Page 27 - Read Online

Zhou et al. J Mater Inf 2022;2:18 https://dx.doi.org/10.20517/jmi.2022.27 Page 21 of 21

114. Wen C, Zhang Y, Wang C et al. Machine learning assisted design of high entropy alloys with desired property. Acta Mater
2019;170:109-17. DOI
115. Yang C, Ren C, Jia Y, Wang G, Li M, Lu W. A machine learning-based alloy design system to facilitate the rational design of high
entropy alloys with enhanced hardness. Acta Mater 2022;222:117431. DOI
116. Bhandari U, Rafi MR, Zhang C, Yang S. Yield strength prediction of high-entropy alloys using machine learning. Mater Today
Commun 2021;26:101871. DOI
117. Zhang B, Li Y, Bai Q. Defect formation mechanisms in selective laser melting: a review. Chin J Mech Eng 2017;30:515-27. DOI
118. Zhou Y, Zhang Z, Wang Y et al. Selective laser melting of typical metallic materials: an effective process prediction model developed
by energy absorption and consumption analysis. Addit Manuf 2019;25:204-17. DOI
119. Xiong W. Additive manufacturing as a tool for high-throughput experimentation. J Mater Inf 2022;2:12. DOI
120. Westphal E, Seitz H. A machine learning method for defect detection and visualization in selective laser sintering based on
convolutional neural networks. Addit Manuf 2021;41:101965. DOI
121. Chen Y, Wang H, Wu Y, Wang H. Predicting the printability in selective laser melting with a supervised machine learning method.
Materials 2020;13:5063. DOI PubMed PMC
122. Park HS, Nguyen DS, Le-Hong T, Van Tran X. Machine learning-based optimization of process parameters in selective laser melting
for biomedical applications. J Intell Manuf 2022;33:1843-58. DOI
123. Zheng L, Schmitz G, Meng Y, Chellali R, Schlesiger R. Mechanism of intermediate temperature embrittlement of Ni and Ni-based
superalloys. Crit Rev Solid State Mater Sci 2012;37:181-214. DOI
124. Yang T, Zhao Y, Fan L et al. Control of nanoscale precipitation and elimination of intermediate-temperature embrittlement in
multicomponent high-entropy alloys. Acta Mater 2020;189:47-59. DOI
125. Cao B, Wei D, Zhang X et al. Intermediate temperature embrittlement in a precipitation-hardened high-entropy alloy: the role of
heterogeneous strain distribution and environmentally assisted intergranular damage. Mater Today Phys 2022;24:100653. DOI
126. Tong Z, Liu H, Jiao J, Zhou W, Yang Y, Ren X. Laser additive manufacturing of CrMnFeCoNi high entropy alloy: microstructural
evolution, high-temperature oxidation behavior and mechanism. Opt Laser Technol 2020;130:106326. DOI
127. Zhong X, Gallagher B, Liu S, Kailkhura B, Hiszpanski A, Han T. Explainable machine learning in materials science. NPJ Comput
Mater 2022;8:1-19. DOI