Papers citing A property-oriented design strategy for high performance copper alloys via machine learning
An Effective Framework for Predicting Performance of Solid-Solution Copper Alloys Using a Feature Engineering Technique in Machine Learning
Metals · 2023
Tiehan Fan, Jianxin Hou, Jian Hu
Read original paper ↗ ·Hydrothermal ageing of carbon fiber reinforced polymer composites applied for construction: A review
Journal of Materials Research and Technology · 2023
Xiao Qi, Jingwei Tian, Guijun Xian
Read original paper ↗ ·Rational designs of mechanical metamaterials: Formulations, architectures, tessellations and prospects
Materials Science and Engineering R Reports · 2023
Jie Gao, Xiaofei Cao, Xiaofei Cao, Mi Xiao, Yang Zhi-qiang, Xiaoqiang Zhou, Ying Li, Liang Gao, Wentao Yan, Timon Rabczuk, Yiu‐Wing Mai
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
Qinghua Wei, Bin Cao, Hao Yuan, Youyang Chen, Kangdong You, Shuting Yu, Tixin Yang, Ziqiang Dong, Tong‐Yi Zhang
Read original paper ↗ ·Softening Behavior and Hardness Prediction of H13 Hot‐Work Die Steel during Isothermal Tempering
steel research international · 2023
Hao Feng, Haijian Wang, Huabing Li, Wei‐Chao Jiao, Hong‐Chun Zhu, Shucai Zhang, Zhouhua Jiang
Read original paper ↗ ·OCPMDM 2.0: An intelligent solution for materials data mining
Chemometrics and Intelligent Laboratory Systems · 2023
Dongping Chang, Pengcheng Xu, Minjie Li, Wencong Lu
Read original paper ↗ ·Enhanced mechanical properties and strengthening mechanism of Cu-Ni-Si alloy with trace chromium addition
Materials Today Communications · 2023
Ying-Huan Li, Shuai-Feng Chen, Hongwu Song, Shihong Zhang
Read original paper ↗ ·The Deformation Response of a Functional Four-Cylinder Reciprocating Engine using Finite Element Analysis and Surrogate Model
Journal of Engineering Science and Technology Review · 2023
Theddeus T. Akano, Oladotun Samuel Osasuyi, Harrison Okechukwu Onovo
Read original paper ↗ ·Deep Learning in Computational Design Synthesis: A Comprehensive Review
Journal of Computing and Information Science in Engineering · 2023
Shubhendu Singh, Rahul Rai, Raj Pradip Khawale, Darshil Patel, Dustin Bielecki, Ryan Nguyen, Jun Wang, Zhibo Zhang
Read original paper ↗ ·Alloy design for laser powder bed fusion additive manufacturing: a critical review
International Journal of Extreme Manufacturing · 2023
Zhuangzhuang Liu, Qihang Zhou, Xiaokang Liang, Xiebin Wang, Guichuan Li, Kim Vanmeensel, Jianxin Xie
Read original paper ↗ ·A statistical perspective for predicting the strength of metals: Revisiting the Hall–Petch relationship using machine learning
Acta Materialia · 2023
Yejun Gu, Christopher D. Stiles, Jaafar A. El‐Awady
Read original paper ↗ ·Perspectives on Theoretical Models and Molecular Simulations of Polymer Brushes
Langmuir · 2023
Yijing Tang, Yonglan Liu, Dong Zhang, Jie Zheng
Read original paper ↗ ·Conceptual Foundations of Applied AI in Materials Science - Definitions, Assumptions, and Open Debates
Journal of Artificial Intelligence for Materials Science · 2024
Hiroshi Tanaka, Yuki Sato, Kenji Mori, Rina Okabe
Read original paper ↗ ·ConvFeatNet ensemble: Integrating microstructure and pre-defined features for enhanced prediction of porous material properties
Materials Science and Engineering A · 2024
Yuhai Li, Tianmu Li, Longwen Tang, Shiyu Ma, Qinglin Wu, Puneet Gupta, Mathieu Bauchy
Read original paper ↗ ·Inverse design machine learning model for metallic glasses with good glass-forming ability and properties
Journal of Applied Physics · 2024
Kesong Li, M. Z. Li, Weihua Wang
Read original paper ↗ ·Data-Driven Study on Thermal Shock Resistance Prediction of Copper Alloys
Journal of Materials Engineering and Performance · 2024
Mohammed Shahbaz Quraishy, Tarun Kumar Kundu
Read original paper ↗ ·Simultaneous enhancement of the mechanical and electrical properties of Cu20Fe alloys by introducing phosphorus
Materials Characterization · 2024
Chenzeng Zhang, Cunguang Chen, Ruiting Ma, Mengjie Yan, Haifeng Zhang, Feixiang Liu, Fang Yang, Zhimeng Guo, Xinhua Liu
Read original paper ↗ ·Mitigating the efficiency-voltage trade-off in magnesium air battery via a novel active learning framework
Applied Surface Science · 2024
Hongxing Liang, Kang Yang, Chenchen Zhao, Chuantian Zhai, Liang Wu, Wenbo Du
Read original paper ↗ ·Accelerated design of Al−Zn−Mg−Cu alloys via machine learning
Transactions of Nonferrous Metals Society of China · 2024
Yongfei Juan, Guoshuai Niu, Yang Yang, Zi-han XU, Jian Jun Yang, Wenqi Tang, Haitao Jiang, Yanfeng Han, Yongbing Dai, Jiao ZHANG, Baode Sun
Read original paper ↗ ·The design method for surface texture of sliding friction pairs based on machine learning under mixed lubrication
Tribology International · 2024
Zhenshun Li, Jiaqi Li, Ben An, Jiaqi Li
Read original paper ↗ ·Machine learning-assisted efficient design of Cu-based shape memory alloy with specific phase transition temperature
International Journal of Minerals Metallurgy and Materials · 2024
Mengwei Wu, Wei Yong, Cunqin Fu, Chun-Mei Ma, Ruiping Liu
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 ↗ ·Design of high performance Cu-Ni-Si alloys via a multiobjective strategy based on machine learning
Materials Today Communications · 2024
Zhiyang Qin, Hongliang Zhao, Shuya Zhang, Yuheng Fan, Xianglei Dong, Zishuo Lan, Xiaobing Hu, Yang Song, Chunwen Guo
Read original paper ↗ ·Enhanced combination of mechanical and electrical properties of a Cu-Cr-Zr alloy by optimized two-step thermomechanical treatment
Materials Today Communications · 2024
Feixiang Liu, Feixiang Liu, Fan Zhao, Weihao Liu, Xinhua Liu, Guoliang Xie, Xinhua Liu
Read original paper ↗ ·Unveiling thermal stresses in RETaO4 (RE = Nd, Sm, Eu, Gd, Tb, Dy, Ho and Er) by first-principles calculations and finite element simulations
Acta Materialia · 2024
Mengdi Gan, Xiaoyu Chong, Tianlong Lu, Chao Yang, Wei Jie Yu, Shun‐Li Shang, Yi Wang, Zi‐Kui Liu, Jing Feng
Read original paper ↗ ·A review on copper alloys with high strength and high electrical conductivity
Journal of Alloys and Compounds · 2024
Qingzhong Mao, Yanfang Liu, Yonghao Zhao
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 ↗ ·Improving Support Vector Regression for Predicting Mechanical Properties in Low-Alloy Steel and Comparative Analysis
Mathematics · 2024
Zhongyuan Che, Chong Peng
Read original paper ↗ ·Determination of hardness and Young's modulus in fcc Cu–Ni–Sn–Al alloys via high-throughput experiments, CALPHAD approach and machine learning
Journal of Materials Research and Technology · 2024
Wenli Zhang, Ying Tang, Jinghan Gao, Lijun Zhang, Jian Ding, Xingchuan Xia
Read original paper ↗ ·Inversely optimized design of Al-Mg-Si alloys using machine learning methods
Computational Materials Science · 2024
Qiqi Shen, Qiao Yin, Hongliang Zhao, Shuya Zhang, Yuheng Fan, Xianglei Dong, Chunwen Guo
Read original paper ↗ ·Acceleration of Superpave Mix Design: Solving Multi-Objective Optimization Problems Using Machine Learning and the Non-Dominated Sorting Genetic Algorithm-II
Transportation Research Record Journal of the Transportation Research Board · 2024
Jian Liu, Fangyu Liu, Linbing Wang
Read original paper ↗ ·A New Lead-Free Copper Alloy CuAl8Fe5Ni4Zn4Sn1 for Plain Bearings and Its Strengthening Mechanisms
Metals · 2024
Björn Reetz, Tileman Münch
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 ↗ ·Predictive Modeling and Analysis of Cu–Be Alloys: Insights into Material Properties and Performance
ChemEngineering · 2024
Mihail Kolev
Read original paper ↗ ·Design of chromium-vanadium steel based on design loop combining property-oriented design criteria and machine learning prediction model
Journal of Materials Research and Technology · 2024
Yuan Liu, Shizhong Wei, Tao Jiang
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 ↗ ·ASaRE-Net: automatic information extraction from Al-Si alloy materials science literature for corpus construction
Journal of Materials Science · 2024
Yingli Liu, Shaojie Wen, Jiancheng Yin, Haihe Zhou
Read original paper ↗ ·Osteoinductive biomaterials: Machine learning for prediction and interpretation
Acta Biomaterialia · 2024
Sicong Lin, Sicong Lin, Yan Zhuang, Ke Chen, Jian Lü, Kefeng Wang, Lin Han, Mufei Li, Mufei Li, Xiangfeng Li, Xiangdong Zhu, Mingli Yang, Guangfu Yin, Jiangli Lin, Xingdong Zhang
Read original paper ↗ ·Artificial Intelligence Applications in Composites: A Survey
Archives of Computational Methods in Engineering · 2024
Ercüment Öztürk, Ayfer Dönmez Çavdar, Tuğrul Çavdar
Read original paper ↗ ·Achieving high strength and high-electrical-conductivity of Cu-Ni-Si alloys via regulating nanoprecipitation behavior through simplified process
Journal of Material Science and Technology · 2024
Wenli Xue, Guoliang Xie, Xiaxu Huang, Jinyu Liang, Sheng Li Guo, Xinhua Liu, Xiongjun Liu
Read original paper ↗ ·Functional molecules surface segregation engineering in electrospinning: Design, regulation, and applications
Chemical Engineering Journal · 2024
Linlin Cao, Chen Qu, Jingchong Liu, Jingchong Liu, Wenhui Li, Lihua Jiang, Boyu Jing, Chuandong Wu, Jiemin Liu, Jiemin Liu
Read original paper ↗ ·Applications of machine learning method in high-performance materials design: a review
Journal of Materials Informatics · 2024
Junhao Yuan, Zhen Li, Yujia Yang, Anyi Yin, Wenjie Li, Dan Sun, Qing Wang
Read original paper ↗ ·A Review on the Application of Superalloys Composition, Microstructure, Processing, and Performance via Machine Learning
JOM · 2024
Junhui Zhang, Haiyan Gao, Yahui Liu, Jun Wang
Read original paper ↗ ·Empowering the Sustainable Development of High‐End Alloys via Interpretive Machine Learning
Advanced Materials · 2024
Hongtao Zhang, Huadong Fu, Weidong Li, Lei Jiang, Wei Yong, Jingtai Sun, Long‐Qing Chen, Jianxin Xie
Read original paper ↗ ·Accelerating spin Hall conductivity predictions via machine learning
Materials Genome Engineering Advances · 2024
Jinbin Zhao, Junwen Lai, Jiantao Wang, Yi‐Chi Zhang, Junlin Li, Xing‐Qiu Chen, Peitao Liu
Read original paper ↗ ·Accelerated composition-process-properties design of precipitation-strengthened copper alloys using machine learning based on Bayesian optimization
Materials Research Letters · 2024
Longjian Li, Jinchuan Jie, Xiaoyu Guo, Gaojie Liu, Huijun Kang, Zongning Chen, Enyu Guo, Tongmin Wang
Read original paper ↗ ·Advances in machine learning methods in copper alloys: a review
Journal of Molecular Modeling · 2024
Yingfan Zhang, Shue Dang, Huiqin Chen, Hui Li, Juan Chen, Xiaotian Fang, Tenglong Shi, Xuetong Zhu
Read original paper ↗ ·Multi-model integration accelerates Al-Zn-Mg-Cu alloy screening
Journal of Materials Informatics · 2024
Yanru Yuan, Yudong Sui, Pengfei Li, Meng Quan, Hao Zhou, Aoyang Jiang
Read original paper ↗ ·In silico design and prediction of metastable quaternary phases in Cu–Ni–Si–Cr alloys
APL Machine Learning · 2024
Ángel Díaz Carral, Simon Gravelle, Maria Fyta
Read original paper ↗ ·Physics-coupled data-driven design of high-temperature alloys
Acta Materialia · 2024
Sun Yong Kwon, Yukinori Yamamoto, Jian Peng, Michael P. Brady, Thomas R. Watkins, J. Allen Haynes, Dongwon Shin
Read original paper ↗ ·