Papers citing Dramatically Enhanced Combination of Ultimate Tensile Strength and Electric Conductivity of Alloys via Machine Learning Screening
Explainable machine learning in materials science
npj Computational Materials · 2022-09-22
Xiaoting Zhong, Brian J. Gallagher, Shusen Liu, Bhavya Kailkhura, Anna M. Hiszpanski, T. Yong-Jin Han
Read original paper ↗ ·Hot-deformation kinetics analysis and extrusion parameter optimization of a dilute rare-earth free magnesium alloy
Journal of Magnesium and Alloys · 2022-09-28
Qinghang Wang, Haowei Zhai, Zhaoyang Jin, Junjie He, Yang Qin, Wenjun Liu, Yulong Li, Daolun L. Chen
Read original paper ↗ ·Machine learning assisted design of high-strength Sn-3.8Ag-0.7Cu alloys with the co-additions of Bi and In
Materials Science and Engineering A · 2022-10-31
Ziqiang Dong, Kangdong You, Hao Yuan, Yanjie Wu, Yandong Jia, Gang Wang, Jubo Peng, Shanshan Cai, Xiaobin Luo, Chen Liu, Jiajun Wang
Read original paper ↗ ·Machine learning accelerates the materials discovery
Materials Today Communications · 2022-11-09
Jiheng Fang, Ming Xie, Xingqun He, Jiming Zhang, Jieqiong Hu, Yongtai Chen, Youcai Yang, Qinglin Jin
Read original paper ↗ ·Accelerating phase prediction of refractory high entropy alloys via machine learning
Physica Scripta · 2022-11-15
Nan Qu, Yan Zhang, Yong Liu, Mingqing Liao, Tianyi Han, Danni Yang, Zhonghong Lai, Jingchuan Zhu, Liang Yu
Read original paper ↗ ·Fatigue life evaluation model for various austenitic stainless steels at elevated temperatures via alloy features‐based machine learning approach
Fatigue & Fracture of Engineering Materials & Structures · 2022-11-21
Lei He, Wei Yong, Huadong Fu, Takamoto Itoh
Read original paper ↗ ·Prediction and optimization of CuCrZr microhardness based on PSO-ensemble learning model
International Conference on Information Systems and Computing Technology (ISCTech) · 2022-12-01
Hanxing Jiang, Mingjiao Li, Qingshen Yu, Yulu Jiao, Yang Deng
Read original paper ↗ ·Interpretable machine learning workflow for evaluation of the transformation temperatures of TiZrHfNiCoCu high entropy shape memory alloys
Materials & Design · 2022-12-17
Shiyu He, Yanming Wang, Zhengyang Zhang, Fei Xiao, Shungui Zuo, Ying Zhou, Xiaorong Cai, Xuejun Jin
Read original paper ↗ ·A Hierarchical Multiscale Crystal Plasticity Model for Strengthening Mechanism and Deformation Behavior of Refractory Multi-Principal Element Alloys
SSRN Electronic Journal · 2023-01-01
Weizheng Lu, Yang Chen, Wei Zhang, Fusheng Tan, Jia Li, Jia Li, Qihong Fang, Peter Kaehuei Liaw
Read original paper ↗ ·Accelerated discovery of cost-effective Nd–Fe–B magnets through adaptive learning
Journal of Materials Chemistry A · 2023-01-01
Jie Chen, Jian Liu, Minjuan Zhang, Zhanji Dong, Zhongjie Peng, Xinyi Ji, Mei Liu, Lanting T. Zhang, Anqi Zhang, Hong Min Zhu
Read original paper ↗ ·Accelerated Prediction of Stacking Fault Energy in Fcc Medium Entropy Alloys Using Artificial Neural Networks: Correlation and Feature Analysis
SSRN Electronic Journal · 2023-01-01
Swati Mahato, Nilesh Prakash Gurao, Krishanu Biswas
Read original paper ↗ ·Development of Key Technologies for Intelligent Research and Development of New Materials
Strategic Study of CAE · 2023-01-01
Yanjing Su, Mingli Yang, Weili Zhu, Kechao Zhou, Dezhen Xue, Hong Wang, Jianxin Xie
Read original paper ↗ ·Discovery of thermosetting polymers with low hygroscopicity, low thermal expansivity, and high modulus by machine learning
Journal of Materials Chemistry A · 2023-01-01
Xinyao Xu, Wenlin Zhao, Yaxi Hu, Liquan Wang, Jiaping Lin, Huimin Qi, Lei Du
Read original paper ↗ ·Exploration without Explanation: A Conceptual Critique of Black-Box Materials Discovery
Journal of Artificial Intelligence for Materials Science · 2023-01-01
Hiroshi Tanaka, Yuki Sato, Kenji Mori, Rina Okabe
Read original paper ↗ ·Machine Learning Design of Aluminum-Lithium Alloys with High Strength
Computers, materials & continua/Computers, materials & continua (Print) · 2023-01-01
Hongxia Wang, Zhiqiang Duan, Qingwei Guo, Yongmei Zhang, Yuhong Zhao
Read original paper ↗ ·Multimodal Data-Driven Design of Low Pressure Die Casting Gating System for Aluminum Alloy Cabin
SSRN Electronic Journal · 2023-01-01
Zhiqiang Duan, Weipeng Chen, Xiaolong Pei, Hua Hou, Yuhong Zhao
Read original paper ↗ ·Attaining exceptional electrical conductivity in Cu-Fe composite by powder rolling strategy
Scripta Materialia · 2023-01-11
Yanzhong Tian, Shan Peng, Yong Li Yang, Xueyong Pang, Song Li, Minqiang Jiang, H.X. Li, Jiangwei Wang, Gaowu W. Qin
Read original paper ↗ ·Predicting the hardness of high-entropy alloys based on compositions
International Journal of Refractory Metals and Hard Materials · 2023-01-20
Qingwei Guo, Yue Pan, Hua Hou, Yuhong Zhao
Read original paper ↗ ·Impact Performance Prediction and Optimization of a Circumferentially Corrugated Tube with Variable Wall Thickness Using Support Vector Machine
Machines · 2023-02-02
Zhixiang Li, Chengxing Yang, Shuguang Yao
Read original paper ↗ ·A Critical Review of Machine Learning Techniques on Thermoelectric Materials
The Journal of Physical Chemistry Letters · 2023-02-10
Xiangdong Wang, Ye Sheng, Jinyan Ning, Jinyang Xi, Lili Xi, Di Qiu, Jiong Yang, Xuezhi Ke
Read original paper ↗ ·A rapid and effective method for alloy materials design via sample data transfer machine learning
npj Computational Materials · 2023-02-22
Lei Jiang, Zhihao Zhang, Hao Hu, Xingqun He, Huadong Fu, Jianxin Xie
Read original paper ↗ ·Exploring the relationship between lattice distortion and phase stability in a multi-principal element alloy system based on machine learning method
Computational Materials Science · 2023-02-26
Jiaxin Huang, Wei Fang, Congcong Xue, Tiexu Peng, Haoyang Yu, Jia Li, Liying Sun, Xinbo He, Baoxi Liu, Yong Gang Yang, Fuxing Yin
Read original paper ↗ ·Cyclic softening in nonlocal shells—A data-driven graph-gradient plasticity approach
Extreme Mechanics Letters · 2023-03-01
Daoping Liu, Hang Yang, Khalil I. Elkhodary, Shan Tang, Xu Guo
Read original paper ↗ ·Knowledge-aware design of high-strength aviation aluminum alloys via machine learning
Journal of Materials Research and Technology · 2023-03-09
Juan Yong-fei, Guoshuai Niu, Yang Yang, Dai Yong-Bing, Zhang Jiao, Han Yan-feng, Sun Bao-de
Read original paper ↗ ·Data-driven design of Ni-based turbine disc superalloys to improve yield strength
Journal of Material Science and Technology · 2023-03-17
Bin Xu, Haiqing Yin, Xue Feng Jiang, Cong Zhang, Ruijie Zhang, Yongwei Wang, Xuanhui Qu, Zhenghua Deng, Guoqiang Yang, Dil Faraz Khan
Read original paper ↗ ·Prediction Model of Yield Strength of V–N Steel Hot-rolled Plate Based on Machine Learning Algorithm
JOM · 2023-03-21
Zongxiang Shi, Linxiu Du, Xin He, Xiuhua Gao, Hongyan Wu, Yang Liu, Heng Ma, Xiaoxin Huo, Xuehui Chen
Read original paper ↗ ·Data-driven optimization of hardness and toughness of high-entropy nitride coatings
Ceramics International · 2023-04-01
Shaoyu Wu, Xiaoqian Xu, Shani Yang, Jingwen Qiu, Alex A. Volinsky, Xiaolu Pang
Read original paper ↗ ·Insight into the Influence of Alloying Elements on the Elastic Properties and Strengthening of Copper: A High-Throughput First-Principles Calculations
Metals · 2023-05-01
Jinhao Zhang, Youcheng Zhang, Aiqin Wang, Tingting Liang, Zhiping Mao, Bo Su, Haisheng Li, Jingpei Xie
Read original paper ↗ ·Searching for medium entropy alloys with desired mechanical property by adaptive design combined with experiments
International Journal of Refractory Metals and Hard Materials · 2023-05-01
Xuefei Wang, Hong Luo, Qiancheng Zhao, Hongxu Cheng, Zhimin Pan, Xiaogang Li
Read original paper ↗ ·Simultaneous enhancement in mechanical and corrosion properties of Al-Mg-Si alloys using machine learning
Journal of Material Science and Technology · 2023-06-17
Xinming Feng, Zhilei Wang, Lei Jiang, Fan Zhao, Zhihao Zhang
Read original paper ↗ ·CALPHAD-assisted composition and processing design of high-strength and high-conductivity copper alloy
Materials Science and Engineering A · 2023-07-07
Qi Yang, Zhilei Wang, Xingyu Xiao, Jianxin Xie
Read original paper ↗ ·Core Electron Count as a Versatile and Accurate New Descriptor for Sorting Mechanical Properties of Diverse Transition Metal Compounds
Advanced Materials · 2023-07-17
Rui Zhang, Xinlei Gu, Kan Zhang, Xinxin Gao, Chang Liu, Changfeng Chen
Read original paper ↗ ·Interpretable Machine Learning Workflow for Evaluating and Analyzing the Performance of High-Entropy GeTe-Based Thermoelectric Materials
ACS Applied Electronic Materials · 2023-07-27
Wenzhao Li, Mingji Liu
Read original paper ↗ ·Machine learning assisted phase and size-controlled synthesis of iron oxide particles
Chemical Engineering Journal · 2023-08-05
Juejing Liu, Zimeng Zhang, Xiaoxu Li, Meirong Zong, Yining Wang, Suyun Wang, Ping Chen, Zaoyan Wan, Lili Liu, Yangang Liang, Wei Wang, Shiren Wang, Xiaofeng Guo, Emily Saldanha, Kevin M. Rosso, Xin Zhang
Read original paper ↗ ·Optimal Design of the Austenitic Stainless-Steel Composition Based on Machine Learning and Genetic Algorithm
Materials · 2023-08-15
Chengcheng Liu, Xuandong Wang, Weidong Cai, Jiahui Yang, Hang Su
Read original paper ↗ ·Effect of in on Fe phase morphology and properties of Cu-Fe alloy
Materials Science and Technology · 2023-08-21
Dawei Yuan, Zhenxia Liu, Chengjun Guo, Hao Ping Zeng, Jianbo Zhang, Mingmao Li, Bingfeng Peng, Bin Yang
Read original paper ↗ ·Tensile Strength Prediction of Gray Cast Iron for Cylinder Head Based on Microstructure and Machine Learning
steel research international · 2023-08-31
Xiaoyuan Teng, J.C. Pang, Feng Liu, Chenglu Zou, Shouxin Li, Zhefeng Zhang
Read original paper ↗ ·Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations
Results in Materials · 2023-09-01
Desmond Edem Primus Klenam, Tabiri Kwayie Asumadu, Mobin Vandadi, Nima Rahbar, Fred McBagonluri, Winston Oluwole Soboyejo
Read original paper ↗ ·Comprehensive elemental screening of solid-solution copper alloys
Science and Technology of Advanced Materials Methods · 2023-09-04
Kenji Yamaguchi, Takuya Ishigaki, Yuki Inoue, Shuhei Arisawa, Hirotaka Matsunoshita, Yuki Ito, Hiroyuki Mori, Kenichiro Suehiro, Kazunari Maki, Kenji Nagata, Masahiko Demura
Read original paper ↗ ·Machine Learning Aided Prediction and Design for the Mechanical Properties of Magnesium Alloys
Metals and Materials International · 2023-09-13
Shuya Dong, Yingying Wang, Jinya Li, Yuanyuan Li, Li Wang, Jinglai Zhang
Read original paper ↗ ·An Effective Framework for Predicting Performance of Solid-Solution Copper Alloys Using a Feature Engineering Technique in Machine Learning
Metals · 2023-09-25
Tiehan Fan, Jianxin Hou, Jian Hu
Read original paper ↗ ·A multimodal data-driven design of low pressure die casting gating system for aluminum alloy cabin
Journal of Materials Research and Technology · 2023-10-11
Zhiqiang Duan, Weipeng Chen, Xiao-long Pei, Hua Hou, Yuhong Zhao
Read original paper ↗ ·Divide and conquer: Machine learning accelerated design of lead-free solder alloys with high strength and high ductility
npj Computational Materials · 2023-10-23
Qinghua Wei, Bin Cao, Hao Yuan, Youyang Chen, Kangdong You, Shuting Yu, Tixin Yang, Ziqiang Dong, Tong‐Yi Zhang
Read original paper ↗ ·Machine Learning-Based Hardness Prediction of High-Entropy Alloys for Laser Additive Manufacturing
JOM · 2023-10-26
Wenhan Zhu, Wenyi Huo, Shiqi Wang, Ł. Kurpaska, Feng Fang, Stefanos Papanikolaou, Hyoung Seop Kim, Jianqing Jiang
Read original paper ↗ ·Unveiling glass forming ability patterns in bulk metallic glasses via advanced machine learning approaches
Journal of Non-Crystalline Solids · 2023-11-07
Juhi Verma, Pawan Bohane, Jatin Bhatt, Ajeet Kumar Srivastav
Read original paper ↗ ·Integrating machine learning and CALPHAD method for exploring low‐modulus near‐β‐Ti alloys
Rare Metals · 2023-11-10
Hao Lin Zou, Yueyan Tian, Ligang Zhang, Ren‐Hao Xue, Zixuan Deng, Mingming Lu, Jianxin Wang, Libin Liu
Read original paper ↗ ·Microstructures, electrical and mechanical properties of an ODS-Cu alloy containing multi-scale complex oxides
Materials Science and Engineering A · 2023-11-13
Sixiang Zhao, Guowei Song, Tingxiao Zhang
Read original paper ↗ ·Heterogeneous metallic glass composites with a unique combination of strength, plasticity and conductivity
International Journal of Plasticity · 2023-11-15
Weizong Bao, Longke Bao, Jie Chen, Junzhi Li, Tao Xiang, Bohua Yu, Zeyun Cai, Guoqiang Xie
Read original paper ↗ ·Prediction of the Fatigue Strength of Steel Based on Interpretable Machine Learning
Materials · 2023-11-26
Chengcheng Liu, Xuandong Wang, Weidong Cai, Jiahui Yang, Hang Su
Read original paper ↗ ·Research on composition-process-property prediction of die casting Al alloys via combining feature creation and attention mechanisms
Journal of Materials Research and Technology · 2023-11-30
Jian Lin Yang, Bo Liu, Haiyou Huang
Read original paper ↗ ·