Papers citing Recent applications of machine learning in alloy design: A review
Current application status of multi-scale simulation and machine learning in research on high-entropy alloys
Journal of Materials Research and Technology · 2023
Deyu Jiang, Lechun Xie, Liqiang Wang
Read original paper ↗ ·3D-printed microfluidic system for the in situ diagnostics and screening of nanoparticles synthesis parameters
Micro and Nano Engineering · 2023
В. В. Шаповалов, Sergei V. Chapek, Andrei A. Tereshchenko, Aleksei N. Bulgakov, Anton Pavlovich Bagliy, В. В. Волков, Petr Valeryevich Konarev, Mikhail A. Soldatov, Sergey A. Soldatov, Alexander Alexandrovich Guda, Alexander V. Soldatov
Read original paper ↗ ·Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations
Results in Materials · 2023
Desmond Edem Primus Klenam, Tabiri Kwayie Asumadu, Mobin Vandadi, Nima Rahbar, Fred McBagonluri, Winston Oluwole Soboyejo
Read original paper ↗ ·Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique
Materials Today Communications · 2023
Sheetal Kumar Dewangan, Cheenepalli Nagarjuna, Reliance Jain, Rameshwar L. Kumawat, Vinod Kumar, Ashutosh Sharma, Byungmin Ahn
Read original paper ↗ ·Machine Learning in Enhancing Corrosion Resistance of Magnesium Alloys: A Comprehensive Review
Metals · 2023
Yanbing Guo, Mingze Sun, Wang Zhang, Lvyuan Wang
Read original paper ↗ ·Development of High-Strength Mg–Gd–Y Alloy Based on Machine Learning Method
The minerals, metals & materials series · 2024
Yunchuan Cheng, Zhihua Dong, Yuan Peng, Zhi-Ying Zheng, Xiaoying Qian, Cuihong Wang, Bin Jiang, Fusheng Pan
Read original paper ↗ ·Neural Networks for Prediction of Swelling in Austenitic Steels Irradiated by Fast Neurons
SSRN Electronic Journal · 2024
Pavel Yu. Korotaev, Alexey V. Yanilkin
Read original paper ↗ ·Unsupervised learning and pattern recognition in alloy design
Digital Discovery · 2024
Ninad Bhat, N. Birbilis, Amanda Susan Barnard
Read original paper ↗ ·Enhancing the mechanical properties of high-entropy alloys through severe plastic deformation: A review
Journal of Alloys and Metallurgical Systems · 2024
Majid Naseri, Ahmad Ostovari Moghadam, Mariappan Anandkumar, Shanmugavel Sudarsan, Evgenii Bodrov, Marina Nikolaevna Samodurova, Evgeny Alekseevich Trofimov
Read original paper ↗ ·Accelerated design of high-performance Mg-Mn-based magnesium alloys based on novel bayesian optimization
Journal of Magnesium and Alloys · 2024
Xiaoxi Mi, Lili Dai, Xuerui Jing, Jia She, Bjørn Holmedal, Aitao Tang, Fusheng Pan
Read original paper ↗ ·The Prediction of Flow Stress in the Hot Compression of a Ni-Cr-Mo Steel Using Machine Learning Algorithms
Processes · 2024
Tao Pan, Chengmin Song, Zhiyu Gao, Tian Xia, Tianqi Wang
Read original paper ↗ ·A Comprehensive Review of Machine Learning Application Across Different Domains
International Conference on Disruptive Technologies (ICDT) · 2024
Praveen Kumar Joshi, Rahul Prakash, Arun Kumar
Read original paper ↗ ·Review on Cellular Automata for Microstructure Simulation of Metallic Materials
Materials · 2024
Ying Zhi, Yao Jiang, Diwen Ke, Xianlei Hu, Xianghua Liu
Read original paper ↗ ·Machine learning-based performance predictions for steels considering manufacturing process parameters: a review
Journal of Iron and Steel Research International · 2024
Wei Fang, Jiaxin Huang, Tiexu Peng, Yang Long, Fuxing Yin
Read original paper ↗ ·Estimating the lattice thermal conductivity of AlCoCrNiFe high-entropy alloy using machine learning
Journal of Applied Physics · 2024
Jie Lu, Xiaona Huang, Yanan Yue
Read original paper ↗ ·Multivariate Gaussian process surrogates for predicting basic structural parameters of refractory non-dilute random alloys
APL Machine Learning · 2024
Cesar Ruiz, Anshu Raj, Shuozhi Xu
Read original paper ↗ ·Comparison of Predictive Modeling Concrete Compressive Strength with Machine Learning Approaches
UKaRsT · 2024
Gregorius Airlangga
Read original paper ↗ ·Development of Neural Networks to Study Flow Behavior of Medium Carbon Microalloyed Steel during Hot Forming
Metals · 2024
Anas Al Omar, Pau Català, José Ignacio Alcelay Larrión, Esteban Peña Pitarch
Read original paper ↗ ·Design of advanced steels by integrated computational materials engineering
Materials Genome Engineering Advances · 2024
Xiao‐Gang Lu, Yanlin He, Weisen Zheng
Read original paper ↗ ·Customised product design optimisation considering module synergy effects and expert preferences
International Journal of Production Research · 2024
Zhen He, Mengyuan Han, Shuguang He
Read original paper ↗ ·Assessment of Bayesian guidance strategy to develop bake-hardening ferritic steel
Philosophical Magazine Letters · 2024
Rajdeep Sarkar, Shiv Brat Singh, Amlan Dutta
Read original paper ↗ ·Designing unique and high-performance Al alloys via machine learning: Mitigating data bias through active learning
Computational Materials Science · 2024
Mingwei Hu, Qiyang Tan, Ruth Knibbe, Miao Xu, Guofang Liang, Jianxin Zhou, Jun Xu, Bin Jiang, Xue Li, Mahendra Ramajayam, Thomas Dorin, Mingxing Zhang
Read original paper ↗ ·Tribo-informatics analysis of in-situ TiC reinforced ZA27 alloy: Microstructural insights and wear performance modeling by machine learning
Tribology International · 2024
Khursheed Ahmad Sheikh, Mohammad Mohsin Khan
Read original paper ↗ ·Prediction and analysis of mechanical properties of hot-rolled strip steel based on an interpretable machine learning
Materials Today Communications · 2024
Xiaojun Wang, Xu Li, Hao Yuan, Na Zhou, Haishen Wang, Wenjian Zhang, Yafeng Ji
Read original paper ↗ ·Discovery of novel materials through machine learning
Journal of Physics Condensed Matter · 2024
Akinwumi Akinpelu, Mangladeep Bhullar, Yansun Yao
Read original paper ↗ ·Machine Learning Algorithms for Prediction and Characterization of Cohesive Zone Parameters for Mixed-Mode Fracture
Journal of Composites Science · 2024
Arash Ramian, Rani F. Elhajjar
Read original paper ↗ ·Morphogenic Modeling of Corrosion Reveals Complex Effects of Intermetallic Particles
Advanced Science · 2024
Bruno Carreira Batista, Elena Romanovskaia, Valentin Romanovski, Emmanuel Michael, James T. Burns, Ji Ma, István Z. Kiss, John R. Scully, Oliver Steinbock
Read original paper ↗ ·Preparation of a novel laser cladding Ni-based alloy with promising applications in high-temperature conditions: Genetic design, multi-phase evolution, and synergy mechanism
Additive manufacturing · 2024
Youcai Zhang, Suiyuan Chen, Yue Wang, Jialu Chen, Ting Wang, Tong Cui, Jing Liang, Xiaotao Sun
Read original paper ↗ ·Large Language Models as Molecular Design Engines
Journal of Chemical Information and Modeling · 2024
Debjyoti Bhattacharya, Harrison J. Cassady, Michael A. Hickner, Wesley F. Reinhart
Read original paper ↗ ·Density Functional Theory and Machine Learning of Transition Metals in Mo2C for Gas Sensors
ACS Applied Nano Materials · 2024
Weiguang Huang, Zhongzhou Dong, Long Lin
Read original paper ↗ ·Neural networks for prediction of swelling in austenitic steels irradiated by fast neutrons
Computational Materials Science · 2024
Pavel Yu. Korotaev, Alexey V. Yanilkin
Read original paper ↗ ·Investigation of age-hardening behaviour of Al alloys via feature screening-assisted machine learning
Materials Science and Engineering A · 2024
Mingwei Hu, Qiyang Tan, Ruth Knibbe, Bin Jiang, Xue Li, Mingxing Zhang
Read original paper ↗ ·Enhancing high-fidelity neural network potentials through low-fidelity sampling
APL Machine Learning · 2024
Gang Seob Jung
Read original paper ↗ ·Fatigue Life Prediction of 2024-T3 Al Alloy by Integrating Particle Swarm Optimization—Extreme Gradient Boosting and Physical Model
Materials · 2024
Zhaoji Li, Haitao Yue, Ce Zhang, Weibing Dai, Chenguang Guo, Qiang Li, Jianzhuo Zhang
Read original paper ↗ ·Superconductor Discovery in the Emerging Paradigm of Materials Informatics
Chemistry of Materials · 2024
Tran Doan Huan, Hieu‐Chi Dam, Christopher Künneth, Vu Ngoc Tuoc, Hiori Kino
Read original paper ↗ ·Inverse prediction of Al alloy post-processing conditions using classification with guided oversampling
Machine Learning Science and Technology · 2024
Amanda Susan Barnard
Read original paper ↗ ·Recent machine learning-driven investigations into high entropy alloys: A comprehensive review
Journal of Alloys and Compounds · 2024
Yonggang Yan, Xunxiang Hu, Yalin Liao, Yanyao Zhou, Wenhao He, Ting Zhou
Read original paper ↗ ·Achieving sustainability by additive manufacturing: a state-of-the-art review and perspectives
Virtual and Physical Prototyping · 2024
Jinlong Su, Wei Long Ng, Jia An, Wai Yee Yeong, Chee Kai Chua, Swee Leong Sing
Read original paper ↗ ·Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods
iScience · 2024
Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl Peter Davidson, Xuesong Xu, Varun Chaudhary, Raju V. Ramanujan
Read original paper ↗ ·Alloy design for 3D-printed shape memory alloys
Elsevier eBooks · 2025
Maryam Mohri, Christian Leinenbach
Read original paper ↗ ·Artificial intelligence-driven revolution in nanozyme design: from serendipity to rational engineering
Materials Horizons · 2025
Yixin Yu, Mingzhen Zhang, Kelong Fan
Read original paper ↗ ·Machine Learning for the Design of High Entropy Alloys: A Review
World Scientific Annual Review of Functional Materials · 2025
Si Rong Ng, Verner Soh, Zhongji Sun, Pei Wang, Chee Koon Ng
Read original paper ↗ ·Machine Learning-Based Methods for Materials Inverse Design: A Review
Computers, materials & continua/Computers, materials & continua (Print) · 2025
Yingli Liu, Yuting Cui, Haihe Zhou, Tao Shen, Sheng Lei, Haibin Yuan, Jiancheng Yin
Read original paper ↗ ·Performance-Driven Inverse Design of Mg-Mn-Based Wrought Magnesium Alloys Based on Conditional Generative Adversarial Networks and Small Sample Dataset
SSRN Electronic Journal · 2025
Xiaoxi Mi, Zhengqi Mi, Tao Chen, Peng Peng, Xiong Wei Wu, Aitao Tang, Fusheng Pan
Read original paper ↗ ·Amorphous-dominated MgO hollow spheres enhanced fluoride adsorption: Mechanism analysis and machine learning prediction
The Journal of Chemical Physics · 2025
Lin Fan, Dexi Wang, Honglei Yu, Jinyuan Guo, Yan Gang He
Read original paper ↗ ·Online mechanical property prediction and automatic product release for hot rolled steel strip products using artificial neural network models
Ironmaking & Steelmaking Processes Products and Applications · 2025
Yongjun Lan, D. Figueroa-Gordon, Terry-Louise Betambeau, Richard Underhill
Read original paper ↗ ·Prediction of post-irradiation swelling rate of 316L stainless steel based on Variational Autoencoders and interpretable machine learning
Nuclear Materials and Energy · 2025
Chengcheng Liu, Hang Su
Read original paper ↗ ·A Novel Aluminium Alloys Design Strategy for Low Usage of Critical Raw Materials and High Casting Processibility for Automotive Applications
International Journal of Metalcasting · 2025
Osama Asghar, Mattia Franceschi, Paolo Ferro, Franco Bonollo
Read original paper ↗ ·Accelerated design of high-entropy alloy coatings for high corrosion resistance via machine learning
Surface and Coatings Technology · 2025
Hongxu Cheng, Hong Luo, Chunhui Fan, Xuefei Wang, Chengtao Li
Read original paper ↗ ·Deep learning-aided preparation and mechanism revaluation of waste wood lignocellulose-based flame-retardant composites
International Journal of Biological Macromolecules · 2025
Kongjie Gu, Xingying Zhang, Zhiqiang Dong, Hongyun Chen, Manqi Xu, Zhuolin Sun, Shenjie Han, Jieyu Zhang, Youming Yu, Junfeng Hou
Read original paper ↗ ·