Papers citing Innovative Materials Science via Machine Learning
Applications of machine learning in supercritical fluids research
The Journal of Supercritical Fluids · 2023-07-25
Lucien Roach, Gian‐Marco Rignanese, Arnaud Erriguible, Cyril Aymonier
Read original paper ↗ ·A creep life prediction model of P91 steel coupled with back-propagation artificial neural network (BP-ANN) and θ projection method
International Journal of Pressure Vessels and Piping · 2023-07-27
Lin Wang, Xinbao Liu, Ping Fan, Lin Zhu, Kai Zhang, Kai Wang, Chaolu Song, Siyu Ren
Read original paper ↗ ·An Intelligent Manufacturing Platform of Polymers: Polymeric Material Genome Engineering
Engineering · 2023-08-01
Liang Gao, Liquan Wang, Jiaping Lin, Lei Du
Read original paper ↗ ·Digital transformation strategies for applied science domains
Research Ideas and Outcomes · 2023-08-09
Samuel Bentum, David J. Wild
Read original paper ↗ ·Effect of Flattened Structures of Molecules and Materials on Machine Learning Model Training
Journal of Chemical Information and Modeling · 2023-08-25
Luis Cesar de Azevedo, Ronaldo Cristiano Prati
Read original paper ↗ ·Atomic Positional Embedding-Based Transformer Model for Predicting the Density of States of Crystalline Materials
The Journal of Physical Chemistry Letters · 2023-08-30
Yaning Cui, Kang Chen, Lingyao Zhang, Haotian Wang, Lei Bai, David Elliston, Wei Li Ren
Read original paper ↗ ·A review on computational intelligence methods for modeling of light weight composite materials
Applied Soft Computing · 2023-09-04
Nesrine Amor, Muhammad Tayyab Noman, Michal Petrů, Neethu Sebastian, Deepak Balram
Read original paper ↗ ·X-ray Diffraction Data Analysis by Machine Learning Methods—A Review
Applied Sciences · 2023-09-04
Vasile-Adrian Surdu, Romuald Győrgy
Read original paper ↗ ·Artificial intelligence and machine learning in the design and additive manufacturing of responsive composites
MRS Communications · 2023-09-13
Wonbong Choi, Rigoberto C. Advíncula, H. Felix Wu, Yijie Jiang
Read original paper ↗ ·Multi-scale optimization of selectively magnetized isotropic carbon fiber fabrics for microwave absorption using machine learning
Composites Science and Technology · 2023-09-13
Yuhao Liu, Xiaoxiao Huang, Jiahao Sun, Guansheng Ma, Yuefeng Yan, Boshi Gao, Xu Yan, Yanan Liu
Read original paper ↗ ·Machine‐Learning Accelerating the Development of Perovskite Photovoltaics
Solar RRL · 2023-09-26
Tiantian Liu, Sen Wang, Yinguang Shi, Lei Wu, Ruiyu Zhu, Yong Wang, Jun Zhou, Wallace C. H. Choy
Read original paper ↗ ·Implementation of Multirepresentation Based Physics Modules to Improve Students Critical Thinking Skills
Journal of Education Society and Behavioural Science · 2023-09-29
I Ketut Mahardika, Iwan Wicaksono
Read original paper ↗ ·Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction
Nano-Micro Letters · 2023-10-13
Jin Li, Naiteng Wu, Jian Zhang, Hong‐Hui Wu, Kunming Pan, Yingxue Wang, Guilong Liu, Xianming Liu, Zhenpeng Yao, Qiaobao Zhang
Read original paper ↗ ·Characterization and optimization of mechanical properties in design materials using convolutional neural networks and particle swarm optimization
Asian Journal of Civil Engineering · 2023-10-31
Mohamad Wijayanuddin Ali, Mohammad Hussein
Read original paper ↗ ·Data-Driven Predetermination of Cu Oxidation State in Copper Nanoparticles: Application to the Synthesis by Laser Ablation in Liquid
Journal of the American Chemical Society · 2023-10-31
Runpeng Miao, Michael Bissoli, Andrea Basagni, Ester Marotta, Stefano Corni, Vincenzo Amendola
Read original paper ↗ ·Quantifying the impact of uninformative features on the performance of supervised classification and dimensionality reduction algorithms
APL Machine Learning · 2023-12-01
Weihua Lei, Cleber Zanchettin, Zoey E. Ho, Luı́s A. Nunes Amaral
Read original paper ↗ ·Intelligent design and synthesis of energy catalytic materials
Fundamental Research · 2023-12-10
Linkai Han, Zhonghua Xiang
Read original paper ↗ ·Layered nanomaterials for renewable energy generation and storage
Materials Advances · 2023-12-11
Anna A. Nikitina, Filipp V. Lavrentev, Veronika Yu. Yurova, Daniil Yu. Piarnits, Olga Volkova, Екатерина Владимировна Скорб, Dmitry G. Shchukin
Read original paper ↗ ·When magnetron sputtering deposition meets machine learning: Application to process anomaly detection
Surface and Coatings Technology · 2023-12-12
Valentin Delchevalerie, Nicolas De Moor, Louis Rassinfosse, Émile Haye, Benoît Frénay, Stéphane Lucas
Read original paper ↗ ·Machine Learning Clustering Analysis Towards Educator’s Readiness to Adopt Augmented Reality as a Teaching Tool
MENDEL · 2023-12-19
Anbuselvan Sangodiah, Chooi Yi Wei, Ayu Norafida binti Ayob, Norazira A. Jalil, Charles Ramendran, Gong Lirong
Read original paper ↗ ·Advances of LiCoO2 in Cathode of Aqueous Lithium‐Ion Batteries
Small Methods · 2023-12-27
Hailing Ma, Fei Wang, Minghai Shen, Yao Tong, Hongxu Wang, Hanlin Hu
Read original paper ↗ ·Enhancing chemistry-intuitive feature learning to improve prediction performance of optical properties
Chemical Science · 2024-01-01
Ming Sun, Caixia Fu, Haoming Su, Ruyue Xiao, Chaojie Shi, Zhiyun Lu, Xuemei Pu
Read original paper ↗ ·Micro-kinetic modelling of the CO reduction reaction on single atom catalysts accelerated by machine learning
Physical Chemistry Chemical Physics · 2024-01-01
Qing-Meng Zhang, Zhaoyu Wang, Hao Zhang, Xiaohong Liu, Wei Zhang, Liu‐Bin Zhao
Read original paper ↗ ·Predicting the Tensile Strength of Steel Based on Different Deep Learning Models
Springer proceedings in physics · 2024-01-01
Feng Ge, Jiaao Yu
Read original paper ↗ ·What Counts as Knowledge in AI-Driven Materials Science? A Philosophical and Practical Reframing
Journal of Artificial Intelligence for Materials Science · 2024-01-01
Maria Hernandez, Carlos Vega
Read original paper ↗ ·Acceleration of optimizing the dielectric properties of (Ca 0.7 Nd 0.2 ) 1− x (Li 0.5 Nd 0.5 ) x Ti 1− y (Mg 1/3 Nb 2/3 ) y O 3 with the aid of machine learning
Journal of the American Ceramic Society · 2024-01-11
Ziqi Ni, Fenglin Wang, Yeqing Guan, Kaijia Hu, Fengyuan Zhao, Xingyu Chen, Yicong Ye, Weijun Zhang, Shuxin Bai
Read original paper ↗ ·Fracture Prediction of Hydrogel Using Machine Learning and Inhomogeneous Multiscale Network
Advanced Theory and Simulations · 2024-01-16
Shoujing Zheng, Hao You, K.Y. Lam, Hua Li
Read original paper ↗ ·Unraveling medium‐range order and melting mechanism of ZIF‐4 under high temperature
Journal of the American Ceramic Society · 2024-01-31
Zuhao Shi, Bin Liu, Yuanzheng Yue, Arramel Arramel, Neng Li
Read original paper ↗ ·Machine Learning-Guided Prediction of Cocrystals Using Point Cloud-Based Molecular Representation
Chemistry of Materials · 2024-02-02
Soroush Ahmadi, Mohammad Amin Ghanavati, Sohrab Rohani
Read original paper ↗ ·Controlled Synthesis of Space–Time Modulated Metamaterial for Enhanced Nonreciprocity by Machine Learning
Advanced Intelligent Systems · 2024-02-06
Ngoc Hung Phi, Huu Nguyen Bui, Seong‐Yeon Moon, Jong‐Wook Lee
Read original paper ↗ ·Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets
Chemical Engineering Journal · 2024-02-10
Mohammed Shariq, Sathish Marimuthu, Amit Rai Dixit, Somnath Chattopadhyaya, Saravanan Pandiaraj, Muthumareeswaran Muthuramamoorthy, Abdullah N. Alodhyab, Mohammad Khaja Nazeeruddin, Andrews Nirmala Grace
Read original paper ↗ ·Automated Generation and Analysis of Molecular Images Using Generative Artificial Intelligence Models
The Journal of Physical Chemistry Letters · 2024-02-12
Zhiwen Zhu, Jiayi Lu, Shaoxuan Yuan, Yu He, Fengru Zheng, Hao Jiang, Yuyi Yan, Qiang Sun
Read original paper ↗ ·Deep learning-based prediction of saturation magnetic flux density in Fe-based metallic glasses via transfer learning
Materials Chemistry and Physics · 2024-02-15
Chunghee Nam
Read original paper ↗ ·Surface energy prediction and Winterbottom morphology evolution analysis in Winterbottom construction on various crystal orientations using machine learning
Materials Science and Engineering B · 2024-02-15
Fuming Lai, Zhiling Zhou, Min Zhao, Yanqiang Hu, Jian Yang, Shengfu Tong
Read original paper ↗ ·Improved deep neural network for predicting structural response of stiffened cylindrical shells to far-field underwater explosion
Ocean Engineering · 2024-02-26
Haitao Wang, Bin Liu, Jiajing Lei, Nan Zhao
Read original paper ↗ ·Machine learning assisted optimization of soft magnetic properties in ternary Fe–Si–Al alloys
Journal of Materials Research and Technology · 2024-03-01
V. A. Milyutin, Radovan Búreš, Mária Fáberová, Zuzana Birčáková, Zuzana Molčanová, Branislav Kunca, Л. А. Сташкова, Peter Kollár, Jan Füzer
Read original paper ↗ ·Strategy of Coupling Artificial Intelligence with Thermodynamic Mechanism for Predicting Complex Polymer Viscosities
ACS Sustainable Chemistry & Engineering · 2024-03-06
Siqi Wang, Gabriele Sadowski, Yuanhui Ji
Read original paper ↗ ·Machine learning accelerates the screening of single-atom catalysts towards CO2 electroreduction
Applied Catalysis A General · 2024-03-13
Yaxin Shi, Zhiqin Liang
Read original paper ↗ ·Machine Learning Aided Design and Optimization of Thermal Metamaterials
Chemical Reviews · 2024-03-28
Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, Guimei Zhu, Baowen Li
Read original paper ↗ ·Polymer-Unit Graph: Advancing Interpretability in Graph Neural Network Machine Learning for Organic Polymer Semiconductor Materials
Journal of Chemical Theory and Computation · 2024-03-29
Xinyue Zhang, Ye Sheng, Xiumin Liu, Jiong Yang, William A. Goddard, Caichao Ye, Wenqing Zhang
Read original paper ↗ ·Experimentally validated inverse design of multi-property Fe-Co-Ni alloys
iScience · 2024-04-10
Shakti P. Padhy, Varun Chaudhary, Yee-Fun Lim, Ruiming Zhu, Muang Thway, Kedar Hippalgaonkar, Raju V. Ramanujan
Read original paper ↗ ·Machine Learning to Promote Efficient Screening of Low‐Contact Electrode for 2D Semiconductor Transistor Under Limited Data
Advanced Materials · 2024-04-12
Penghui Li, Linpeng Dong, Chong Li, Yan Li, Jie Zhao, Bo Peng, Wei Wang, Shun Zhou, Weiguo Liu
Read original paper ↗ ·Data‐Driven Design of NASICON‐Type Electrodes Using Graph‐Based Neural Networks
Batteries & Supercaps · 2024-04-17
Yoonsu Shim, Incheol Jeong, Junpyo Hur, Hyoungjeen Jeen, Seung‐Taek Myung, Kang Taek Lee, Seungbum Hong, Jong Min Yuk, Chan‐Woo Lee
Read original paper ↗ ·Thermodynamic Stability Prediction of Triple Transition‐Metal (Ti−Mo−V)3C2${\rm (Ti-Mo-V)}_3{\rm C}_2$ MXenes via Cluster Correlation‐Based Machine Learning
Advanced Theory and Simulations · 2024-04-25
Chayanon Atthapak, Annop Ektarawong, Teerachote Pakornchote, Björn Alling, Thiti Bovornratanaraks
Read original paper ↗ ·Machine learning assisted mechanical properties prediction of fine denier polyester fiber
Journal of the Textile Institute · 2024-04-26
Ruimin Xie, Xiwen He, Yuxiang Liu, Yumei Zhang, Xiaohui Wang, Jinlong Xu, Huaping Wang
Read original paper ↗ ·Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective
Archives of Computational Methods in Engineering · 2024-05-04
Chi Wu, Yanan Xu, Jianguang Fang, Qing Li
Read original paper ↗ ·Machine-Learning driven STM images prediction of doped/defective graphene: Towards optimized tools for 2D nanomaterials characterization
Computational Materials Science · 2024-05-08
Rubén Guerrero‐Rivera, Francisco J. Godínez-Garcia, Takuya Hayashi, Zhipeng Wang, Josué Ortiz‐Medina
Read original paper ↗ ·Machine learning investigation of polylactic acid bead foam extrusion
Journal of Applied Polymer Science · 2024-05-13
Karim Ali Shah, Christian Brütting, Rodrigo Queiroz Albuquerque, Holger Ruckdäschel
Read original paper ↗ ·Machine Learning Tools to Assist the Synthesis of Antibacterial Carbon Dots
International Journal of Nanomedicine · 2024-06-01
Zirui Bian, Tianzhe Bao, Xuequan Sun, Ning Wang, Qian Mu, Ting Jiang, Zhongxiang Yu, Junhang Ding, Ting Wang, Qihui Zhou
Read original paper ↗ ·Machine learning-based screening of two-dimensional perovskite organic spacers
Advanced Composites and Hybrid Materials · 2024-06-01
Yongxiang Mai, Jianyao Tang, Haogang Meng, Xiaohui Li, Meiyue Liu, Chen Zeng, Putao Zhang, Shengjun Li
Read original paper ↗ ·