J, Schoenholz SS, Riley PF, Vinyals O, Dahl GE (2017) International conference on machine learningPMLR
80. Lubbers N, Smith JS, Barros K (2018). J Chem Phys. https://doi.org/10.1063/1.501118110.1063/1.5011181 ↗
81. Thompson AP, Swiler LP, Trott CR, Foiles SM, Tucker GJ (2015) J Comput Phys 285:31610.1016/j.jcp.2014.12.018 ↗
82. Drautz R (2019) Phys Rev B 99:01410410.1103/PhysRevB.99.014104 ↗
83. García-Negrete CA, Jiménez MC, de Haro J, Blasco MS, Fernández A (2015) Analyst 140:3082. https://doi.org/10.1039/c4an01643b10.1039/c4an01643b ↗
84. Zhang YA, Yue Y Simulation and Calculation for Predicting Structures and Properties of High-Entropy Alloys, in: Zhang YA (Ed.) High Entropy Materials - Microstructures and Properties, IntechOpen, Rijeka (2022)10.5772/intechopen.105963 ↗
85. Gorsse S, Tancret F (2018) J Mater Res 33:2899. https://doi.org/10.1557/jmr.2018.15210.1557/jmr.2018.152 ↗
86. Müller-Buschbaum P (2009) Applications of synchrotron light to scattering and diffraction in materials and life sciences. Springer, Berlin
87. Pei Z, Yin J, Hawk JA, Alman DE, Gao MC (2020). npj Comput Mater. https://doi.org/10.1038/s41524-020-0308-710.1038/s41524-020-0308-7 ↗
88. Chen C, Zuo Y, Ye W, Li X, Ong SP (2021) Nat Comput Sci 1:46. https://doi.org/10.1038/s43588-020-00002-x10.1038/s43588-020-00002-x ↗
89. Gasteiger J, Groß J, Günnemann S (2020) arXiv preprint arXiv:2003.03123.
90. Fan Q, Gan K, Yan D, Li Z (2022) Mater Sci Eng A 856:143988. https://doi.org/10.1016/j.msea.2022.14398810.1016/j.msea.2022.143988 ↗
91. Sathiyamoorthi P, Basu J, Kashyap S, Pradeep KG, Kottada RS (2017) Mater Des 134:426. https://doi.org/10.1016/j.matdes.2017.08.05310.1016/j.matdes.2017.08.053 ↗
92. Erdogan A, Döleker KM, Zeytin S (2020) Surf Coat Technol 399:126179. https://doi.org/10.1016/j.surfcoat.2020.12617910.1016/j.surfcoat.2020.126179 ↗
93. Phani PS, Oliver WC (2019) Mater Design 164:107563. https://doi.org/10.1016/j.matdes.2018.10756310.1016/j.matdes.2018.107563 ↗
94. Cheng C, Feng R, Lyu T, Zou Y (2024) Adv Mater 36:2403632. https://doi.org/10.1002/adma.20240363210.1002/adma.202403632 ↗
95. Hruška P, Lukáč F, Cichoň S et al (2021) J Alloy Compd 869:157978. https://doi.org/10.1016/j.jallcom.2020.15797810.1016/j.jallcom.2020.157978 ↗
96. Zou Y, Okle P, Yu H et al (2017) Scripta Mater 128:95. https://doi.org/10.1016/j.scriptamat.2016.09.03610.1016/j.scriptamat.2016.09.036 ↗
97. Zhang L, Qian K, Huang J, Liu M, Shibuta Y (2021) J Market Res 13:2043. https://doi.org/10.1016/j.jmrt.2021.06.02110.1016/j.jmrt.2021.06.021 ↗
98. Ye Z, Li C, Zheng M, Zhang X, Yang X, Gu J (2022) Int J Plast 152:103247. https://doi.org/10.1016/j.ijplas.2022.10324710.1016/j.ijplas.2022.103247 ↗
99. Shi Y, Yang B, Rack PD, Guo S, Liaw PK, Zhao Y (2020) Mater Des 195:109018. https://doi.org/10.1016/j.matdes.2020.10901810.1016/j.matdes.2020.109018 ↗
100. Wu W, Zhou R, Wei B, Ni S, Liu Y, Song M (2018) Mater Charact 144:605. https://doi.org/10.1016/j.matchar.2018.08.01910.1016/j.matchar.2018.08.019 ↗