BetaCitation Atlas

RESEARCH PAPER · Journal of Material Science and Technology · 2024

Toward ultra-high strength high entropy alloys via feature engineering

Yan Zhang, Cheng Wen, Pengfei Dang, Turab Lookman, Dezhen Xue, Yanjing Su

Read original paper ↗

See where this research leads.

42 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Toward ultra-high strength high entropy alloys via feature engineeringOriginalVisualizing High Entropy Alloy Spaces: Methods and Best Practices2Predicting spectroscopic properties of laser glasses: Theory and practice1Machine learning guided prediction of dynamic energy release in high-entropy alloys17Noise‐Aware Active Learning to Develop High‐Temperature Shape Memory Alloys with Large Latent Heat13Artificial intelligence driven design of cathode materials for sodium-ion batteries using graph deep learning method41Recent machine learning-driven investigations into high entropy alloys: A comprehensive review37Active learning-enabled the discovery of ultra-high saturation magnetization soft magnetic alloys5Visualizing high entropy alloy spaces: methods and best practices13AI4Materials: Transforming the landscape of materials science and enigneering25Leveraging feature gradient for efficient acquisition function maximization in material composition design3Uncertainty Quantification in Masses of Alloy Components and Atomic Radii Modification in High-Entropy Alloys Design: Thermophysical Parameters Calculation Approach1Machine learning strategies for small sample size in materials science41A dual eutectic high entropy alloy with superior strength and elasticity limit3A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductility15Machine learning-driven design of rare metal doped niobium alloys with enhanced strength and ductility6Transforming machine learning model knowledge into material insights for multi-principal-element superalloy phase design24Co-optimization of yield strength and compressive plasticity of high-entropy alloys by combining phase classification and particle swarm algorithm12Deep learning accelerated the discovery of multi‐principal element alloys with various strength‐toughness trade‐offs15Computation- and process-based design for advanced structural high-entropy alloy development and analyses: A critical review32Mechanistic insights into deformation, load redistribution, and stress partitioning in high-strength dual-phase medium-entropy alloys4Accelerated discovery of Al-Zn-Mg-Cu alloys with high-strength and high-plasticity by machine learning3Machine learning-driven insights into the microstructure and properties of high-entropy alloys14Enhancing Reverse Design Ability of Functional Materials Based on Data Quality Management: Taking Biomedical Zinc Alloy as an Example0Design of corrosion-resistant V-Al-Fe-Ni-Cr high entropy alloys with enhanced hardness via machine learning2Study on the Microstructure and Properties of CoCrFeNiMo High-Entropy Alloy Coatings Prepared by Atmospheric Plasma Spraying4Efficient design of hydrogen-resistant ultra-high-strength steels via active learning and multiscale characterization10Data-limited process-window selection for electron beam melting of Cu-Cr-Nb alloys with calibrated predictive uncertainty0Synergistic prediction of phase and hardness in high-entropy alloys via the integration of machine learning and active learning strategies1Artificial Intelligence Empowered New Materials: Discovery, Synthesis, Prediction to Validation15A machine learning framework augmented by generative models for accelerated design of refractory high-entropy alloys with superior strength-ductility synergy3Reimagining Orthopaedic Implants: Mechanobiochemical Innovations to Overcome Stress Shielding6Inverse design of electrical conductivity in AlSi8 alloy using Bayesian optimization1Establishing a Trustworthy Discovery Workflow for High-Entropy BNT Ceramics via SHAP-Interpretable Machine Learning0Descriptors for phase prediction in high-entropy alloys: a review of geometric, thermodynamic, and electronic approaches3Application of deep learning for predicting carbon segregation in large-diameter continuously cast steel billets0Machine learning designed Co-Fe-Ni-Mn-Al high entropy alloys with enhanced nano-hardness0Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery4Fabrication, application, and phase formation rules in high-entropy alloys2Noise-aware machine learning accelerates development of wide-hysteresis NiTi-based shape memory alloys0Interpretable transfer learning accelerates the design of high-temperature-resistant copper alloys with limited data0Thermodynamic investigation, design and syntheses of non-equiatomic NiCoCuFeMn high-entropy alloys based on phase formation rules1Artificial Intelligence‐Assisted Design of High‐Entropy Oxide Catalysts0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

42 direct citing papers saved.

  1. Visualizing High Entropy Alloy Spaces: Methods and Best Practices

    SSRN Electronic Journal · 2024-01-01

    Brent Vela, Trevor Hastings, Raymundo Arróyave

    Read original paper ↗ ·

  2. Predicting spectroscopic properties of laser glasses: Theory and practice

    Scientia Sinica Technologica · 2024-08-29

    Shuangli Dong, Yao JI, Hong Ming, Weichao Wang, QinYuan ZHANG

    Read original paper ↗ ·

  3. Machine learning guided prediction of dynamic energy release in high-entropy alloys

    Materials & Design · 2024-09-27

    Fengyuan Zhao, Zhouran Zhang, Yicong Ye, Yahao Li, Shun Li, Yu Tang, Li’an Zhu, Shuxin Bai

    Read original paper ↗ ·

  4. Noise‐Aware Active Learning to Develop High‐Temperature Shape Memory Alloys with Large Latent Heat

    Advanced Science · 2024-10-03

    Yuan Tian, Bin Hu, Pengfei Dang, Jianbo Pang, Yumei Zhou, Dezhen Xue

    Read original paper ↗ ·

  5. Artificial intelligence driven design of cathode materials for sodium-ion batteries using graph deep learning method

    Journal of Energy Storage · 2024-10-08

    Kong Meng, Kun Bai, Shaorui Sun

    Read original paper ↗ ·

  6. Recent machine learning-driven investigations into high entropy alloys: A comprehensive review

    Journal of Alloys and Compounds · 2024-11-28

    Yonggang Yan, Xunxiang Hu, Yalin Liao, Yanyao Zhou, Wenhao He, Ting Zhou

    Read original paper ↗ ·

  7. Active learning-enabled the discovery of ultra-high saturation magnetization soft magnetic alloys

    Scripta Materialia · 2024-12-04

    Yahao Li, Errui Jiang, Kaijia Hu, Yongqian Peng, Ziqi Ni, Fengqi Liu, Yicong Ye, Shun Li, Shuxin Bai

    Read original paper ↗ ·

  8. Visualizing high entropy alloy spaces: methods and best practices

    Digital Discovery · 2024-12-04

    Brent Vela, Trevor Hastings, Marshall Allen, Raymundo Arróyave

    Read original paper ↗ ·

  9. AI4Materials: Transforming the landscape of materials science and enigneering

    Review of Materials Research · 2025-01-01

    Xue Feng Jiang, Dezhen Xue, Yang Bai, William Yi Wang, Jianjun Liu, Mingli Yang, Yanjing Su

    Read original paper ↗ ·

  10. Leveraging feature gradient for efficient acquisition function maximization in material composition design

    Digital Discovery · 2025-01-01

    Yuehui Xian, Yunfan Wang, Pengfei Dang, Xinquan Wan, Yumei Zhou, Xiangdong Ding, Jun Sun, Dezhen Xue

    Read original paper ↗ ·

  11. Uncertainty Quantification in Masses of Alloy Components and Atomic Radii Modification in High-Entropy Alloys Design: Thermophysical Parameters Calculation Approach

    Materials Research · 2025-01-01

    Raphael Basílio Pires Nonato, Thomaz Augusto Guisard Restivo, José Carlos Machado

    Read original paper ↗ ·

  12. Machine learning strategies for small sample size in materials science

    Science China Materials · 2025-01-02

    Qiuling Tao, Jinxin Yu, Xiangyu Mu, Xue Jia, Rongpei Shi, Zhifu Yao, Cuiping Wang, Haijun Zhang, Xingjun Liu

    Read original paper ↗ ·

  13. A dual eutectic high entropy alloy with superior strength and elasticity limit

    Materials Science and Engineering A · 2025-01-31

    Tingguang Liu, Jingjing Zhang, Xiaofeng Zhang, Cheng Su, Yonghao Lu, Tetsuo Shoji

    Read original paper ↗ ·

  14. A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductility

    Materials Genome Engineering Advances · 2025-03-01

    Yan Zhang, Shewei Xin, Wei Qiang Zhou, Xiao Wang, Yangyang Xu, Yanjing Su

    Read original paper ↗ ·

  15. Machine learning-driven design of rare metal doped niobium alloys with enhanced strength and ductility

    Journal of Materials Research and Technology · 2025-04-06

    Zhenqiang Xiong, ZhaoKun Song, Jianwei Li, Heran Wang, Xiaoxin Zhang, Bin Liang, Dong Wang

    Read original paper ↗ ·

  16. Transforming machine learning model knowledge into material insights for multi-principal-element superalloy phase design

    npj Computational Materials · 2025-04-14

    Qiuling Tao, Xintong Yang, Longke Bao, Yuexin Zhou, Tao Yang, Yilu Zhao, Rongpei Shi, Zhifu Yao, Xingjun Liu

    Read original paper ↗ ·

  17. Co-optimization of yield strength and compressive plasticity of high-entropy alloys by combining phase classification and particle swarm algorithm

    Materials Science and Engineering A · 2025-05-20

    Huohong Tang, Bao Shen, Shunhua Chen, J.X. Zhang, Xiaokang Yue, Haidong Yang, Yucheng Wu

    Read original paper ↗ ·

  18. Deep learning accelerated the discovery of multi‐principal element alloys with various strength‐toughness trade‐offs

    Materials Genome Engineering Advances · 2025-06-03

    Chunhui Fan, Hong Luo, Qiancheng Zhao, Xuefei Wang, Hongxu Cheng, Chang Yue

    Read original paper ↗ ·

  19. Computation- and process-based design for advanced structural high-entropy alloy development and analyses: A critical review

    Progress in Materials Science · 2025-07-15

    Zaigham Saeed Toor, Renhao Wu, Muhammad Raihan Hashmi, Jeong Ah Lee, Xiaoqing Li, Harada Yuji, Haiming Zhang, Hyoung Seop Kim

    Read original paper ↗ ·

  20. Mechanistic insights into deformation, load redistribution, and stress partitioning in high-strength dual-phase medium-entropy alloys

    Materials Science and Engineering A · 2025-07-15

    Gang Hee Gu, Hyojeong Ha, Stefanus Harjo, Wu Gong, Dmitri Valentinovich Louzguine, Hyoung Seop Kim

    Read original paper ↗ ·

  21. Accelerated discovery of Al-Zn-Mg-Cu alloys with high-strength and high-plasticity by machine learning

    Computational Materials Science · 2025-07-16

    Xiaorong Yang, Zhifa Wang, Huaying Li, Shangshang Liang, Zheming Zhang, Xiongbo Yan, Yinyue Li

    Read original paper ↗ ·

  22. Machine learning-driven insights into the microstructure and properties of high-entropy alloys

    Advanced Powder Materials · 2025-08-05

    Xiaoyi Zhang, Wenhan Zhou, Xiang Li, Tong Xu, Yongzhen Yu, Lei Zheng, Guanhua Jin, Shengli Zhang

    Read original paper ↗ ·

  23. Enhancing Reverse Design Ability of Functional Materials Based on Data Quality Management: Taking Biomedical Zinc Alloy as an Example

    Materials · 2025-10-15

    Xujie Gong, Xue Feng Jiang, Shiyu Huang, Yize Wang, Lishen Ding, Yanjing Su, Yu Jing Yan

    Read original paper ↗ ·

  24. Design of corrosion-resistant V-Al-Fe-Ni-Cr high entropy alloys with enhanced hardness via machine learning

    Applied Surface Science · 2025-10-30

    Mengdi Zhang, Tianming Li, Tianming Li, Hanqing Xu, Gong Li

    Read original paper ↗ ·

  25. Study on the Microstructure and Properties of CoCrFeNiMo High-Entropy Alloy Coatings Prepared by Atmospheric Plasma Spraying

    Nanomaterials · 2025-11-08

    Chunxia Jiang, Wen Ge Li, Ziyan Li, Lu Wang, Rongbin Li, Yanlong Xu, Tao Jiang, Yuantao Zhao

    Read original paper ↗ ·

  26. Efficient design of hydrogen-resistant ultra-high-strength steels via active learning and multiscale characterization

    Corrosion Communications · 2025-12-05

    Chunlei Shang, Tongbo Jiang, Hong‐Hui Wu, Faguo Hou, Shuize Wang, Gao Junheng, Haitao Zhao, Chaolei Zhang, Xinping Mao

    Read original paper ↗ ·

  27. Data-limited process-window selection for electron beam melting of Cu-Cr-Nb alloys with calibrated predictive uncertainty

    SSRN Electronic Journal · 2026-01-01

    Di Qiang, Jianling Liu, Zhongliang Shu, Qin Zhang, Yifan Chen, Changshu Xiang, Yu Guo, Chao Chen, Kechao Zhou

    Read original paper ↗ ·

  28. Synergistic prediction of phase and hardness in high-entropy alloys via the integration of machine learning and active learning strategies

    Journal of Materials Chemistry A · 2026-01-01

    Hao Liu, Zhihao Shen, W L Wang, Jian Liu, P Chen, Haifeng Yang, Jingbin Hao, Yanhua Bian

    Read original paper ↗ ·

  29. Artificial Intelligence Empowered New Materials: Discovery, Synthesis, Prediction to Validation

    Nano-Micro Letters · 2026-01-10

    Ying Cao, Fu Hong, Jian Lü, Yuejiao Chen, Titao Jing, Xi Fan, Bingang Xu

    Read original paper ↗ ·

  30. A machine learning framework augmented by generative models for accelerated design of refractory high-entropy alloys with superior strength-ductility synergy

    Materials Science and Engineering A · 2026-02-14

    Liang Zhu, Jiakun Wang, Minghang Zhou, Lingti Kong, Jinfu Li

    Read original paper ↗ ·

  31. Reimagining Orthopaedic Implants: Mechanobiochemical Innovations to Overcome Stress Shielding

    Progress in Materials Science · 2026-02-18

    Amrit Raj Paul, Sunil Mehla, Maciej Mazur, Milan Brandt, Peter Choong, Suresh Kumar Bhargava

    Read original paper ↗ ·

  32. Inverse design of electrical conductivity in AlSi8 alloy using Bayesian optimization

    Journal of Materials Science · 2026-03-09

    Yongkang Sun, Yunxuan Zhou, Wenhui Tao, Junjie Wu, Yu Xiu, Huiyu Ji, Yuling Liu, Anping Dong, Jie Wang, Jun Wang, Gang Wang, Qi Liu, Mengmeng Wang

    Read original paper ↗ ·

  33. Establishing a Trustworthy Discovery Workflow for High-Entropy BNT Ceramics via SHAP-Interpretable Machine Learning

    Unknown journal · 2026-03-27

    Kunyuan Han, Ziqi Ni, Kaijia Hu, Shiyu Lang, Xingyu Chen, Yicong Ye

    Read original paper ↗ ·

  34. Descriptors for phase prediction in high-entropy alloys: a review of geometric, thermodynamic, and electronic approaches

    Materials & Design · 2026-04-07

    Peichen Wang, Yulin Li, Ł. Kurpaska, Daixiu Wei, Silvia Bonfanti, Hyoung Seop Kim, Yi Liu, Wenyi Huo

    Read original paper ↗ ·

  35. Application of deep learning for predicting carbon segregation in large-diameter continuously cast steel billets

    Journal of Materials Informatics · 2026-04-10

    Xiaolu Wei, Chenchong Wang, Xiaoming Liu, Gonghao Lian, Qiang Wang, Guodong Wang, Wei Xu

    Read original paper ↗ ·

  36. Machine learning designed Co-Fe-Ni-Mn-Al high entropy alloys with enhanced nano-hardness

    Intermetallics · 2026-04-16

    Mengdi Zhang, Yuqing Xie, Tianming Li, Hanqing Xu, Gong Li

    Read original paper ↗ ·

  37. Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery

    Materials Genome Engineering Advances · 2026-04-27

    Yunze Jia, Yuehui Xian, Yangyang Xu, Pengfei Dang, Xiangdong Ding, Jun Sun, Yumei Zhou, Dezhen Xue

    Read original paper ↗ ·

  38. Fabrication, application, and phase formation rules in high-entropy alloys

    Journal of Materials Science · 2026-05-11

    Milad Sakkaki, Vahid Pouyafar, Ramin Meshkabadi, Mehdi Shahedi Asl

    Read original paper ↗ ·

  39. Noise-aware machine learning accelerates development of wide-hysteresis NiTi-based shape memory alloys

    Journal of Applied Physics · 2026-06-12

    Jieyu Meng, Xiaohua Tian, Hongxing Li, Xiangyu Tong, Donghua Zhou, Yue Wang, Wenbin Zhao, Jian Li, Changlong Tan

    Read original paper ↗ ·

  40. Interpretable transfer learning accelerates the design of high-temperature-resistant copper alloys with limited data

    Materials & Design · 2026-06-22

    Xiukuang Zhang, Jie Yin, Qian Lei, Shuang Zhou, Chuan Wang, Yanbin Jiang, Yixuan Li, Zhangwei Wang

    Read original paper ↗ ·

  41. Thermodynamic investigation, design and syntheses of non-equiatomic NiCoCuFeMn high-entropy alloys based on phase formation rules

    Intermetallics · 2026-07-16

    Milad Sakkaki, Vahid Pouyafar, Ramin Meshkabadi, Mehdi Shahedi Asl

    Read original paper ↗ ·

  42. Artificial Intelligence‐Assisted Design of High‐Entropy Oxide Catalysts

    Advanced Materials · 2026-07-28

    Ying He, Haiyang Cheng, Tong Zhou, Tao Sun, Qingju Liu, Tianwei He

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.