Papers citing Accelerated discovery of single-phase refractory high entropy alloys assisted by machine learning
Making Multicomponent Materials
Unknown journal · 2024-10-29
Brian Cantor
Read original paper ↗ ·Efficient generation of grids and traversal graphs in compositional spaces towards exploration and path planning
npj Unconventional Computing · 2024-11-05
Adam M. Krajewski, Allison M. Beese, Wesley F. Reinhart, Zi‐Kui Liu
Read original paper ↗ ·Comparing Machine Learning Models for Strength and Ductility in High-Entropy Alloys
High Entropy Alloys & Materials · 2024-11-27
Diego Ibarra Hoyos, Quentin Simmons, S. J. Poon
Read original paper ↗ ·Machine Learning Advances in High-Entropy Alloys: A Mini-Review
Entropy · 2024-12-20
Yibo Sun, Jun Ni
Read original paper ↗ ·Rapid Assessment of Stable Crystal Structures in Single-Phase High-Entropy Alloys via Graph Neural Network-Based Surrogate Modelling
Crystals · 2024-12-20
Nicholas Beaver, Aniruddha Mukund Dive, Marina Wong, Keita Shimanuki, Ananya Patil, Anthony Ferrell, Mohsen Beyramali Kivy
Read original paper ↗ ·Graph-Based Data Analysis for Building Chemistry–Phase Design Rules for High Entropy Alloys
Crystals · 2024-12-28
Scott Broderick, Stephen A. Giles, Debasis Sengupta, Krishna Rajan
Read original paper ↗ ·Applications of machine learning in high-entropy alloys: a review of recent advances in design, discovery, and characterization
Nanoscale · 2025-01-01
Mohammad Hossein Golbabaei, Mohammad Zohrevand, Ning Zhang
Read original paper ↗ ·Essential Oils as Antimicrobials against Acinetobacter baumannii : Experimental and Literature Data to Definite Predictive Quantitative Composition–Activity Relationship Models Using Machine Learning Algorithms
Journal of Chemical Information and Modeling · 2025-01-23
Roberta Astolfi, Alessandra Oliva, Antonio Raffo, Filippo Umberto Sapienza, Alessio Ragno, Eleonora Proia, Claudio Maria Mastroianni, Cristina Luceri, Mijat Božović, Milan P. Mladenović, Rosanna Papa, Patrizia Bottoni, Elena Mazzinelli, Giuseppina Nocca, Rino Ragno
Read original paper ↗ ·Effect of fabrication techniques of high entropy alloys: A review with integration of machine learning
Results in Engineering · 2025-02-21
Mohamed Yasin Abdul Salam, Enoch Nifise Ogunmuyiwa, Victor Kitso Manisa, Abid Yahya, Irfan Anjum Badruddin
Read original paper ↗ ·EFTGAN: Elemental features and transferring corrected data augmentation for the study of high-entropy alloys
npj Computational Materials · 2025-03-01
Yibo Sun, Cong Hou, Nguyen-Dung Tran, Yuhang Lu, Zhiyong Li, Ying Chen, Jun Ni
Read original paper ↗ ·Research on Performance Prediction Method of Refractory High-Entropy Alloy Based on Ensemble Learning
Metals · 2025-03-27
Gui Yun Tian, Pingluo Zhao, Yangwei Wang, Hongmei Zhang, Liying Xing, Xingwang Cheng
Read original paper ↗ ·Multi-principal element nanoparticles: Synthesis strategies and machine learning prediction
Coordination Chemistry Reviews · 2025-04-03
Wail Al Zoubi, Yujun Sheng, Iftikhar Hussain, Heo Seongjun, Nokeun Park
Read original paper ↗ ·Design of BCC/FCC dual-solid solution refractory high-entropy alloys through CALPHAD, machine learning and experimental methods
npj Computational Materials · 2025-04-20
Longjun He, Chaoyue Wang, Mina Zhang, Jinghao Li, T. L. Chen, Xianglin Zhou
Read original paper ↗ ·Design methods of high-entropy alloys: Current status and prospects
Journal of Alloys and Compounds · 2025-04-25
Lingxin Li, Zhengdi Liu, Xulong An, Wenwen Sun
Read original paper ↗ ·Design of Ni-based single crystal superalloys by machine learning based on data-driven multi-task optimization
Computational Materials Science · 2025-05-13
Lixian Lian, Wenjing Li, Yu Zhang, Xiufang Gong, Hu Wang, Ying Liu
Read original paper ↗ ·Design of refractory complex concentrated alloys combining good tensile strength and ductility at 22–1000 °C
International Journal of Refractory Metals and Hard Materials · 2025-05-24
N. Yurchenko, E. Mishunina, E. Kochura, Vladimir Mirontsov, D. Kapustin, Svetlana Anatolievna Shalnova, Stanislav A. Evlashin, Nikita Stepanov
Read original paper ↗ ·Machine learning assisted phase prediction of refractory multi-component alloys based on data from low-, medium-, and high-entropy alloys
International Journal of Refractory Metals and Hard Materials · 2025-05-30
Yuehua Wang, Mingqing Liao, Nan Qu, Xizhen Li, Danni Yang, Zhonghong Lai, Yong Liu, Fengjiang Wang, Jingchuan Zhu
Read original paper ↗ ·A phase prediction strategy of high entropy alloys manufactured by selective laser melting based on feature selection and machine learning
Journal of Materials Research and Technology · 2025-06-02
Donghui Chen, Jia-Xing Guo, Liang Guo, Xiaojun Tan, Yi Ba, Lei Zhang, Qingmao Zhang
Read original paper ↗ ·Atomic Interaction-Based Prediction of Phase Formations in High-Entropy Alloys
ACS Omega · 2025-06-06
Md Tohidul Islam, Stephen A. Giles, Debasis Sengupta, Krishna Rajan, Scott Broderick
Read original paper ↗ ·Accelerated computational design of BCC refractory high entropy alloys using metaheuristics, CALPHAD, and artificial neural networks
Materials Today Communications · 2025-06-13
R.S. Monzamodeth, V.A. Aranda, E. Hernández-Mecinas, S. Espinosa-Rangel, J. Villalobos, I.A. Figueroa, G. González
Read original paper ↗ ·Hybrid Feature Learning for Crystal System and Space Group Classification from Standard XRD Patterns
Unknown journal · 2025-06-20
Aoyuan Peng, Wenqian Wang, Jingtao Xia, Hu Jian
Read original paper ↗ ·Transfer Analysis of Machine Learning Models Trained on Simulated XRD Patterns to Real Powder XRD Experimental Data
Unknown journal · 2025-06-20
Jianfeng Hu, Heng Gao, Yixuan Liu, Aoyuan Peng
Read original paper ↗ ·Review of machine learning-assisted multi-property design of high-entropy alloys: phase structure, mechanical, tribological, corrosion, and hydrogen storage properties
Journal of Materials Research and Technology · 2025-07-01
Yunlong Li, Jialiang Tan, Qian Cheng, Xiaochao Liu, Rui Nie
Read original paper ↗ ·Predicting the formation of single-phase high-entropy alloys using the tight-binding approximation
Journal of Physics Condensed Matter · 2025-07-28
Jacques René Eone
Read original paper ↗ ·Achieving interpretable and efficient design of lightweight multi-principal element alloys via machine learning with optimized strengthening-toughening models
Journal of Material Science and Technology · 2025-09-08
Xutao Li, Zheng Li, Zhichao Meng, Weiji Lai, Kang Li, Dingxin Liu, Hao Wang, Xiaowei Zuo
Read original paper ↗ ·Spiers Memorial Lecture: Multicomponent and high-entropy materials: an overview
Faraday Discussions · 2025-09-09
Brian Cantor
Read original paper ↗ ·AI Design for High Entropy Alloys: Progress, Challenges and Future Prospects
Metals · 2025-09-11
Enzhi Xie, Chao Yang
Read original paper ↗ ·Machine learning‐based research of new refractory high‐entropy alloys using guided multiobjectives search strategy
Materials Genome Engineering Advances · 2025-09-19
Gang Xu, Gang Niu, YongWei Wang, Qianxi He, Hongfei Liu, Huibin Wu, Jinwu Xu
Read original paper ↗ ·Advancing biomaterial research with artificial intelligence
Biomaterials Advances · 2025-10-04
Jun Chen Ng, Pauline Shan Qing Yeoh, Farina Muhamad, XiaoXu Zhao, ShuiLin Wu, Xiang Wu, Khin Wee Lai
Read original paper ↗ ·Hardness prediction of refractory high entropy alloys through gradient boosting and SHAP analysis based machine learning
International Journal of Refractory Metals and Hard Materials · 2025-10-04
Ravindranadh Bobbili
Read original paper ↗ ·Materials Informatics approach to design new high-entropy shape memory alloys
Scripta Materialia · 2025-10-05
Kamlesh Sahoo, Shruti Diwase, Manish Kumar Singh, R Santhanam, M.R. Rahul
Read original paper ↗ ·Emerging design paradigms and microstructural innovations in refractory high-entropy alloys: a critical review
Materials Futures · 2025-10-21
Deyu Jiang, Lai‐Chang Zhang, Kuaishe Wang, Mahmoud Ebrahimi, Wen Wang, Liqiang Wang, Weijie Lü, Di Zhang
Read original paper ↗ ·A ML-Driven Framework for Phase Prediction in High-Entropy Alloys
Annals of Data Science · 2025-11-03
Yingting Guo, Yan Xu
Read original paper ↗ ·Supervised machine learning for corrosion assessment of multi-principal element alloys using experimental and generative datasets
npj Materials Degradation · 2025-11-21
M. Ghorbani, Ziyuan Li, Aleksandar Pasquini, Rajesh Vasa, N. Birbilis
Read original paper ↗ ·Accelerated design of high-entropy alloys via probabilistic substitution and machine learning with first-principles validation of phase stability
Journal of Alloys and Compounds · 2025-11-23
Abdul Hamid Rumman, Kaushik Barua, Shohaib Ibne Monju, Aabrar Bin Salahuddin, Md Tohidul Islam, Saquib Ahmed
Read original paper ↗ ·A Perspective on the Historical and Contemporary Development of Refractory Alloys
Metallurgical and Materials Transactions A · 2025-12-12
Carolina Frey, Kaitlyn M. Mullin, Joseph Jankowski, Leah H. Mills, Noah R. Philips, Tresa M. Pollock
Read original paper ↗ ·Machine learning driven insights into yield strength of multi-principal element alloys
Journal of materials research/Pratt's guide to venture capital sources · 2025-12-19
Dishant Beniwal, Ashish Kaushik, Abhishek Tiwari, Pratik K. Ray
Read original paper ↗ ·AI meets high-entropy alloys: From classification and regression to explainable models and predictive discovery
Elsevier eBooks · 2026-01-01
Stéphane Gorsse, Wen‐Jay Lee
Read original paper ↗ ·A multi-fidelity active learning framework for accelerated alloy design
Materials & Design · 2026-01-22
Mohd Aqib, Kopparthi Ravikiran, Leijun Li, Vinay Prasad
Read original paper ↗ ·Designing refractory complex concentrated alloys for extreme environments
Current Opinion in Solid State and Materials Science · 2026-02-05
Quanfeng He, Xufeng Wang, Qing Wang, Hang Wang, Ruiqi Ding, Zhaoqi Chen, Ruochen Sun, Guangbao Mi, Jianfeng Gu, Yong Gang Yang
Read original paper ↗ ·Lattice-dependent formation enthalpy enhances machine-learning phase prediction of high-entropy alloys
Journal of Materials Research and Technology · 2026-04-19
Yongkang Tan, Chenran Xu, Liyang Fang, Qiao Ling, Xiaoma Tao, H Chen, Yifang Ouyang, Yong Du
Read original paper ↗ ·A review on the thermal protection technologies of reusable hypersonic vehicles
International Communications in Heat and Mass Transfer · 2026-07-15
Shibin Luo, Zhongding Tang, Jiawen Song, Jiacheng Yuan, Yanbin Feng, Jun Liu
Read original paper ↗ ·Machine learning-driven accelerated discovery of high-entropy alloys: From composition engineering to multifunctional property prediction
Journal of Alloys and Compounds · 2026-08-12
Reliance Jain, Rakesh Arya, Ahmed Farid Ibrahim, M.A. Hussein
Read original paper ↗ ·Improvement of high temperature oxidation behavior of refractory high entropy alloys using protective coatings
International Journal of Refractory Metals and Hard Materials · 2026-08-13
M.U. Farooq Khan, Deva Prasaad Neelakandan, Mohammadreza Daroonparvar, Chanho Lee
Read original paper ↗ ·Enhancing strength-ductility synergy in BCC refractory high-entropy alloys via machine learning and bimodal heterostructure design
Intermetallics · 2026-08-26
Jianye He, Zezhou Li, Yidi Xu, Qiang Wang, Ruochen Jin, Shuyi Ren, Hongmei Zhang, Fan Zhang, Lin Wang, Yan Jiang, Xingwang Cheng
Read original paper ↗ ·A Dual Machine‐Learning Framework for Predicting Phase Stability and Mixing Enthalpy Difference in MSi 2 ‐Type High‐Entropy Refractory Metal Silicides
Advanced Engineering Materials · 2026-08-31
Nidhi Rawat, Deepak S. Bisht, A. Perumal
Read original paper ↗ ·Machine Learning and Edge Dislocation Theory Enabled Accelerated Design of High-Strength, BCC, Non-Equimolar NbMoTiVZr Refractory High Entropy Alloys
Journal of Phase Equilibria and Diffusion · 2026-09-28
A. Ajimshad, R. Anand Sekhar
Read original paper ↗ ·Machine learning-guided multiclass phase prediction and DFT-validated BCC alloy design in refractory high-entropy alloys
Physica B Condensed Matter · 2026-10-06
Kiran Riaz, Muhammad Asif, Muhammad Akram, Muhammad Faisal, Ishfaq Ahmed, Inzamam ul Haq
Read original paper ↗ ·