Vote for your favorite mineral in #MinCup25! - Cuprosklodowskite vs. Ikaite
It's radioactive #cuprosklodowskite vs ephemeral #ikaite for today's match.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Jain, Reliance, Dewangan, Sheetal Kumar, Kumar, Vinod, Samal, Sumanta (2020) Artificial neural network approach for microhardness prediction of eight component FeCoNiCrMnVAlNb eutectic high entropy alloys. Materials Science and Engineering: A, 797. 140059pp. doi:10.1016/j.msea.2020.140059

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleArtificial neural network approach for microhardness prediction of eight component FeCoNiCrMnVAlNb eutectic high entropy alloys
JournalMaterials Science and Engineering: A
AuthorsJain, RelianceAuthor
Dewangan, Sheetal KumarAuthor
Kumar, VinodAuthor
Samal, SumantaAuthor
Year2020 (October)Volume797
PublisherElsevier BV
DOIdoi:10.1016/j.msea.2020.140059Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID13503543Long-form Identifiermindat:1:5:13503543:8
GUID0
Full ReferenceJain, Reliance, Dewangan, Sheetal Kumar, Kumar, Vinod, Samal, Sumanta (2020) Artificial neural network approach for microhardness prediction of eight component FeCoNiCrMnVAlNb eutectic high entropy alloys. Materials Science and Engineering: A, 797. 140059pp. doi:10.1016/j.msea.2020.140059
Plain TextJain, Reliance, Dewangan, Sheetal Kumar, Kumar, Vinod, Samal, Sumanta (2020) Artificial neural network approach for microhardness prediction of eight component FeCoNiCrMnVAlNb eutectic high entropy alloys. Materials Science and Engineering: A, 797. 140059pp. doi:10.1016/j.msea.2020.140059
In(2020) Materials Science and Engineering: A Vol. 797. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Dewangan, Sheetal Kumar, Samal, Sumanta, Kumar, Vinod (2020) Microstructure exploration and an artificial neural network approach for hardness prediction in AlCrFeMnNiWx High-Entropy Alloys. Journal of Alloys and Compounds, 823. 153766pp. doi:10.1016/j.jallcom.2020.153766
Jain, Reliance, Dewangan, Sheetal Kumar, Umre, Priyanka, Kumar, Vinod, Samal, Sumanta (2021) Microstructure Evolution and an ANN Approach for Microhardness Prediction of Suction Cast FeCoNiCrMnVNb Eutectic High-Entropy Alloys. Transactions of the Indian Institute of Metals, 74 (11) 2671-2679 doi:10.1007/s12666-021-02335-1
Dewangan, Sheetal Kumar, Jain, Reliance, Paswan, Manikant, Patel, Arvind, Samal, Sumanta, Kumar, Vinod, Ahn, Byungmin (2024) Exploring Zr Influence on Microstructure and Mechanical Property in FeCoNiCrCuZr Eutectic High-Entropy Alloys. Metals and Materials International, 30 (12). doi:10.1007/s12540-024-01716-7
Jain, Sandeep, Jain, Reliance, Kumar, Vinod, Samal, Sumanta, Lee, Jaichan (2025) Design strategies and mechanical behaviour of high-strength eutectic high-entropy alloys: A comprehensive review. Journal of Alloys and Compounds, 1022. doi:10.1016/j.jallcom.2025.180000
Jain, Reliance; Jain, Sandeep; Nagarjuna, Cheenepalli; Samal, Sumanta; Rananavare, Anuja P.; Dewangan, Sheetal Kumar; Ahn, Byungmin (2025) A Comprehensive Review on Hot Deformation Behavior of High-Entropy Alloys for High Temperature Applications. Metals and Materials International, 31 (8). doi:10.1007/s12540-024-01888-2
Jain, Reliance, Rahul, M R, Samal, Sumanta, Kumar, Vinod, Phanikumar, Gandham (2020) Hot workability of Co–Fe–Mn–Ni–Ti eutectic high entropy alloy. Journal of Alloys and Compounds, 822. 153609pp. doi:10.1016/j.jallcom.2019.153609
Dewangan, Sheetal Kumar, Kumar, Vinod (2022) Application of artificial neural network for prediction of high temperature oxidation behavior of AlCrFeMnNiWx (X = 0, 0.05, 0.1, 0.5) high entropy alloys. International Journal of Refractory Metals and Hard Materials, 103. 105777pp. doi:10.1016/j.ijrmhm.2022.105777
Dewangan, Sheetal Kumar, Sharma, Ashutosh, Lee, Hansung, Kumar, Vinod, Ahn, Byungmin (2023) Prediction of nanoindentation creep behavior of tungsten-containing high entropy alloys using artificial neural network trained with Levenberg–Marquardt algorithm. Journal of Alloys and Compounds, 958. 170359 doi:10.1016/j.jallcom.2023.170359
Jain, Reliance, Rahul, M. R., Jain, Sandeep, Samal, Sumanta, Kumar, Vinod (2018) Phase Evolution and Mechanical Behaviour of Co–Fe–Mn–Ni–Ti Eutectic High Entropy Alloys. Transactions of the Indian Institute of Metals, 71. 2795-2799 doi:10.1007/s12666-018-1437-2
Jain, Sandeep, Kumar, Vinod, Samal, Sumanta (2024) Prediction the effect of ta on the mechanical behaviour and experimental validation of novel six component Fe-co-Ni-Cr-V-ta eutectic high entropy alloys. International Journal of Refractory Metals and Hard Materials, 120. 106572 doi:10.1016/j.ijrmhm.2024.106572
Dewangan, Sheetal Kumar, Kumar, Devesh, Kumar, Vinod, Ahn, Byungmin (2024) Surface oxidation behavior of spark plasma sintered AlCrCuFeMnWx high entropy alloys at an elevated isothermal temperature. International Journal of Refractory Metals and Hard Materials, 119. 106531 doi:10.1016/j.ijrmhm.2023.106531
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 14, 2025 23:25:55
Go to top of page