Papers citing Machine learning assisted design of high entropy alloys with desired property
Domain-knowledge-oriented data pre-processing and machine learning of corrosion-resistant γ-U alloys with a small database
Computational Materials Science · 2021
Junhao Yuan, Qing Wang, Zhen Li, Chuang Dong, Pengcheng Zhang, Xiangdong Ding
Read original paper ↗ ·Structure and Microwave Dielectric Properties of Gillespite-Type ACuSi4O10 (A = Ca, Sr, Ba) Ceramics and Quantitative Prediction of the Q × f Value via Machine Learning
ACS Applied Materials & Interfaces · 2021
Jincheng Qin, Zhifu Liu, Mingsheng Ma, Feng Liu, Zeming Qi, Yongxiang Li
Read original paper ↗ ·Determination of glass forming ability of bulk metallic glasses based on machine learning
Computational Materials Science · 2021
Peng Li, Zhilin Long, Mingshengzi Zhao
Read original paper ↗ ·Searching for Optimal Patterns of Magnetoelectric Multi-Phase Composites with Machine Learning Method
Symposium on Piezoelectricity, Acoustic Waves and Device Applications · 2021
Weihao Zhu, Chen Yang, Bin Huang
Read original paper ↗ ·Development of an ANN-based generalized model for hardness prediction of SPSed AlCoCrCuFeMnNiW containing high entropy alloys
Materials Today Communications · 2021
Sheetal Kumar Dewangan, Sumanta Samal, Vinod Kumar
Read original paper ↗ ·Prediction of Mechanical Properties of Wrought Aluminium Alloys Using Feature Engineering Assisted Machine Learning Approach
Metallurgical and Materials Transactions A · 2021
Mingwei Hu, Qiyang Tan, Ruth Knibbe, Sen Wang, Xue Li, Tianqi Wu, Sams Jarin, Mingxing Zhang
Read original paper ↗ ·Design and Development of High Entropy Alloys Using Artificial Intelligence
IntechOpen eBooks · 2021
Shailesh Kumar Singh, Vivek K. Singh
Read original paper ↗ ·Rapid discovery of narrow bandgap oxide double perovskites using machine learning
Computational Materials Science · 2021
Xue Yang, Long Li, Qiuling Tao, Wencong Lu, Minjie Li
Read original paper ↗ ·Study on strengthening effects of Zr-Ti-Nb-O alloys via high throughput powder metallurgy and data-driven machine learning
Materials & Design · 2021
Shengping Si, Bojian Fan, Xuemei Liu, Tian Zhou, Chuan He, Dandan Song, Jinxu Liu
Read original paper ↗ ·Modeling solid solution strengthening in high entropy alloys using machine learning
Acta Materialia · 2021
Cheng Wen, Changxin Wang, Yan Zhang, Stoichko Antonov, Dezhen Xue, Turab Lookman, Yanjing Su
Read original paper ↗ ·New Materials for Nuclear Power
Herald of the Russian Academy of Sciences · 2021
Alexey Dub, А. И. Рудской
Read original paper ↗ ·A crystal plasticity finite element-based approach to model the constitutive behavior of multi-phase steels
Archives of Civil and Mechanical Engineering · 2021
Hongguang Liu, Yung C. Shin
Read original paper ↗ ·A focused review on machine learning aided high-throughput methods in high entropy alloy
Journal of Alloys and Compounds · 2021
Ling Qiao, Yong Liu, Jingchuan Zhu
Read original paper ↗ ·A machine-learning-based alloy design platform that enables both forward and inverse predictions for thermo-mechanically controlled processed (TMCP) steel alloys
Scientific Reports · 2021
Jin-Woong Lee, Chaewon Park, Byung Do Lee, Joonseo Park, Nam Hoon Goo, Kee‐Sun Sohn
Read original paper ↗ ·Predicting and optimizing coupling effect in magnetoelectric multi-phase composites based on machine learning algorithm
Composite Structures · 2021
Weihao Zhu, Yang Chen, Bin Huang, Yan Shu Guo, Longtao Xie, Yangyang Zhang, Ji Wang
Read original paper ↗ ·First-principles-based high-throughput computation for high entropy alloys with short range order
Journal of Alloys and Compounds · 2021
V. Sorkin, S. Chen, Teck Leong Tan, Zhi Gen Yu, Mengren Man, Y.W. Zhang
Read original paper ↗ ·Machine Learning in Solid‐State Chemistry: Heusler Compounds
Encyclopedia of Inorganic and Bioinorganic Chemistry · 2021
Alexander S. Gzyl, Arthur Mar, Anton O. Oliynyk
Read original paper ↗ ·Mechanistic insights into selective oxidation and corrosion of multi-principal element alloys from high resolution and in situ microscopy
Materialia · 2021
Elizabeth J. Kautz, Daniel K. Schreiber, Arun Devaraj, Bharat Gwalani
Read original paper ↗ ·Design of refractory compositionally complex alloys with optimal mechanical properties
Physical Review Materials · 2021
Alberto Ferrari, Yury V. Lysogorskiy, Ralf Drautz
Read original paper ↗ ·Discovery of aluminum alloys with ultra-strength and high-toughness via a property-oriented design strategy
Journal of Material Science and Technology · 2021
Lei Jiang, Changsheng Wang, Huadong Fu, Jie Shen, Zhihao Zhang, Jianxin Xie
Read original paper ↗ ·Machine learning elastic constants of multi-component alloys
Computational Materials Science · 2021
Vivek Revi, Saurabh Kasodariya, Anjana Talapatra, Ghanshyam Pilania, Alankar Alankar
Read original paper ↗ ·Emergence of machine learning in the development of high entropy alloy and their prospects in advanced engineering applications
Emergent Materials · 2021
Nirmal Kumar Katiyar, Gaurav Goel, Saurav Goel
Read original paper ↗ ·A Review for Machine Learning Applications in Characterizing Biomaterials and Biological Materials Properties
American Journal of Biomedical Science & Research · 2021
Bo Li
Read original paper ↗ ·Machine Learning to Predict Quasicrystals from Chemical Compositions
Advanced Materials · 2021
Chang Liu, Erina Fujita, Yukari Katsura, Yuki Inada, Asuka Ishikawa, Ryuji Tamura, Kaoru Kimura, Ryo Yoshida
Read original paper ↗ ·Machine learning for alloys
Nature Reviews Materials · 2021
Gus L. W. Hart, Tim Mueller, Cormac Toher, Stefano Curtarolo A
Read original paper ↗ ·Neural evolution structure generation: High entropy alloys
The Journal of Chemical Physics · 2021
Conrard Giresse Tetsassi Feugmo, Kevin Ryczko, Abu Anand, Chandra Veer Singh, Isaac Tamblyn
Read original paper ↗ ·Developing a multilateral-based neural network model for engineering of high entropy amorphous alloys
Modelling and Simulation in Materials Science and Engineering · 2021
Tzu-Chia Chen, Marischa Elveny, Aravindhan Surendar, Adedoyin Isola Lawal, Angelina Olegovna Zekiy, Rabeya Anzum
Read original paper ↗ ·Accelerated discovery of single-phase refractory high entropy alloys assisted by machine learning
Computational Materials Science · 2021
Yonggang Yan, Dan Lü, Kun Wang
Read original paper ↗ ·Rapid screening of high-entropy alloys using neural networks and constituent elements
Computational Materials Science · 2021
Ahmed Nassar, Andrew Martin Mullis
Read original paper ↗ ·Lessons Learned in Employing Data Analytics to Predict Oxidation Kinetics and Spallation Behavior of High-Temperature NiCr-Based Alloys
Oxidation of Metals · 2021
Rishi Pillai, Marie Romedenne, Jian Peng, Bruce A. Pint, J. Allen Haynes, Govindarajan Muralidharan, Dongwon Shin
Read original paper ↗ ·A Property‐Driven Stepwise Design Strategy for Multiple Low‐Melting Alloys via Machine Learning
Advanced Engineering Materials · 2021
Huimin Chen, Zhongwen Shang, Wencong Lu, Minjie Li, Fuping Tan
Read original paper ↗ ·Machine learning prediction of magnetic properties of Fe-based metallic glasses considering glass forming ability
Journal of Material Science and Technology · 2021
Xin Li, Guangcun Shan, C.H. Shek
Read original paper ↗ ·Stepwise Evolution of Photocatalytic Spinel-Structured (Co,Cr,Fe,Mn,Ni)3O4 High Entropy Oxides from First-Principles Calculations to Machine Learning
Crystals · 2021
Chia‐Chun Lin, Chia-Wei Chang, Chao‐Cheng Kaun, Yen‐Hsun Su
Read original paper ↗ ·Biomaterials by design: Harnessing data for future development
Materials Today Bio · 2021
Kun Xue, Fuke Wang, Ady Suwardi, Ming‐Yong Han, Peili Teo, Pei Wang, Shijie Wang, Enyi Ye, Zibiao Li, Xian Jun Loh
Read original paper ↗ ·Tailoring microstructure of metallic glass for delocalized plasticity by pressure annealing: Forward and inverse studies
Acta Materialia · 2021
Yao Tang, Qingkun Zhao, Haofei Zhou, Weifei Hu, T. D. Xu, Lei Zheng, Raymond Kwesi Nutor, X.D. Wang, Q.P. Cao, Dongxian Zhang, Gang Sha, Huanan Wang, J.Z. Jiang
Read original paper ↗ ·Phase–Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries
Advanced Materials · 2021
Leonardo Velasco, Juan S. Castillo, Mohana Veerraju Kante, Jhon Jairo Olaya, Pascal Friederich, Horst Hahn
Read original paper ↗ ·Using multiple regression analysis to predict directionally solidified TiAl mechanical property
Journal of Material Science and Technology · 2021
Seung-Mi Kwak, JaeHwang Kim, Hongsheng Ding, Xuesong Xu, Ruirun Chen, Jingjie Guo, Hengzhi Fu
Read original paper ↗ ·Machine Learning Accelerated, High Throughput, Multi‐Objective Optimization of Multiprincipal Element Alloys
Small · 2021
Tian Guo, Lianping Wu, Teng Li
Read original paper ↗ ·Explicit expressions of the saturation flux density and thermal stability in Fe-based metallic glasses based on Lasso regression
Intermetallics · 2021
Zhuang Li, Zhilin Long, Shan Lei, Lingming Yang, Wei Zhang, Ting Zhang
Read original paper ↗ ·Deep learning for mapping element distribution of high-entropy alloys in scanning transmission electron microscopy images
Computational Materials Science · 2021
Marco Ragone, Mahmoud Tamadoni Saray, Lance Long, Reza Shahbazian‐Yassar, Farzad Mashayek, Vitaliy Yurkiv
Read original paper ↗ ·Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges
Materials · 2021
Karol Frydrych, Kamran Karimi, Michal Pecelerowicz, Rene Alvarez, Francesco Javier Dominguez-Gutiérrez, Fabrizio Rovaris, Stefanos Papanikolaou
Read original paper ↗ ·Implementing Machine Learning in Laboratory Synthesis by Hybrid of SVR Model and Optimization Algorithms
Advanced Theory and Simulations · 2021
Tolou Pourashraf, Saeid Shokri, Mohammad Yousefi, Abbas Ahmadi, Parviz Aberoomand Azar
Read original paper ↗ ·Machine Learning‐Driven Biomaterials Evolution
Advanced Materials · 2021
Ady Suwardi, Fuke Wang, Kun Xue, Ming‐Yong Han, Peili Teo, Pei Wang, Shijie Wang, Ye Liu, Enyi Ye, Li Zibiao, Xian Jun Loh
Read original paper ↗ ·A strategy assisted machine learning to process multi-objective optimization for improving mechanical properties of carbon steels
Journal of Material Science and Technology · 2021
Yupeng Diao, Luchun Yan, Kewei Gao
Read original paper ↗ ·Machine learning (ML) as a tool for phosphor design: A perspective
Materials Letters · 2021
Santosh Behara, Smarak Rath, Tiju Thomas
Read original paper ↗ ·DiSCoVeR: a Materials Discovery Screening Tool for High Performance, Unique Chemical Compositions
Venue not supplied by source · 2021
Sterling G. Baird, Tran Diep, Taylor D. Sparks
Read original paper ↗ ·Discovery of Energy Storage Molecular Materials Using Quantum Chemistry-Guided Multiobjective Bayesian Optimization
Chemistry of Materials · 2021
Garvit Agarwal, Hieu Anh Doan, Lily A. Robertson, Lu Zhang, Rajeev S. Assary
Read original paper ↗ ·DiSCoVeR: a Materials Discovery Screening Tool for High Performance, Unique Chemical Compositions
Venue not supplied by source · 2021
Sterling G. Baird, Tran Diep, Taylor D. Sparks
Read original paper ↗ ·Machine learning assisted modelling and design of solid solution hardened high entropy alloys
Materials & Design · 2021
Xiaoya Huang, Cheng Ji Jin, Chi Zhang, Hu Zhang, Hanwei Fu
Read original paper ↗ ·Synthesis and Corrosion Resistance of FeMnNiAlC10 Multi-Principal Element Compound
Materials · 2021
Mohammed Hussien, Karl Walton, Vladimir M. Vishnyakov
Read original paper ↗ ·