Papers citing Robust data-driven approach for predicting the configurational energy of high entropy alloys
A machine learning interatomic potential for high entropy alloys
Journal of the Mechanics and Physics of Solids · 2024
Lianping Wu, Teng Li
Read original paper ↗ ·Transferring predictions of formation energy across lattices of increasing size*
Machine Learning Science and Technology · 2024
Massimiliano Lupo Pasini, Mariia Karabin, Markus Eisenbach
Read original paper ↗ ·Chemistry and Local Environment Adaptive Representation graphs as material descriptors
Acta Materialia · 2024
Sucheta Swetlana, Abhishek Kumar Singh
Read original paper ↗ ·Enhancing high-entropy alloy performance: Predictive modelling of wear rates with machine learning
Results in Engineering · 2024
Madabhushi Siri Niketh, Nachimuthu Radhika, Adeolu Adesoji Adediran, Tien‐Chien Jen
Read original paper ↗ ·Ab initio framework for deciphering trade-off relationships in multi-component alloys
npj Computational Materials · 2024
Franco Moitzi, Lorenz Romaner, Andrei V. Ruban, Max Hodapp, Oleg E. Peil
Read original paper ↗ ·VASE: A High-Entropy Alloy Short-Range Order Structural Descriptor for Machine Learning
Journal of Chemical Theory and Computation · 2024
Jiaheng Liu, Pengbo Wang, Jun Peng Luan, Junwei Chen, Peng-Cheng Cai, Jianhua Chen, Xionggang Lu, Yunying Fan, Zhigang Yu, Kuo‐Chih Chou
Read original paper ↗ ·Mapping high entropy state spaces for novel material discovery
Acta Materialia · 2024
Johnathan von der Heyde, Walter Malone, Abdelkader Kara
Read original paper ↗ ·Materials Properties Prediction (MAPP): Empowering the Prediction of Material Properties Solely Based on Chemical Formulas
Materials · 2024
Si-Da Xue, Qi‐Jun Hong
Read original paper ↗ ·Frontiers in high entropy alloys and high entropy functional materials
Rare Metals · 2024
Wentao Zhang, Xueqian Wang, Fengqi Zhang, Xiaoya Cui, Bingbing Fan, Jia‐Ming Guo, Zhi‐Min Guo, Rui Huang, Wen Yu Huang, Xubo Li, Mengru Li, Yan Ma, Zhi‐Hua Shen, Yonggang Sun, De‐Zhuang Wang, Feiyang Wang, Liqiang Wang, Nan Wang, Tian‐Li Wang, Wei Min Wang, Xiaoyang Wang, Yihan Wang, Fu‐Jie Yu, Yuzhen Yin, Lingkun Zhang, Yi Zhang, Jianyang Zhang, Qi Lin Zhao, Yuping Zhao, Xin-Dong Zhu, Yasir Sohail, Yanan Chen, Tao Feng, Qilong Gao, Haiyan He, Yongjiang Huang, Zengbao Jiao, Hua Ji, Yao Jiang, Qiang Li, Xiaoming Li, Wei–Bing Liao, Huaijun Lin, Hui Liu, Qi Liu, Wei‐Di Liu, Wei‐Di Liu, Xiongjun Liu, Yang Lü, Yiping Lu, Wen Ma, Xuefei Miao, Jie Pan, Qing Wang, Hong‐Hui Wu, Yuan Wu, Tao Yang, Weiming Yang, Qian Yu, Jinyu Zhang, Zhi‐Gang Chen, Liang Mao, Yang Ren, Baolong Shen, Xun‐Li Wang, Zhe Jia, He Guo Zhu, Zhenduo Wu, Si Lan
Read original paper ↗ ·Machine learning-assisted design of high-entropy alloys for optimal strength and ductility
Journal of Alloys and Compounds · 2024
Shailesh Kumar Singh, Bashista Kumar Mahanta, Pankaj Singh Rawat, Sanjeev Kumar
Read original paper ↗ ·Chemical order/disorder phase transitions in NiCoFeAlTiB multi-principal element alloys: A Monte Carlo analysis
Acta Materialia · 2024
Zhaowei Wang, Tao Yang
Read original paper ↗ ·A harmonic domain regressor with dynamic task weighting strategy for multi-fidelity surrogate modeling in engineering design
Advanced Engineering Informatics · 2024
Lin You, Songqing Xing, Jin Yi, Shujin Yuan, Jiangtao Yang, Huayan Pu, Jun Ting Luo
Read original paper ↗ ·Machine Learning Advances in High-Entropy Alloys: A Mini-Review
Entropy · 2024
Yibo Sun, Jun Ni
Read original paper ↗ ·Solving the strength-ductility trade-off using complex concentrated alloy design strategy: An overview
Smart Materials in Manufacturing · 2025
Desmond Edem Primus Klenam, Olufemi Sylvester Bamisaye, Tabiri Kwayie Asumadu, Michael Oluwatosin Bodunrin, Winston Oluwole Soboyejo
Read original paper ↗ ·Quantum annealing-assisted lattice optimization
npj Computational Materials · 2025
Zhihao Xu, Wenjie Shang, Seongmin Kim, Eungkyu Lee, Tengfei Luo
Read original paper ↗ ·A multi-fidelity transfer learning strategy for surface deformation measurement of large reflector antennas
Experimental Astronomy · 2025
Zihan Zhang, Qian Ye, Na Wang, Guoxiang Meng
Read original paper ↗ ·EFTGAN: Elemental features and transferring corrected data augmentation for the study of high-entropy alloys
npj Computational Materials · 2025
Yibo Sun, Cong Hou, Nguyen-Dung Tran, Yuhang Lu, Zhiyong Li, Ying Chen, Jun Ni
Read original paper ↗ ·Machine Learning-Based Computational Design Methods for High-Entropy Alloys
High Entropy Alloys & Materials · 2025
Yan Ming Zhao, J. Y. Zhang, Peter Kaehuei Liaw, Tao Yang
Read original paper ↗ ·Application of Machine Learning in Amorphous Alloys
Materials · 2025
Like Zhang, Huangyou Zhang, Boyan Ji, Leqing Liu, Xianlan Liu, Ding Chen
Read original paper ↗ ·Synthesis and Machine Learning Prediction of High Entropy Multi‐Principal Element Nanoparticles
Small · 2025
Wail Al Zoubi, Yujun Sheng, Iftikhar Hussain, Heo Seongjun, Mohammad R. Thalji, Nokeun Park
Read original paper ↗ ·PtWAVE: a high-sensitive deconvolution software of sequencing trace for the detection of large indels in genome editing
BMC Bioinformatics · 2025
Kazuki Nakamae, Saya Ide, Nagaki Ohnuki, Yoshiko Nakagawa, Keisuke Okuhara, Hidemasa U. Bono
Read original paper ↗ ·Language models for materials discovery and sustainability: Progress, challenges, and opportunities
Progress in Materials Science · 2025
Zongrui Pei, Junqi Yin, Jiaxin Zhang
Read original paper ↗ ·Transferable predictions of energetic and structural properties for refractory solid solution alloys across chemical compositions
Computational Materials Science · 2025
Massimiliano Lupo Pasini, Pei Zhang, Jong Youl Choi, German D. Samolyuk, Markus Eisenbach, Ying Yang
Read original paper ↗ ·Data Science in Order and Disorder of High-Entropy Materials
Metals · 2025
Jiasheng Wang, Jianzhong Jiang, Peter Kaehuei Liaw, Guihong Geng, Yong Zhang
Read original paper ↗ ·Role of compositionally complex and high entropy alloys for hydrogen storage: A bibliometric and mechanistic assessment
Renewable and Sustainable Energy Reviews · 2025
Bongani Seeke Ramatsoma, Mamookho Elizabeth Makhatha, Desmond Edem Primus Klenam, Michael Oluwatosin Bodunrin
Read original paper ↗ ·Prediction of low-modulus Ti-based refractory high-entropy alloys for orthopedic implants using machine learning and DFT calculations
Physica B Condensed Matter · 2025
Ishfaq Ahmed, Qu Nan, Waqas Akhtar, Shanza Mubashir, Danni Yang, Yong Liu, Zhu Jingchuan
Read original paper ↗ ·Characterization of Two Novel NiTiHf Shape Memory Alloys Designed by Machine Learning Utilizing Novel Experimental Techniques
Shape Memory and Superelasticity · 2025
Demircan Canadinç, Elmar Jonas Breitbach, A.A. Catal
Read original paper ↗ ·Review: machine learning in high-entropy alloys-transformative potential and innovative application
Journal of Materials Science · 2025
Xudong Hu
Read original paper ↗ ·Revealing nanostructures in high-entropy alloys via machine-learning accelerated scalable Monte Carlo simulation
npj Computational Materials · 2025
Xianglin Liu, Kai Yang, Yongxiang Liu, Fanli Zhou, Dengdong Fan, Zongrui Pei, Pengxiang Xu, Yonghong Tian
Read original paper ↗ ·Machine learning-based prediction of high-entropy alloys for hydrogen storage with optimized thermodynamic and kinetic parameters
Journal of Energy Storage · 2025
Bashista Kumar Mahanta, Sanjeev Kumar, Sunil Kumar Pathak, Shailesh Kumar Singh
Read original paper ↗ ·SMC-X: A Distributed, Scalable Monte Carlo Simulation Method for Chemically Complex Alloys
Journal of Chemical Theory and Computation · 2025
Xianglin Liu, Kai Yang, Fanli Zhou, Pengxiang Xu
Read original paper ↗ ·A Comprehensive Review of the Computational Approaches for Structure–Property Prediction of High Entropy Materials
High Entropy Alloys & Materials · 2026
Suman Chabri, G. Anand
Read original paper ↗ ·Competing adsorption of H and CO on Pd-alloy surfaces:Mechanistic insight into the mitigating effect of Cu on CO poisoning
Acta Materialia · 2026
Pernilla Ekborg-Tanner, Paul Erhart
Read original paper ↗ ·Comparative assessment of dilute alloys and complex concentrated alloys: Design principles, processing, mechanisms, properties, and sustainability
Journal of Alloys and Compounds Communications · 2026
Desmond Edem Primus Klenam, Tabiri Kwayie Asumadu, Michael Oluwatosin Bodunrin, Winston Oluwole Soboyejo
Read original paper ↗ ·Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S2
Computational Materials Today · 2026
Chun Zhou, Hannu‐Pekka Komsa
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
Reliance Jain, Rakesh Arya, Ahmed Farid Ibrahim, M.A. Hussein
Read original paper ↗ ·Machine learning interatomic potentials for high-entropy alloys: from atomic mechanisms to macroscopic design
Computational Materials Science · 2026
Abdul Bari, Jiankang Huang, Muhammad Ishfaq, Chen Dong, Shichen Yan, Ahtisham Karim
Read original paper ↗ ·