Papers citing Recent applications of machine learning in alloy design: A review
Machine Learning Assisted Design of High Thermal Conductivity and High Strength Mg Alloys
Metallurgical and Materials Transactions A · 2025-03-03
Huafeng Liu, Taiki Nakata, Chao Xu, Deli Zhao, Lin Zhu, Nan Qu, Haoyang Ding, Kun-kun Deng, Kai-bo Nie, Tao Liu, Guangze Tang, Xiaojun Wang, S. Kamado, Lin Geng
Read original paper ↗ ·An interpretable and reliable framework for alloy discovery in thermomechanical processing
Materials Today Communications · 2025-03-12
Sushant Sinha, Xiaoping Ma, Kashif Rehman, Narges Armanfard, Stephen Yue
Read original paper ↗ ·Realization and Inverse Design of Multifunctional Steerable Transflective Linear-to-Circular Polarization Converter Empowered by Machine Learning
Electronics · 2025-03-16
Yilin Xie, Jia Liu, Cheng Chen, Zhihao Li, Shilei Tian, Jixin Wang, Wu Yun Zhao, Johan H. Stiens
Read original paper ↗ ·Integration of multiscale simulations and machine learning for predicting dendritic microstructures in solidification of alloys
Acta Materialia · 2025-03-22
Sepideh Kavousi, Mohsen Asle Zaeem
Read original paper ↗ ·Influence of Alloy Composition on the Tribomechanical Properties of 50% Blend of CoCrWMoCFeNiSiMn (Stellite 1) and CoCrMoCFeNiSiMn (Stellite 21) Alloys
Journal of Materials Engineering and Performance · 2025-03-24
Rehan Ahmed, Vikas Kumar, Nadimul Haque Faisal, M. Marri, Sean Davies
Read original paper ↗ ·145Chapter 6 Future trends and research challenges in smart alloys
De Gruyter eBooks · 2025-04-02
Shrikant Verma, Sangita Gupta, Sunita Kumari
Read original paper ↗ ·Accelerated material discovery of high-performance Mg alloys via active learning and high throughput multi-objective informed Bayesian optimization
Materials Today Communications · 2025-04-09
Atwakyire Moses, Ying Gui, Ding Chen
Read original paper ↗ ·High-throughput design strategy for creep-resistance steel using machine learning and optimization algorithm
Materials Today Communications · 2025-04-09
Chengbo Pan, Chenchong Wang, Yuqi Zhang, Xiaolu Wei, Wei Xu
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 ↗ ·Bayesian optimization and explainable machine learning for High-dimensional multi-objective optimization of biodegradable magnesium alloys
Journal of Material Science and Technology · 2025-04-23
Peng Peng, Chunyi Peng, Fuguo Liu, Shuai Long, Cheng Zhang, Ai Tao Tang, Jia She, Jianyue Zhang, Fusheng Pan
Read original paper ↗ ·Atomic Energy Accuracy of Neural Network Potentials: Harnessing Pretraining and Transfer Learning
Journal of Chemical Information and Modeling · 2025-05-05
Gang Seob Jung
Read original paper ↗ ·Explainable machine learning for predicting tensile properties of aluminum alloys in the laser powder bed fusion process
Materials Science and Engineering A · 2025-05-13
Abdul Wahid Shah, Kang Wang, Jabir Ali Siddique, Javid Hussain, Wenfang Li
Read original paper ↗ ·Influence of voids structure parameters on frost resistance of phase change concrete: ICT non – destructive testing and machine learning
Construction and Building Materials · 2025-05-16
Fang Liu, Jidong Hu, Ran Tang, Xiaosa Yuan, Yi Ting Yang, Hua Cheng
Read original paper ↗ ·Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning
Advanced Intelligent Discovery · 2025-05-16
Amanda Susan Barnard
Read original paper ↗ ·Machine Learning Unveils the Impacts of Key Elements and Their Interaction on the Ambient-Temperature Tensile Properties of Cast Titanium Aluminides Employing SHAP Analysis
Crystals · 2025-05-16
Shiqiu Liu, Liang Li
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 ↗ ·Machine learning-driven alloy digital design for hydrogen storage: a review
Digital Twin · 2025-06-05
Tianqi Liu, Lufeng Xue, Bo Ci Cheng, Yu Zhao, Bang Dou, Marcelo Paredes, Lu-Kai Song
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 ↗ ·DSMR: an AI framework for exploring combinations of data and algorithm to overcome efficiency-accuracy trade-off
Journal of Materials Informatics · 2025-06-24
Jianhua Chen, Junwei Chen, Boyu Zhao, Yunying Fan, Zhigang Yu, Jun Peng Luan, Kuo‐Chih Chou
Read original paper ↗ ·AAKAN-WGAN: Predicting mechanical properties of magnesium alloys based on generative design and adaptive activation of Kolmogorov-Arnold Networks
Materials Today Communications · 2025-06-25
Yehu Shen, Jiahao Du, Yifan He, Hezhe Wang, Ting Hao, Xuemei Niu, Q.K. Jiang
Read original paper ↗ ·Additive manufacturing metallurgy guided machine learning design of versatile alloys
Materials Today · 2025-06-27
Jinlong Su, Lequn Chen, Steven Van Petegem, Fulin Jiang, Qinzhi Li, Junhua Luan, Swee Leong Sing, Jian Wang, Chaolin Tan
Read original paper ↗ ·Machine learning for obtaining values of thermomechanical processing parameters of high-entropy alloys with desirable strength and ductility
Intermetallics · 2025-06-27
Zolfaghar Ali Akhlaghi, Hamed Shahmir, Ahmad R. Sharafat
Read original paper ↗ ·Composition Design of a Novel High-Temperature Titanium Alloy Based on Data Augmentation Machine Learning
Materials · 2025-06-30
Xiu Li Fu, Boya Li, Binguo Fu, Tian-shun Dong, Jingkun Li
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 ↗ ·Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space
Advanced Intelligent Discovery · 2025-07-11
Mohammad Abu‐Mualla, Ellis Crabtree, fredrick michael, Yayue Pan, Jida Huang
Read original paper ↗ ·Machine Learning Approaches for Heat Treatment in Thermal Manufacturing Processes: A Review
ASME Journal of Heat and Mass Transfer · 2025-07-31
Adib Bazgir, Yuwen Zhang
Read original paper ↗ ·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 ↗ ·Accelerated design and property validation of L12-strengthened Co-Ni-Cr-Al-Cu-Ti high-entropy superalloys based on unsupervised and supervised learning
Journal of Material Science and Technology · 2025-08-06
Shengkun Xi, Qiuling Tao, Zhou Li, Jiahui Li, Longke Bao, Cuiping Wang, Rongpei Shi, Haijun Zhang, Jinxin Yu, Zhifu Yao, Xiaoyu Chong, Xingjun Liu
Read original paper ↗ ·Multi-objective optimization of corrosion resistance, strength, ductility properties of weathering steel utilizing interpretable attention-based deep learning model
npj Materials Degradation · 2025-08-06
Bingxiao Shi, Xin Guo, Luntao Wang, Wenbo Huang, Hong Luo, Lizhi Qin, Guowei Yang, Xuequn Cheng, Xiaogang Li
Read original paper ↗ ·Research on microstructure and corrosion resistance of hypoeutectic Al-5Mg-2Si-xMn alloys based on machine learning
Materials Today Communications · 2025-08-13
Jiyuan Li, Jiyuan Li, Zhao Zuofu, Xiang Li, Zewang Ren, Pin Wu, Junting Mao, Bin Wang, Ziyi Gao
Read original paper ↗ ·Data-driven design of Al–Fe alloys for laser powder bed fusion to enhance recycled aluminum utilization
Journal of Alloys and Compounds · 2025-08-26
Abdul Wahid Shah, Jabir Ali Siddique, Umar Daraz, Saif Haider Kayani, Javid Hussain, Ghulam Mudassir, Kang Wang, Wenfang Li
Read original paper ↗ ·A physics-informed machine learning framework for accelerated discovery of single-phase B2 multi-principal element intermetallics
npj Computational Materials · 2025-08-27
Weijiang Zhao, Zhaoqi Chen, Yinghui Shang, Qing Wang, Li Wang, Bin Liu, Yong Liu, Yong Gang Yang
Read original paper ↗ ·Review: Recent progress in titanium alloys development via machine learning and high-throughput preparation
Journal of Materials Science · 2025-09-06
Feiyang Gao, Weiwen Zhang, Xiaotao Liu, Xuan Luo, Zhi Wang, Ning Li, L.H. Liu
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 ↗ ·Elucidating the key drivers of twin formation in copper alloys via a small-sample AutoML framework
Physica Scripta · 2025-09-09
Zongfan Wei, Yong Gang Xie, Waqas Akhtar, Nan Qu, Yong Liu, Yuchen Xiao, Ling Sun, Baoan Wu, Jingchuan Zhu
Read original paper ↗ ·Analysis of thermal conductivity of aluminum alloys by compositions and tempering process using machine learning
Scientific Reports · 2025-09-29
Adnan Roshid Shawon, Rittika Ghosh, Md Ashraful Islam
Read original paper ↗ ·BO2L: Two-Layer Bayesian Optimization for Geographical Traveling Salesman Problem
Process Integration and Optimization for Sustainability · 2025-09-29
Tipaluck Krityakierne
Read original paper ↗ ·Amorphous High-Entropy Alloys as Innovative Materials for Hydrogen Energy: State of the Art and Development Prospects
Russian Metallurgy (Metally) · 2025-10-01
В. А. Полухин, С. Х. Эстемирова
Read original paper ↗ ·Machine learning approach to predict Curie temperature in binary alloys
Journal of Magnetism and Magnetic Materials · 2025-10-07
Svitlana Ponomarova, Oleksandr Ponomarov, Yurii Koval
Read original paper ↗ ·Achieving simultaneous strength-ductility enhancement of Sn Bi alloys via ultrasonic hierarchical refinement
Materials Characterization · 2025-10-09
Hao Yuan, Xiaoliang Ji, Chunqing Zha, Jun Li, Zhaohui Xu, Gonghui Liu, Fu Guo
Read original paper ↗ ·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 ↗ ·Recent advances in machine learning-driven discovery of alloy electrocatalysts for hydrogen evolution reaction
Chinese Chemical Letters · 2025-10-24
Na Qin, Wenxin Guo, Fangxiu Li, Houfeng Zhang, Houfeng Zhang, Hong Liu, Chang Zhang, Chang Zhang, Lipiao Bao, Lei Liu, Muneerah Amer Alomar, Siqi Zhao, Jian Zhang, Xing Lu
Read original paper ↗ ·Integrated design framework for titanium aluminides through interpretable machine learning
Journal of Alloys and Compounds · 2025-11-08
Shakti P. Padhy, Karl Peter Davidson, Li Ping Tan, Vijaykumar B. Varma, Vinay K. Sharma, Xiao Tan, Yuefan Wei, Xuesong Xu, Kedar Hippalgaonkar, Mark Hyunpong Jhon, Raju V. Ramanujan
Read original paper ↗ ·Physical feature guided design of refractory high entropy alloys for strength-plasticity synergy across wide strain rates
Scripta Materialia · 2025-11-08
Wei Wu, Jingjing Xu, Fuhua Cao, Yanwen Zhang, Yiren Wang, Zheng Peng, Yan Chen, Lan-Hong Dai
Read original paper ↗ ·Fatigue Life Prediction of 7075-T6 Clad Al Alloy with Gray Wolf Optimization-Limit Gradient Boosting
Journal of Materials Engineering and Performance · 2025-11-10
Quanlong Zhou, Weibing Dai, Zhaoji Li, Haitao Yue, Qiang Li, Chenguang Guo, Jianzhuo Zhang, Wenhan Zhang, Wenchao Huang
Read original paper ↗ ·Synchronized molecular dynamics-machine learning framework for tailoring mechanical properties of FeNiCr medium entropy alloys
Vacuum · 2025-11-11
Wenshang Ma, Wen‐Hua Sun, Chuanyu Zhang, Jun Jiang, Junjie Yu, Baobin Xie, Jia Li
Read original paper ↗ ·Data-driven optimization strategy for the mechanical properties of ZM5 alloy
Journal of Alloys and Compounds · 2025-11-23
Ming Ji, Yongmei Zhang, Xiaolong Pei, Yuhong Zhao, Gaolong Zhang, Hua Hou
Read original paper ↗ ·Early Diagnostics of Alloys For Spinodal Decomposition: A Case of Preventive Prediction of Phase Delamination in an Irregular Fe-Cr-C Solid Solution (The Design Stage)
Engineering Perspective · 2025-11-25
Gigo V. Jandieri, Giorgi Gordeziani
Read original paper ↗ ·Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework
Next research. · 2025-12-01
Desmond Edem Primus Klenam
Read original paper ↗ ·Machine learning-driven design of high-strength ductile Al-Si alloys for casting applications
Materials Science and Engineering A · 2025-12-10
Chang Han, Hongfeng Huang, Lili Wei, Xuandong Chen, Enbang Li, Ming Qiu, Shuangwu Song, Zhouzhou Zhao
Read original paper ↗ ·