Papers citing Can artificial intelligence create the next wonder material?
Machine learning in materials genome initiative: A review
Journal of Material Science and Technology · 2020-05-03
Yingli Liu, Chen Xu Niu, Zhuo Wang, Yong Gan, Yan Hong Zhu, Shuhong Sun, Tao Shen
Read original paper ↗ ·DID Code: A Bridge Connecting the Materials Genome Engineering Database with Inheritable Integrated Intelligent Manufacturing
Engineering · 2020-05-07
William Yi Wang, Peixuan Li, De-Ye Lin, Bin Tang, Jun Wang, Quanmei Guan, Qian Ye, Haixing Dai, Jun Gao, Xiaoli Fan, Hongchao Kou, Haifeng Song, Feng Zhou, Jijun Ma, Zi‐Kui Liu, Jinshan Li, Weimin Liu
Read original paper ↗ ·Modeling and dynamics of Wolbachia-infected male releases and mating competition on mosquito control
Journal of Mathematical Biology · 2020-05-26
Xianghong Zhang, Qiyong Liu, Huaiping Zhu
Read original paper ↗ ·Accelerated design of L12-strengthened Co-base superalloys based on machine learning of experimental data
Materials & Design · 2020-07-26
Jinxin Yu, Chenglei Wang, Chenglei Wang, Yuechao Chen, Cuiping Wang, Cuiping Wang, Xingjun Liu
Read original paper ↗ ·Small data materials design with machine learning: When the average model knows best
Journal of Applied Physics · 2020-08-03
Danny E. P. Vanpoucke, Onno S. J. van Knippenberg, Ko Hermans, Katrien V. Bernaerts, Siamak Mehrkanoon
Read original paper ↗ ·Integrating data mining and machine learning to discover high-strength ductile titanium alloys
Acta Materialia · 2020-10-27
Chengxiong Zou, Jinshan Li, William Yi Wang, Ying Zhang, De-Ye Lin, Ruihao Yuan, Xiaodan Wang, Bin Tang, Jun Wang, Xingyu Gao, Hongchao Kou, Xidong Hui, Xiaoqin Zeng, Ma Qian, Haifeng Song, Zi‐Kui Liu, Dongsheng Xu
Read original paper ↗ ·The Effects of Hydrogen Distribution on the Elastic Properties and Hydrogen-Induced Hardening and Softening of α-Fe
Applied Sciences · 2020-12-15
Zheng Wang, Xiaoming Shi, Xusheng Yang, Zhuhong Liu, San‐Qiang Shi, Xingqiao Ma
Read original paper ↗ ·Synthesis of Optimal Technological Parameters of “Iron-Cast-Glass” Grinding Composite Materials Using Fuzzy Logic and Big Data Concepts
Advances in intelligent systems and computing · 2021-01-01
T. G. Jabbarov, Nurlan Gurbanov
Read original paper ↗ ·Viscosity of Ionic Liquids
Encyclopedia of Ionic Liquids · 2021-01-01
Siqi Jiang, Yufeng Hu, Zhichang Liu, Chunxiao Ren
Read original paper ↗ ·Reducing Crop Length of Rolling Material Using Predictive Model Analysis
Journal of Materials Engineering and Performance · 2021-01-05
Hyungjin Kim, Dong‐Hwan Kim
Read original paper ↗ ·Digital Transformation in Materials Science: A Paradigm Change in Material's Development
Advanced Materials · 2021-01-06
Julian Kimmig, Stefan Zechel, Ulrich S. Schubert
Read original paper ↗ ·Text mining of hypereutectic Al-Si alloys literature based on active learning
Materials Today Communications · 2021-01-14
Yingli Liu, Changhui Yao, Chen Xu Niu, Wuliang Li, Jiancheng Yin, Tao Shen
Read original paper ↗ ·Machine learning for advanced energy materials
Energy and AI · 2021-01-24
Liu Yun, Oladapo Christopher Esan, Zhefei Pan, Liang An
Read original paper ↗ ·Improving phase prediction accuracy for high entropy alloys with Machine learning
Computational Materials Science · 2021-03-07
Sandesh Risal, Weihang Zhu, Pablo Guillén, Li Sun
Read original paper ↗ ·Artificial neural network modified constitutive descriptions for hot deformation and kinetic models for dynamic recrystallization of novel AZE311 and AZX311 alloys
Materials Science and Engineering A · 2021-04-18
Tong Wang, Yongzheng Chen, Bin Ouyang, Xiong Zhou, Jun Ping Hu, Qichi Le
Read original paper ↗ ·Utilization of machine learning to accelerate colloidal synthesis and discovery
The Journal of Chemical Physics · 2021-06-08
Anthony Y. Fong, Lenson A. Pellouchoud, Malcolm Davidson, Richard C. Walroth, Carena Church, Ekaterina Tcareva, Liheng Wu, Kyle Peterson, Bryce Meredig, Christopher J. Tassone
Read original paper ↗ ·Value of medical imaging artificial intelligence in the diagnosis and treatment of new coronavirus pneumonia
Expert Systems · 2021-06-10
Shouqin Jia, Ying Wang, Wuzhang Wang, Qiang Zhang, Xu Zhang
Read original paper ↗ ·Transition-metal-based chalcogenides: A rich source of infrared nonlinear optical materials
Coordination Chemistry Reviews · 2021-08-26
Hong Chen, Wenbo Wei, Hua Lin, Xintao Wu
Read original paper ↗ ·Inverse Design of Ferroelectric‐Order in Perovskite Crystal for Self‐Powered Ultraviolet Photodetection
Advanced Materials · 2021-12-21
Yabo Wu, Xuping Wang, Gang Tian, Limei Zheng, Fei Liang, Shujun J. Zhang, Haohai Yu, Huaijin Zhang
Read original paper ↗ ·Advancement of machine learning in materials science
Materials Today Proceedings · 2022-01-01
P. Rajendra, A. Girisha, T. Gunavardhana Naidu
Read original paper ↗ ·Bridging the Gap Between Nanotoxicological Data and the Critical Structure–Activity Relationships
Springer eBooks · 2022-01-01
Xiliang Yan, Tongtao Yue, Hao Zhu, Bing Yan
Read original paper ↗ ·Machine learning-accelerated first-principles predictions of the stability and mechanical properties of L12-strengthened cobalt-based superalloys
Journal of Materials Informatics · 2022-01-01
Shengkun Xi, Jinxin Yu, Longke Bao, Liuping Chen, Zhou Li, Rongpei Shi, Cuiping Wang, Xingjun Liu
Read original paper ↗ ·Supplementary Data of ‘Discovering Novel Low Young's Modulus Nb–Ti–Zr Biomedical Alloys Via Combined Machine Learning and First Principles Approach’
SSRN Electronic Journal · 2022-01-01
Zhihao Huang, Yudong Fu, Guotan Liu, Han Chen, Kang Wang, Yibo Sun
Read original paper ↗ ·Viscosity of Ionic Liquids
Encyclopedia of Ionic Liquids · 2022-01-01
Siqi Jiang, Yufeng Hu, Zhichang Liu, Chunxiao Ren
Read original paper ↗ ·Fuel sorption into polymers: Experimental and machine learning studies
Fluid Phase Equilibria · 2022-01-19
Benoît Creton, Benjamin Veyrat, Marie‐Hélène Klopffer
Read original paper ↗ ·Machine-learning enabled thermodynamic model for the design of new rare-earth compounds
Acta Materialia · 2022-02-22
Prashant Kumar Singh, Tyler J. Del Rose, Guillermo Vazquez, Raymundo Arróyave, Yaroslav Mudryk
Read original paper ↗ ·Deep learning modeling strategy for material science: from natural materials to metamaterials
Journal of Physics Materials · 2022-02-28
Wenwen Li, Pu Chen, Bo Xiong, Guandong Liu, Shuliang Dou, Yaohui Zhan, Zhiyuan Zhu, Tao Chu, Yao Li, Wei Ma
Read original paper ↗ ·An Oral English Evaluation Model Using Artificial Intelligence Method
Mobile Information Systems · 2022-03-07
Yawei Yu, Lu Han, Xueqin Du, Jing Yu
Read original paper ↗ ·Porous and permutable peptide frameworks
Nature Chemistry · 2022-07-28
Jinqiao Dong, Dan Zhao
Read original paper ↗ ·A First-Principles Study of F and Cl Doping in LiNi0.83Co0.08Mn0.08O2 Cathode Materials
Crystals · 2022-09-14
Can Yao, Changdong Zhou, Benjun Cheng, Mao Li
Read original paper ↗ ·Digital Twin Assistant Active Design and Optimization of Steel Mega-Sub Controlled Structural System under Severe Earthquake Waves
Materials · 2022-09-14
Zheng Wei, Xun’an Zhang, Feng Sun, William Yi Wang
Read original paper ↗ ·Emerging Deep-Sea Smart Composites: Advent, Performance, and Future Trends
Materials · 2022-09-17
Haiyi Zhou, Pengcheng Jiao, Ying‐Tien Lin
Read original paper ↗ ·Progress in nanomaterials fabrication and their prospects in artificial intelligence towards solid oxide fuel cells: A review
International Journal of Hydrogen Energy · 2022-12-21
Shammya Afroze, Md Sumon Reza, M.R. Amin, Juntakan Taweekun, Абул Калам Азад
Read original paper ↗ ·Advances in artificial intelligence applications in corroded reinforced concrete structures
Elsevier eBooks · 2023-01-01
Guofu Qiao, Hanxi Jia, Jinping Ou
Read original paper ↗ ·Improving predictive modeling of polymeric materials using a hybrid approach of machine learning and expert intervention
Unknown journal · 2023-01-01
Fiorella Cravero, Ignacio Ponzoni, Mónica F. Díaz
Read original paper ↗ ·Discovery of novel low modulus Nb–Ti–Zr biomedical alloys via combined machine learning and first principles approach
Materials Chemistry and Physics · 2023-02-25
Zhihao Huang, Hanxige Chen, Hanxige Chen, Songbo Ye, Guotan Liu, Han Chen, Han Chen, Yudong Fu, Yibo Sun, Mufu Yan
Read original paper ↗ ·Constructing Microstructural Evolution System for Cement Hydration From Observed Data Using Deep Learning
IEEE Transactions on Systems Man and Cybernetics Systems · 2023-03-20
Jifeng Guo, C. L. Philip Chen, Lin Wang, Bo Yang, Tong Zhang, Liangliang Zhang
Read original paper ↗ ·Advances in machine learning- and artificial intelligence-assisted material design of steels
International Journal of Minerals Metallurgy and Materials · 2023-04-18
Guangfei Pan, Feiyang Wang, Chunlei Shang, Hong‐Hui Wu, Guilin Wu, Junheng Gao, Shuize Wang, Zhijun Gao, Xiaoye Zhou, Xinping Mao
Read original paper ↗ ·Artificial neural network–modified heat transfer model for furnace coil rolling of magnesium alloy plate
The International Journal of Advanced Manufacturing Technology · 2023-05-01
Shuping Kong, Fangkun Ning, Lifeng Ma, Weitao Jia, Qichi Le
Read original paper ↗ ·Full Metal Species Quantification of Supported Catalysts: Beyond Metal Dispersion
ChemPlusChem · 2023-05-04
Shuhui Liu, Ronghe Lin, Wei Liu, Yunjie Ding
Read original paper ↗ ·Intelligent Biomaterialomics: Molecular Design, Manufacturing, and Biomedical Applications
Advanced Materials · 2023-07-25
Yu Yi, Hong‐Wei An, Hao Wang
Read original paper ↗ ·Predictive Synthesis of Copper Selenides Using a Multidimensional Phase Map Constructed with a Data-Driven Classifier
Journal of the American Chemical Society · 2023-08-04
Emily M. Williamson, Zhaohong Sun, Bryce A. Tappan, Richard L. Brutchey
Read original paper ↗ ·AI-enabled materials discovery for advanced ceramic electrochemical cells
Energy and AI · 2023-11-09
Idris Temitope Bello, Ridwan Taiwo, Oladapo Christopher Esan, Adesola Habeeb Adegoke, Ahmed Olanrewaju Ijaola, Zheng Li, Siyuan Zhao, Chen Wang, Zongping Shao, Meng Ni
Read original paper ↗ ·Predicting atomic structure and mechanical properties in quinary L12-Strengthened cobalt-based superalloys using machine learning-driven first-principles calculations
Materials Today Communications · 2023-12-05
Shengkun Xi, Jinxin Yu, Longke Bao, Jiahui Li, Qiuling Tao, Zhou Li, Rongpei Shi, Cuiping Wang, Xingjun Liu
Read original paper ↗ ·The Use of Fuzzy IF-THEN Rules for Modeling Relationship Between Steel Alloy Composition and Its Characteristics
Lecture notes in networks and systems · 2024-01-01
T. G. Jabbarov
Read original paper ↗ ·Machine learning assisted prediction in the discharge capacities of novel MXene cathodes for aluminum ion batteries
Journal of Energy Storage · 2024-01-17
Jiahui Li, Shengkun Xi, Tongxing Lei, Ruijun Yao, Fanshuai Zeng, Junwei Wu, Shaobo Tu, Xingjun Liu
Read original paper ↗ ·Accelerating Elastic Property Prediction in Fe-C Alloys through Coupling of Molecular Dynamics and Machine Learning
Materials · 2024-01-26
Sandesh Risal, Navdeep Singh, Yan Li Yao, Li Sun, Samprash Risal, Weihang Zhu
Read original paper ↗ ·A machine-learning-based composition design of ternary Cu-based Rochow-Müller catalyst with high M2 selectivity
Applied Catalysis A General · 2024-02-07
Tianrun Ma, Jianwei Wang, Liqing Ban, Huijun He, Ziliang Lu, Jie Zhu, Xiaoling Ma
Read original paper ↗ ·Materials descriptors of machine learning to boost development of lithium-ion batteries
Nano Convergence · 2024-02-26
Zehua Wang, Li Wang, Hao Zhang, Hong Xu, Xiangming He
Read original paper ↗ ·Data-driven visualization of the dynamics of machine learning in materials research
Journal of Cleaner Production · 2024-03-06
Zhiwei Ye, Jialing Li, Wenjun Wang, Fanzhi Qin, Keteng Li, Hao Tan, Chen Zhang
Read original paper ↗ ·