Papers citing Machine learning of mechanical properties of steels
Influence of human activity on landslide susceptibility development in the Three Gorges area
Natural Hazards · 2020
Yongwei Li, Xianmin Wang, Hang Mao
Read original paper ↗ ·Computational screening of the magnetocaloric materials
Handbook of magnetic materials · 2021
Ivan Batashev, G. A. de Wijs, E. Brück
Read original paper ↗ ·Development of robust surfaces for harsh service environments from the perspective of phase formation and transformation
Journal of Materials Informatics · 2021
Ming Lou, Kai Xu, Leilei Chen, Chengyuan Hong, Yuan Yuan, Yujie Du, Yong Gang Du, Keke Chang
Read original paper ↗ ·Modelling IF Steels Using Artificial Neural Networks and Automated Machine Learning
Advances in intelligent systems and computing · 2021
Douglas Macedo Sgrott, Fabrício Moreira Cerqueira, Fabiano J. F. Miranda, José Francisco Silva Filho, Rafael Stubs Parpinelli
Read original paper ↗ ·Deep learning-assisted elastic isotropy identification for architected materials
Extreme Mechanics Letters · 2021
Anran Wei, Jie Xiong, Weidong Yang, Fenglin Guo
Read original paper ↗ ·Efficient parameters identification of a modified GTN model of ductile fracture using machine learning
Engineering Fracture Mechanics · 2021
Dong Chen, Yazhi Li, Xuan Yang, Wei Jiang, Lingxiao Guan
Read original paper ↗ ·Innovative Processes in Managing an Enterprise from the Energy and Food Sector in the Era of Industry 4.0
Processes · 2021
Piotr F. Borowski
Read original paper ↗ ·Machine learning of phases and mechanical properties in complex concentrated alloys
Journal of Material Science and Technology · 2021
Jie Xiong, San‐Qiang Shi, Tong‐Yi Zhang
Read original paper ↗ ·Multi-task learning and data augmentation for negative thermal expansion materials property prediction
Materials Today Communications · 2021
Zeng Yi, He Cao, Qiubao Ouyang, Quan Qian
Read original paper ↗ ·Study on strengthening effects of Zr-Ti-Nb-O alloys via high throughput powder metallurgy and data-driven machine learning
Materials & Design · 2021
Shengping Si, Bojian Fan, Xuemei Liu, Tian Zhou, Chuan He, Dandan Song, Jinxu Liu
Read original paper ↗ ·Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
Structures · 2021
Weiying Fan, Yao Chen, Jiaqiang Li, Yue Sun, Jian Feng, Hany S. Hassanin, Pooya Sareh
Read original paper ↗ ·Machine learning for alloys
Nature Reviews Materials · 2021
Gus L. W. Hart, Tim Mueller, Cormac Toher, Stefano Curtarolo A
Read original paper ↗ ·Explicit expressions of the saturation flux density and thermal stability in Fe-based metallic glasses based on Lasso regression
Intermetallics · 2021
Zhuang Li, Zhilin Long, Shan Lei, Lingming Yang, Wei Zhang, Ting Zhang
Read original paper ↗ ·Data-driven phase recognition of steels for use in mechanical property prediction
Manufacturing Letters · 2021
Bin Zhang, Yung C. Shin
Read original paper ↗ ·A Prediction Method of Fracture Toughness of Nickel-Based Superalloys
Computer Systems Science and Engineering · 2021
Yabin Xu, Lulu Cui, Xiaowei Xu
Read original paper ↗ ·Data-Driven Prediction of Probabilistic S-N Curves for Steels Based Oncomposition and Processing Parameters
SSRN Electronic Journal · 2022
Lei Gan, Zheng Zhong, Hao Wu
Read original paper ↗ ·Review on Data-driven Method for Property Prediction of Iron and Steel Wear-resistant Materials
Journal of Mechanical Engineering · 2022
Yuan Liu, WEI Shizhong
Read original paper ↗ ·SISSO-assisted prediction and design of mechanical properties of porous graphene with a uniform nanopore array
Nanoscale Advances · 2022
Anran Wei, Han Ye, Zhenlin Guo, Jie Xiong
Read original paper ↗ ·Using MARS for modeling and predicting tensile strength of low alloy steels
AIP conference proceedings · 2022
Snezhana Georgieva Gocheva-Ilieva
Read original paper ↗ ·Using machine-learning to understand complex microstructural effects on the mechanical behavior of Ti-6Al-4V alloys
Computational Materials Science · 2022
Cameron McElfresh, Collin Roberts, Sicong He, Sergey V. Prikhodko, Jaime Marian
Read original paper ↗ ·A data-driven machine learning approach to predict the hardenability curve of boron steels and assist alloy design
Journal of Materials Science · 2022
Xiaoxiao Geng, Zhuo Cheng, Shuize Wang, Chongkuo Peng, Asad Ullah, Hao Wang, Guilin Wu
Read original paper ↗ ·Accelerated Earth-Rockfill Dam Compaction by Collaborative Operation of Unmanned Roller Fleet
Journal of Construction Engineering and Management · 2022
Mengnan Shi, Jiajun Wang, Qihu Li, Bo Cui, Shiwei Guan, Tuocheng Zeng
Read original paper ↗ ·A weighted fuzzy C-means clustering method for hardness prediction
Journal of Iron and Steel Research International · 2022
Yuan Liu, Shizhong Wei
Read original paper ↗ ·New insight in predicting martensite start temperature in steels
Journal of Materials Science · 2022
Zhuang Yan, Li Li, Lin Cheng, Xingyu Chen, Kaiming Wu
Read original paper ↗ ·CPSO-XGBoost segmented regression model for asphalt pavement deflection basin area prediction
Science China Technological Sciences · 2022
Zhuoxuan Li, Xinli Shi, Jinde Cao, Xudong Wang, Wei Huang
Read original paper ↗ ·Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
Automation in Construction · 2022
Shanaka Kristombu Baduge, Sadeep Thilakarathna, Jude Shalitha Perera, Mehrdad Arashpour, Pezhman Sharafi, Bertrand Teodosio, Ankit Shringi, Priyan A. Mendis
Read original paper ↗ ·Identifying facile material descriptors for Charpy impact toughness in low-alloy steel via machine learning
Journal of Material Science and Technology · 2022
Yimian Chen, Shuize Wang, Jie Xiong, Guilin Wu, Junheng Gao, Yuan Wu, Guoqiang Ma, Hong‐Hui Wu, Xinping Mao
Read original paper ↗ ·Establishing reduced-order process-structure linkages from phase field simulations of dendritic grain growth during solidification
Computational Materials Science · 2022
Jiajun Zhao, Junjie Li, Xiaobing Hu, Yujian Wang, Yiming Chen, Feng He, Zhijun Wang, Zhanglong Zhao, Jincheng Wang
Read original paper ↗ ·Machine learning of the mechanical properties and data-driven design of lead-free solder alloys
Scientia Sinica Technologica · 2022
Hao Yuan, Bin Cao, Kangdong You, Ziqiang Dong, Tong‐Yi Zhang, Jubo Peng, Shanshan Cai, Xiaobin Luo, Chen LIU, JiaJun WANG
Read original paper ↗ ·Machine Learning-Based Modelling and Meta-Heuristic-Based Optimization of Specific Tool Wear and Surface Roughness in the Milling Process
Axioms · 2022
Siamak Pedrammehr, Mahsa Hejazian, Mohammad Reza Chalak Qazani, Hadi Parvaz, Sajjad Pakzad, Mir Mohammad Ettefagh, Adeel H. Suhail
Read original paper ↗ ·A Strategic Approach to Machine Learning for Material Science: How to Tackle Real-World Challenges and Avoid Pitfalls
Chemistry of Materials · 2022
Piyush Karande, Brian J. Gallagher, T. Yong-Jin Han
Read original paper ↗ ·Accelerated Discovery of Ternary Gold Alloy Materials with Low Resistivity via an Interpretable Machine Learning Strategy
Chemistry - An Asian Journal · 2022
Xiangdong Wang, Tian Lu, Wenyan Zhou, Xiaobo Ji, Wencong Lu, Jiong Yang
Read original paper ↗ ·Ensemble Learning for Predicting the Tensile Strength of Alloy Steels from Chemical Composition and Processing Parameters
International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) · 2022
Hristina N. Kulina, Mariana Koleva-Petrova, Snezhana Georgieva Gocheva-Ilieva
Read original paper ↗ ·Predictions of Root Tensile Strength for Different Vegetation Species Using Individual and Ensemble Machine Learning Models
Lecture notes in civil engineering · 2022
Tarun Semwal, P. Priyanka, Praveen Kumar I, Varun Dutt, Kala Venkata Uday
Read original paper ↗ ·Machine Learning Based Sintered Density Prediction of Bronze Processed by Powder Metallurgy Route
Metals and Materials International · 2022
Tafzeelul Kamal, Gouthama, Anish Upadhyaya
Read original paper ↗ ·Data driven discovery of an analytic formula for the life prediction of Lithium-ion batteries
Progress in Natural Science Materials International · 2022
Jie Xiong, Tong-Xing Lei, Da-Meng Fu, Junwei Wu, Tong‐Yi Zhang
Read original paper ↗ ·Gaussian process regressions on hot deformation behaviors of FGH98 nickel-based powder superalloy
Journal of Material Science and Technology · 2022
Jie Xiong, Jianchao He, Xuesong Leng, Tong‐Yi Zhang
Read original paper ↗ ·A computational method for the load spectra of large-scale structures with a data-driven learning algorithm
Science China Technological Sciences · 2022
XianJia Chen, Zheng Yuan, Qiang Li, Shouguang Sun, Yujie Wei
Read original paper ↗ ·Fiber-Reinforced Polymer Confined Concrete: Data-Driven Predictions of Compressive Strength Utilizing Machine Learning Techniques
Applied Sciences · 2022
Filippos D. Sofos, Christos G. Papakonstantinou, Maria Valasaki, Theodoros E. Karakasidis
Read original paper ↗ ·Ensemble models for predicting the hardness of alloy steels
AIP conference proceedings · 2023
Mariana Koleva-Petrova, Hristina N. Kulina, Georgy Dobrev, Snezhana Georgieva Gocheva-Ilieva
Read original paper ↗ ·A Cluster and Search Stacking Algorithm (CSSA) for predicting the ultimate bearing capacity of an HSS column
Acta Mechanica · 2023
Zhaoyi He, Yuting Peng, J. Han, Enxian Zhou, Bing Li, Eric Li
Read original paper ↗ ·Understanding oxidation of Fe-Cr-Al alloys through explainable artificial intelligence
MRS Communications · 2023
Indranil Roy, Bojun Feng, Subhrajit Roychowdhury, Sandipp Krishnan Ravi, Rajnikant V. Umretiya, Christopher Reynolds, Sayan Ghosh, Raúl B. Rebak, Andrew Hoffman
Read original paper ↗ ·Discovering a formula for the high temperature oxidation behavior of FeCrAlCoNi based high entropy alloys by domain knowledge-guided machine learning
Journal of Material Science and Technology · 2023
Qinghua Wei, Bin Cao, Lucheng Deng, Ankang Sun, Ziqiang Dong, Tong‐Yi Zhang
Read original paper ↗ ·Predicting Synthesizability using Machine Learning on Databases of Existing Inorganic Materials
ACS Omega · 2023
Ruiming Zhu, Siyu Isaac Parker Tian, Zekun Ren, Jiali Li, Tonio Buonassisi, Kedar Hippalgaonkar
Read original paper ↗ ·Application of Machine Learning to Regression Analysis of a Large SMA Weld Metal Database
Welding Journal · 2023
American Welding Society, RAJAN VARADARAJAN, Krishnaswamy Sampath
Read original paper ↗ ·Prediction and optimization of mechanical properties of Ni based and Fe–Ni based super alloys via neural network approach with alloying composition parameter
Journal of Materials Research and Technology · 2023
Jaka Fajar Fatriansyah, Iping Suhariadi, Haya Ayu Fauziyyah, Ibnu Rais Syukran, Fernanda Hartoyo, Donanta Dhaneswara, Zainovia Lockman, Andrian Fauzi, Muhammad Syaikh Rohman
Read original paper ↗ ·Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
Archives of Computational Methods in Engineering · 2023
Dimitrios Angelis, Filippos D. Sofos, Theodoros E. Karakasidis
Read original paper ↗ ·Property prediction for high-chromium high-vanadium steel based on transfer component analysis with few-shot guided
Journal of Materials Research and Technology · 2023
Yuan Liu, Shizhong Wei, Tao Jiang
Read original paper ↗ ·Machine learning-driven stress integration method for anisotropic plasticity in sheet metal forming
International Journal of Plasticity · 2023
Piemaan Fazily, Jeong Whan Yoon
Read original paper ↗ ·Improved material descriptors for bulk modulus in intermetallic compounds via machine learning
Rare Metals · 2023
Dexin Zhu, Kunming Pan, Yuan Wu, Xiaoye Zhou, Xiang‐Yue Li, Yongpeng Ren, Sairu Shi, Hua Yu, Shizhong Wei, Hong‐Hui Wu, Xusheng Yang
Read original paper ↗ ·