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Machine learning guided discovery of super-hard high entropy ceramics
Materials Letters
◽
10.1016/j.matlet.2021.130899
◽
2021
◽
pp. 130899
Author(s):
Russlan Jaafreh
◽
Yoo Seong Kang
◽
Jung-Gu Kim
◽
Kotiba Hamad
Keyword(s):
Machine Learning
◽
Guided Discovery
◽
High Entropy
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Molecular dynamics simulation and machine learning of mechanical response in non-equiatomic FeCrNiCoMn high entropy alloy
Journal of Materials Research and Technology
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10.1016/j.jmrt.2021.06.021
◽
2021
◽
Author(s):
Liang Zhang
◽
Kun Qian
◽
Jun Huang
◽
Mao Liu
◽
Yasushi Shibuta
Keyword(s):
Machine Learning
◽
Molecular Dynamics
◽
Molecular Dynamics Simulation
◽
Mechanical Response
◽
Dynamics Simulation
◽
High Entropy Alloy
◽
High Entropy
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Machine learning-enabled identification of new medium to high entropy alloys with solid solution phases
Computational Materials Science
◽
10.1016/j.commatsci.2021.110623
◽
2021
◽
Vol 197
◽
pp. 110623
Author(s):
Ujjawal Kumar Jaiswal
◽
Yegi Vamsi Krishna
◽
M.R. Rahul
◽
Gandham Phanikumar
Keyword(s):
Machine Learning
◽
Solid Solution
◽
High Entropy Alloys
◽
High Entropy
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The phase selection via machine learning in high entropy alloys
Procedia Manufacturing
◽
10.1016/j.promfg.2019.12.051
◽
2019
◽
Vol 37
◽
pp. 299-305
◽
Cited By ~ 2
Author(s):
Nan Qu
◽
Yichuan Chen
◽
Zhonghong Lai
◽
Yong Liu
◽
Jingchuan Zhu
Keyword(s):
Machine Learning
◽
High Entropy Alloys
◽
Phase Selection
◽
High Entropy
Download Full-text
Machine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for CO2 Reduction
Journal of the American Chemical Society
◽
10.1021/jacs.1c00339
◽
2021
◽
Vol 143
(15)
◽
pp. 5755-5762
Author(s):
Ying Guo
◽
Xinru He
◽
Yuming Su
◽
Yiheng Dai
◽
Mingcan Xie
◽
...
Keyword(s):
Machine Learning
◽
Co2 Reduction
◽
Guided Discovery
◽
Cu Catalysts
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Accelerated discovery of single-phase refractory high entropy alloys assisted by machine learning
Computational Materials Science
◽
10.1016/j.commatsci.2021.110723
◽
2021
◽
Vol 199
◽
pp. 110723
Author(s):
Yonggang Yan
◽
Dan Lu
◽
Kun Wang
Keyword(s):
Machine Learning
◽
Single Phase
◽
High Entropy Alloys
◽
High Entropy
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Designing Hexagonal Close Packed High Entropy Alloys using Machine Learning
Modelling and Simulation in Materials Science and Engineering
◽
10.1088/1361-651x/ac2b37
◽
2021
◽
Author(s):
Akhil Bejjipurapu
◽
Anurag Bajpai
◽
Nilesh Prakash Gurao
◽
Krishanu Biswas
Keyword(s):
Machine Learning
◽
High Entropy Alloys
◽
High Entropy
◽
Hexagonal Close Packed
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Machine-Learning-Guided Discovery of 19F MRI Agents Enabled by Automated Copolymer Synthesis
Journal of the American Chemical Society
◽
10.1021/jacs.1c08181
◽
2021
◽
Author(s):
Marcus Reis
◽
Filipp Gusev
◽
Nicholas G. Taylor
◽
Sang Hun Chung
◽
Matthew D. Verber
◽
...
Keyword(s):
Machine Learning
◽
Guided Discovery
◽
19F Mri
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Application of machine learning in understanding the irradiation damage mechanism of high-entropy materials
Journal of Nuclear Materials
◽
10.1016/j.jnucmat.2021.153462
◽
2021
◽
pp. 153462
Author(s):
Shijun Zhao
Keyword(s):
Machine Learning
◽
Damage Mechanism
◽
Irradiation Damage
◽
High Entropy
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Machine learning assisted design of FeCoNiCrMn high-entropy alloys with ultra-low hydrogen diffusion coefficients
Acta Materialia
◽
10.1016/j.actamat.2021.117535
◽
2021
◽
pp. 117535
Author(s):
Xiao-Ye Zhou
◽
Ji-Hua Zhu
◽
Yuan Wu
◽
Xu-Sheng Yang
◽
Turab Lookman
◽
...
Keyword(s):
Machine Learning
◽
Diffusion Coefficients
◽
Hydrogen Diffusion
◽
High Entropy Alloys
◽
High Entropy
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Communication—Design of LiNi0.2Mn0.2Co0.2Fe0.2Ti0.2O2 as a High-Entropy Cathode for Lithium-Ion Batteries Guided by Machine Learning
Journal of The Electrochemical Society
◽
10.1149/1945-7111/ac00f4
◽
2021
◽
Author(s):
James Sturman
◽
Chae-Ho Yim
◽
Elena A. Baranova
◽
Yaser Ab-Lebdeh
Keyword(s):
Machine Learning
◽
Lithium Ion Batteries
◽
Lithium Ion
◽
High Entropy
◽
Communication Design
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