Papers citing Recent applications of machine learning in alloy design: A review
Predictive Modeling of Porosity Formation in Directionally Solidified AlSi10Mg Alloy: Effects of Temperature Gradient, Solidification Time, and Interface Velocity
International Journal of Automotive Science And Technology · 2025
Selçuk ŞİRİN, Adem Demir
Read original paper ↗ ·Synergistic enhancement of strength and corrosion resistance in Al-Mg-Si alloys through chemical composition design via machine learning approaches
Materials & Design · 2025
Jun Li, Lingying Ye, Guotong Zou, Yu Wang, Zhongyu Yuan, Jianguo Tang
Read original paper ↗ ·Harnessing the power of α-Mg: Unveiling the matrix phase’s role in Mg alloys from structure to function
Journal of Magnesium and Alloys · 2025
Xun Chen, Yuan Yuan, Xin Zhou, Tao Chen, Ai Tao Tang, Xianhua Chen, Jun Tan, Nele Moelans B, Jürgen Eckert, Fusheng Pan
Read original paper ↗ ·An interatomic-energy-based new materials design strategy combining DFT calculations and active machine learning
Journal of Material Science and Technology · 2025
Xingyu Xiao, Zhilei Wang, Peiwen Yun, Wei Sun, Mingying Chen, Xinhua Liu, Weidong Li, Jianxin Xie
Read original paper ↗ ·Machine Learning to Classify and Predict Machinability Index of AISI Low Alloy Steels Based on Chemical Composition and Manufacturing Processes
Lecture notes in civil engineering · 2026
Snezhana Georgieva Gocheva-Ilieva
Read original paper ↗ ·Machine learning-assisted exploration and experimental assessment of β-type Ti54-xZr15Nb14Mo17Cux alloy with an ultra-low modulus for orthopedic applications
Journal of Materials Science · 2026
Jiantao Liu, Ni Jin, Y. Y. Zhang, Jun Cheng, Aofei Xu, Xingda Huang, Xudong Liu, Yixuan He
Read original paper ↗ ·Advances in graph neural networks for alloy design and properties predictions: a review
Journal of Materials Informatics · 2026
Zhede Zhao, Tao Hu, Shuyu Bi, Dongwei Guan, Songzhe Xu, Chaoyue Chen, Weidong Xuan, Zhongming Ren
Read original paper ↗ ·Machine learning-driven new paradigm for Co-based superalloys
Journal of Materials Informatics · 2026
Jiahao Luo, Xili liu, Qingshuang Ma, Chenghao Pei, Huiwen Yao, Jie Xiong, Qiuzhi Gao
Read original paper ↗ ·Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing
Advanced Science · 2026
Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu
Read original paper ↗ ·Prediction of impact damage to Fe-based amorphous coatings via interpretable machine learning
The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics · 2026
Hui Guo, Wenhai Sun, Mingsheng Wang, Xingxing Zhou, W. T. Lu, Limin Xu
Read original paper ↗ ·Generative Design for Alloys: Harnessing Generative Models for Faster Discovery
Advanced Materials · 2026
Li Cheng, Yuehui Xian, Yumei Zhou, Xiangdong Ding, Jun Sun, Dezhen Xue
Read original paper ↗ ·Revolutionizing multi-scale phase identification in superalloys via advanced CNN-transformer integration
Materials Characterization · 2026
Liming Tan, Zi Wang, Yongan Gui, Jiahao Tu, Lan Huang, Weifu Li, Yong Liu, Feng Liu
Read original paper ↗ ·Machine learning-assisted design of lightweight refractory high-entropy alloys: A comprehensive review
Metals Advances · 2026
Lei Chen, Gang Qin, Yao Chen, Qi Ming Wang, Liang Wang, Yanqing Su, Ruirun Chen
Read original paper ↗ ·Investigating the effects of extrusion temperature and speed on the mechanical properties of high-strength Al-Mg-Si alloys using machine learning methods
Materials Science and Engineering A · 2026
Jie Li, Lingying Ye, Yu Wang, Yuhui Wang, Guotong Zou, Tao Duan, Jianguo Tang
Read original paper ↗ ·Machine learning technique for prediction of crystal structure in austenitic and martensitic phase of Ni–Mn-based Heusler alloys
International Journal of Modern Physics B · 2026
Soumyadipta Pal, Ayan Kumar Panja
Read original paper ↗ ·A comprehensive review of machine learning for superalloys: from data-driven prediction to intelligent design
Progress in Natural Science Materials International · 2026
Linlin Sun, Jie Xiong, Qingshuang Ma, Chenghao Pei, Huijun Li, Qiuzhi Gao
Read original paper ↗ ·Integration of machine learning and traditional methods for accurate prediction of hot deformation behavior in TC4-Ce titanium alloy
Journal of Materials Science · 2026
R. M. J. Li, Siqi Xue, Ruyi Ji, Leying Chen, Jian Mao
Read original paper ↗ ·Prediction of mechanical properties of magnesium alloys through machine learning: a review
Emerging Materials Research · 2026
A. Packia Antony Amalan, N Renugadevi
Read original paper ↗ ·Machine Learning for Alloy Design: A Property-Oriented Review
Alloys · 2026
Shamim Pourrahimi, Soroosh Hakimian
Read original paper ↗ ·Denoising diffusion probabilistic model-based tabular data augmentation for improved phase classification of high-entropy alloys
Acta Materialia · 2026
Libin Zhang, Yoon Suk Choi
Read original paper ↗ ·A multidimensional continuous conditional generative adversarial network to link composition-process-microstructure-properties in Mg alloys
Acta Materialia · 2026
Xu Qin, Qinghang Wang, Jianchuan Yan, Biaobiao Yang, Yuhui Zhang, Bin Jiang, Javier LLorca
Read original paper ↗ ·Physics-informed machine learning for mapping of composition and mechanical properties in 316L/AlCrFeNi multi-material alloys fabricated by directed energy deposition
Virtual and Physical Prototyping · 2026
Zihan Zhu, Rui Wang, Ning Li, Zhaoyu Pan, Kai Miao, Sheng Huang, Qingyu Li, Dichen Li
Read original paper ↗ ·Modeling High-Entropy Alloys: Challenges, Progress, and Future Directions
Annual Review of Materials Research · 2026
Maryam Ghazisaeidi, Raymundo Arróyave, Céline Varvenne
Read original paper ↗ ·Interpretable corrosion rate prediction and rational design of amorphous alloy coatings: a deep learning framework with DenseLoss and SHAP interpretability
Applied Physics A · 2026
Zhuoxin Yang, Zhilin Long, Lidong You
Read original paper ↗ ·Machine learning driven discovery of low modulus biomedical titanium alloys for additive manufacturing
Nature Communications · 2026
Jinlong Su, Fulin Jiang, Jin‐Ming Wu, Yuehua Li, Ri Han, Lu Wang, Raymond Chung Wen Wong, Jian Wang, Swee Leong Sing
Read original paper ↗ ·Machine learning driven advances in hardness prediction and artificial intelligence based phase classification in aluminium-high entropy alloy systems
Journal of Alloys and Compounds · 2026
Kartikeyan K T, Nachimuthu Radhika, Pradeep Kumar S
Read original paper ↗ ·Deliberation of using alloy as high temperature thermal energy storage material for concentrated solar power applications – A comprehensive review
Journal of Energy Storage · 2026
Manikandan Krishnamurthy, A. Sreekumar
Read original paper ↗ ·Machine learning-assisted interpretable and leakage-resistant prediction of PVA/HA hydrogel mechanical properties under small-sample conditions
Polymer · 2026
Chuang Zhang, Weiwei Lan, Shijie Ding, Jun Li, Junchao Wei, W. Y. Chen, Di Huang
Read original paper ↗ ·Enhancing multi-component alloy composition prediction based on generative adversarial networks and proximal policy optimization
Scientific Reports · 2026
Shun-li Zhang, Shaobin Bai, Wen-jing Shang, Qing Liu, Peng Yu
Read original paper ↗ ·Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
Materials Genome Engineering Advances · 2026
Yunze Jia, Yuehui Xian, Yangyang Xu, Pengfei Dang, Xiangdong Ding, Jun Sun, Yumei Zhou, Dezhen Xue
Read original paper ↗ ·Challenges and opportunities in machine learning for metal additive manufacturing: data scarcity and interpretability
Materials Today · 2026
Kai Guo, Songzhe Xu, Chang Sun, Wentao Yan, Jinhui Yan, Hao Yu, C Q Wang, Wei Xu, Jinguo Li, Zhongnan Bi, Tao Hu, Ruixin Zhao, Jiang Wang, Chaoyue Chen, Zhongming Ren
Read original paper ↗ ·Discovering Hidden Relationships of Alloy Properties with Manifold Learning
Integrating materials and manufacturing innovation · 2026
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang
Read original paper ↗ ·A survey of machine learning applications for Mg alloys: A promising prospect for current trends and future directions
Solid State Communications · 2026
Atwakyire Moses, Wang Xuefeng, Qiao Huang, Juanyun Li, Bin Wang, Yanming Huang, Behangana Albert, Usito Twine Bakesigakyi, Ezkihel T. Tefera, Ding Chen
Read original paper ↗ ·Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches
Applied Sciences · 2026
Pooya Parvizi, Alireza Mohammadi Amidi, Mohammad Reza Zangeneh, Mohammad Javad Beigrezaee, Jordi‐Roger Riba, Milad Jalilian
Read original paper ↗ ·Review: next-generation metal hydride systems for sustainable hydrogen storage—kinetics, nanostructuring, and intelligent materials discovery
Journal of Materials Science · 2026
Ashutosh Das, Arka Ghosh, Bansod Sneha Bharat, Nityananda Sahoo, Uddeshya Shukla, Parth Patel, Kalyani Tiwari, S.S.K. Deepak, Bappa Das, Pankaj Shrivastava, Velaphi Msomi
Read original paper ↗ ·Application and challenges of artificial intelligence technology in ODS steel research: A review
Review of Materials Research · 2026
Yuanchen Su, Conghui Zhang, Shuaiyang Liu, Wenguang Zhu
Read original paper ↗ ·Advancing breakthrough design of superior strength-ductility synergy of lead-free solder alloys via interpretable machine learning and iterative optimization
Materials & Design · 2026
Jianchao Liang, Ruyu Tian, Zexi Wang, Yuqing Ran, Qing Sun, Shang Wang, Chunfang Zi, Weijun Li, Baolei Liu, Yanhong Tian
Read original paper ↗ ·Multimodal adaptive machine learning to assist design of non-heat treatable high pressure die-casting Al-Si alloys
Transactions of Materials Research · 2026
Huawei Zhang, Hongyi Zhu, Zeyu Bian, Cunjuan Xia, Zhe Chen, Haowei Wang, Haowei Wang
Read original paper ↗ ·Intelligent visualization-driven materials design via two-dimensional symbolic feature generation
Journal of Materials Informatics · 2026
Wei Yong, Hongtao Zhang, Zhuang Li, Jie He, Chubo Chen, Yaxin Gao, Huadong Fu, Jianxin Xie
Read original paper ↗ ·Data-driven design of lightweight alloys: A comprehensive review and a challenge
Metals Advances · 2026
Tianhao Li, Zhini Yan, Haoyang Xie, Ziyuan Rao, Xiaoqin Zeng
Read original paper ↗ ·Multi-model structure-agnostic framework for enhanced materials discovery in engineering informatics
Advanced Engineering Informatics · 2026
Altaf Hussain, Muhammad Munsif, Zulfiqar Ahmad Khan, Kaleem Ullah, Kee‐Sun Sohn, Sung Wook Baik
Read original paper ↗ ·Transfer learning-enabled high-precision prediction and multi-objective design of cryogenic aluminum alloys with enhanced strength-ductility synergy
Transactions of Materials Research · 2026
Jusha Sun, Huan Li, Denis O. Pustovoytov, Alexander Pesin, Hailiang Yu
Read original paper ↗ ·Data-driven multi-objective optimization for corrosion-resistant Fe-Cr-Ni-Al system multi-principal element alloys and its corrosion behavior
Intermetallics · 2026
Longfei Sun, Puchang Cui, Xinghua Chen, L.B. Liu, 赵荣达, Fufa Wu
Read original paper ↗ ·Inclusion-microstructure-hydrogen trap synergy in pipeline steels: From hydrogen trapping kinetics to microalloying design against hydrogen-induced damage: A critical review
Corrosion Science · 2026
Haocong An, Tianqi Chen, Yongfeng Chen, Xiaogang Li, Chao Liu
Read original paper ↗ ·Utilizing hybrid BIGRU-LIGHTGBM model for mechanical characteristics prediction in aluminium alloys
International Journal of Material Forming · 2026
Lakshmi Rajan P., Sujatha I., Arun M. S.
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 ↗ ·Synchronously enhancing the corrosion resistance and hardness of novel Zn-Al alloy via an improved interpretable machine learning framework
Electrochimica Acta · 2026
Lu Ren, Chun-zhi Pan, Wenwen Lin, Tuman Zhang, Yue Lv, Jianxing Zhou, Ka Chun Chan, Yuk Lun Chan, Yanwei CHEN, Hainan Wang, Wei JIAN
Read original paper ↗ ·Machine Learning for Structural Steels: Materials Design, Property Prediction, Durability, and Future Directions
Materials · 2026
Guomin Wei, Minghe Li, Bo Cui, Wencui Xiu, Asmawan Mohd Sarman
Read original paper ↗ ·Data-Driven Phase Prediction of BCC Refractory High-Entropy Alloys for Advanced Engineering Applications
Transactions of the Indian Institute of Metals · 2026
Himanshu Sharma, Kasi Raja Rao, Sandeep Jain, Reliance Jain
Read original paper ↗ ·Data-driven modeling on design and frictional response of high-entropy alloys through material composition variation
Tribology International · 2026
Hammad Ahmad, Wenxiang Zhao, Mazullah, Lijing Xie, Zhiping Xiong, Usama Umer, Muhammad Saad Ul Haq
Read original paper ↗ ·