High strength aluminum alloys design via explainable artificial intelligence-Reference-Cited by-同舟云学术

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High strength aluminum alloys design via explainable artificial intelligence

Published:2022-05 Issue: Volume:903 Page:163828
ISSN:0925-8388
Container-title:Journal of Alloys and Compounds
language:en
Short-container-title:Journal of Alloys and Compounds

Author:

Park Seobin,Kayani Saif Haider,Euh Kwangjun,Seo Eunhyeok,Kim Hayeol,Park Sangeun,Yadav Bishnu Nand,Park Seong Jin,Sung Hyokyung,Jung Im Doo

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Publisher

Elsevier BV

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Reference90 articles.

1. Artificial intelligence for the prediction of tensile properties by using microstructural parameters in high strength steels;Jung;Materialia,2020

2. Aluminium alloys as structural material: a review of research;Georgantzia;Eng. Struct.,2021

3. Transmission electron microscopy investigation of separated nucleation and in-situ nucleation in AA7050 aluminium alloy;Chung;Acta Mater.,2018

4. Atomic-resolution energy dispersive X-ray spectroscopy mapping of η precipitates in an Al-Mg-Zn-Cu alloy;Chung;Mater. Charact.,2020

5. An atomic scale structural investigation of nanometre-sized η precipitates in the 7050 aluminium alloy;Chung;Acta Mater.,2019

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3. ASaRE-Net: automatic information extraction from Al-Si alloy materials science literature for corpus construction;Journal of Materials Science;2024-08

4. An improved extreme learning machine model for predicting the mechanical property of AZ80 magnesium alloy;Applied Physics A;2024-07-25

5. Heat-resistant aluminum alloy design using explainable machine learning;Materials & Design;2024-07

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