Papers citing Machine learning in materials design: Algorithm and application*
Efficient sampling for decision making in materials discovery*
Chinese Physics B · 2021
Yuan Tian, Turab Lookman, Dezhen Xue
Read original paper ↗ ·Machine Learning in Magnetic Materials
physica status solidi (b) · 2021
Georgios Katsikas, C. Sarafidis, Joseph Kioseoglou
Read original paper ↗ ·Machine Learning of Quasiparticle Energies in Molecules and Clusters
Journal of Chemical Theory and Computation · 2021
Onur Çaylak, Björn Baumeier
Read original paper ↗ ·Novel Materials for Urban Farming
Advanced Materials · 2021
Lifei Xi, Mengyuan Zhang, L. Zhang, Tedrick Thomas Salim Lew, Yeng Ming Lam
Read original paper ↗ ·A universal neural network for learning phases
The European Physical Journal Plus · 2021
D.-R. Tan, J.-H. Peng, Y.-H. Tseng, Fu-Jiun Jiang
Read original paper ↗ ·Going Beyond the d‐Band Center to Describe CO2 Activation on Single‐Atom Alloys
Advanced Energy and Sustainability Research · 2021
Zhongti Sun, Zhilong Song, Wan‐Jian Yin
Read original paper ↗ ·Accelerated prediction of Cu-based single-atom alloy catalysts for CO2 reduction by machine learning
Green Energy & Environment · 2021
Dashuai Wang, Runfeng Cao, Shaogang Hao, Chen Liang, Guangyong Chen, Pengfei Chen, Yang Li, Xiaolong Zou
Read original paper ↗ ·Mechanistic Data Science for Modeling and Design of Aerospace Composite Materials
arXiv (Cornell University) · 2021
Satyajit Mojumder, Lei Tao, Ying Li, Wing Kam Liu
Read original paper ↗ ·Accurate Prediction of the Boiling Point of Organic Molecules by Multi-Component Heterogeneous Learning Model
化学学报 · 2022
Yuze Liu, Kunhua Li, Jiaxing Huang, Xi Yu, Wenping Hu
Read original paper ↗ ·Modelling of functional properties of shape-memory alloys by machine learning methods
Scientific journal of the Ternopil national technical university · 2022
Oleh Yasniy, Vladyslav Demchyk, Nadiia Lutsyk
Read original paper ↗ ·A machine learning model for screening thermodynamic stable lead-free halide double perovskites
Computational Materials Science · 2022
Gui-Qin Liang, Jian Zhang
Read original paper ↗ ·Perspective: Predicting and optimizing thermal transport properties with machine learning methods
Energy and AI · 2022
Wei Han, Hua Bao, Xiulin Ruan
Read original paper ↗ ·Data-Driven Construction Method of Material Mechanical Behavior Model
Metals · 2022
Qu Meijiao, Mengqi Li, Zhichao Wen, Weifeng He
Read original paper ↗ ·A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys
Scientific Reports · 2022
Kyungtae Lee, Mukil V. Ayyasamy, Yangfeng Ji, Prasanna V. Balachandran
Read original paper ↗ ·Digital advancements in smart materials design and multifunctional coating manufacturing
Physics Open · 2022
Jaya Verma, A.S. Khanna
Read original paper ↗ ·Predicting the Textural Properties of Plant-Based Meat Analogs with Machine Learning
Foods · 2023
Sezin Kircali Ata, Jing Shi, Xuesi Yao, Xin Yi Hua, Sumanto Haldar, Jie Hong Chiang, Min Wu
Read original paper ↗ ·Latest Advances in Manufacturing and Machine Learning of Bulk Metallic Glasses
Advanced Engineering Materials · 2023
Olivia A. Graeve, Mireya S. García-Vázquez, Alejandro Álvaro Ramírez‐Acosta, Zachary Cadieux
Read original paper ↗ ·Advances in machine learning-aided design of reinforced polymer composite and hybrid material systems
Hybrid Advances · 2023
Christian Emeka Okafor, Sunday Iweriolor, Okwuchukwu Innocent Ani, Shahnawaz Ahmad, Shabana Mehfuz, Godspower Onyekachukwu Ekwueme, Okechukwu Emmanuel Chukwumuanya, Sylvester Emeka Abonyi, Ignatius Echezona Ekengwu, Peter Okechukwu Chikelu
Read original paper ↗ ·Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects
Advanced Functional Materials · 2023
Yiming Liu, Xinyu Tan, Jie Liang, Hongwei Han, Peng Xiang, Wensheng Yan
Read original paper ↗ ·Predicting thermodynamic stability of magnesium alloys in machine learning
Computational Materials Science · 2023
Xi He, Jinde Liu, Yang Chen, Gang Jiang
Read original paper ↗ ·Adaptive Design of Alloys for CO 2 Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search Algorithm
The Journal of Physical Chemistry Letters · 2023
Zhilong Song, Qionghua Zhou, Shuaihua Lu, Sae Dieb, Chongyi Ling, Jinlan Wang
Read original paper ↗ ·Advances in machine learning- and artificial intelligence-assisted material design of steels
International Journal of Minerals Metallurgy and Materials · 2023
Guangfei Pan, Feiyang Wang, Chunlei Shang, Hong‐Hui Wu, Guilin Wu, Junheng Gao, Shuize Wang, Zhijun Gao, Xiaoye Zhou, Xinping Mao
Read original paper ↗ ·Machine Learning Accelerated Study of Defect Energy Levels in Perovskites
The Journal of Physical Chemistry C · 2023
Xiaoyu Wu, Haiyuan Chen, Jianwei Wang, Xiaobin Niu
Read original paper ↗ ·Machine learning predictions of high-Curie-temperature materials
Applied Physics Letters · 2023
Joshua F. Belot, Valentin Taufour, Stefano Sanvito, Gus L. W. Hart
Read original paper ↗ ·Graph neural networks with molecular segmentation for property prediction and structure–property relationship discovery
Computers & Chemical Engineering · 2023
Zhudan Chen, Dazi Li, Minghui Liu, Jun Liu
Read original paper ↗ ·Properties prediction of composites based on machine learning models: A focus on statistical index approaches
Materials Today Communications · 2023
Barshan Dev, Md Ashikur Rahman, Md. Jahidul Islam, Md Zillur Rahman, Deju Zhu
Read original paper ↗ ·Machine Learning Aided Design and Optimization of Thermal Metamaterials
Chemical Reviews · 2024
Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, Guimei Zhu, Baowen Li
Read original paper ↗ ·Influence of feature-to-feature interactions on chloride migration in type-I cement concrete: A robust modeling approach using extra random forest
Materials Today Communications · 2024
Yassir M. Abbas, Abdulaziz S. Alsaif
Read original paper ↗ ·Machine learning-based crack prediction modeling of laser cladding coatings
Journal of Physics Conference Series · 2024
Jiahuan Cui, Yanhui Zhang, Weiyan Lv
Read original paper ↗ ·A review on machine learning-guided design of energy materials
Progress in Energy · 2024
Seongmin Kim, Jiaxin Xu, Wenjie Shang, Zhihao Xu, Eungkyu Lee, Tengfei Luo
Read original paper ↗ ·Machine-learning synergy in high-entropy alloys: A review
Journal of Materials Research and Technology · 2024
Sally Elkatatny, Walaa Abd‐Elaziem, Tamer Ali Sebaey, Moustafa A. Darwish, Atef Saad Hamada
Read original paper ↗ ·Deep Learning and Machine Learning for Materials Design
IEEE International Symposium on Logistics and Industrial Informatics (LINDI) · 2024
Mohammed Mudabbiruddin, Judit Takacs, Amir Hosein Mosavi, Felde Imre, Narjes Nabipour
Read original paper ↗ ·Machine learning in advancing anode materials for Lithium-Ion batteries – A review
Inorganic Chemistry Communications · 2024
Mohammad Aminul Islam, Zahid Ahsan, Mustafizur Rahman, Md. Ibrahim Abdullah, Masud Rana, Nayem Hossain, Mohammad Assaduzzaman Chowdhury
Read original paper ↗ ·Machine learning-based constitutive modelling for material non-linearity: A review
Mechanics of Advanced Materials and Structures · 2024
Arif Hussain, Amir Hosein Sakhaei, Mahmood Shafiee
Read original paper ↗ ·Efficient prediction of potential energy surface and physical properties with Kolmogorov-Arnold Networks
Journal of Materials Informatics · 2024
Rui Wang, Hongyu Yu, Yang Zhong, Hongjun Xiang
Read original paper ↗ ·Robust extreme gradient boosting model for predicting the behavior of RC slabs under impact loading: key influencing factors and performance insights
Revista IBRACON de Estruturas e Materiais · 2025
Ammar Babiker
Read original paper ↗ ·Bibliometric analysis of artificial intelligence in high-to-room temperature superconductors: insights from the Scopus database
Journal of Science and Technology Policy Management · 2025
Andika Widya Pramono, Arif Nurhakim
Read original paper ↗ ·High‐throughput calculation integrated with stacking ensemble machine learning for predicting elastic properties of refractory multi‐principal element alloys
Materials Genome Engineering Advances · 2025
Chengchen Jin, Kai Xiong, Congtao Luo, Hui Fang, Chaoguang Pu, Hua Dai, Aimin Zhang, Shunmeng Zhang, Yingwu Wang
Read original paper ↗ ·Utilizing big data and categorical boosting modeling methodology to interpret the load-deflection behavior of steel fiber-reinforced concrete beams
Engineering Applications of Artificial Intelligence · 2025
Ahmet Tüken, Yassir M. Abbas, Nadeem A. Siddiqui
Read original paper ↗ ·Recent advances in machine learning guided mechanical properties prediction and design of two-dimensional materials
Thin-Walled Structures · 2025
Runkai Liu, Runkai Liu, Shu Lin, Jing Wan, Le Li, Guoqiang Zhang, Huasong Qin, Yilun Liu
Read original paper ↗ ·Intelligent screening model for uranium alloy corrosion substitute alloys based on machine learning
Progress in Natural Science Materials International · 2025
Wanying Zhang, Wanying Zhang, Xiaoyuan Wang, Yibo Ai, Weidong Zhang, Weidong Zhang
Read original paper ↗ ·Enhancing design and behavioral understanding of steel fiber-reinforced concrete flat slabs through a robust machine learning framework
Journal of Building Engineering · 2025
Ammar Babiker, Yassir M. Abbas, M. Iqbal Khan, Radhouane Masmoudi
Read original paper ↗ ·Integrating Materials Representations Into Feature Engineering in Machine Learning for Crystalline Materials: From Local to Global Chemistry‐Structure Information Coupling
Wiley Interdisciplinary Reviews Computational Molecular Science · 2025
Bin Xiao, Yuchao Tang, Yi Liu
Read original paper ↗ ·Robust surrogate modeling for glass forming process
The International Journal of Advanced Manufacturing Technology · 2025
K. E. Chang, Aabhash Dhakal, Torsten Kraft
Read original paper ↗ ·Optimizing the durability of cement-based systems through data-driven modeling and sensitivity analysis of chloride migration coefficients
Journal of Engineering Research · 2025
Yassir M. Abbas, M. Iqbal Khan
Read original paper ↗ ·Differential Evolution-Enhanced Descriptor Selection for Low-Alloy Steel Performance Prediction
Journal of Materials Engineering and Performance · 2025
Siqian Liu, Guipeng Liu, Kehong Zhong, Juan Qi, Longwei Cheng, Dongmei Ai
Read original paper ↗ ·Machine Learning‐Driven Perovskite Research from Experimental Exploration to Industrial Development
Solar RRL · 2025
Zhuo Feng, Xu Zhu, Meng Hao, Antai Yang, Jixin Tang, Chengquan Zhong, Kailong Hu, Jiakai Liu, Jingzi Zhang, Xi Lin
Read original paper ↗ ·Engineering ZnS nanoarchitectures: Defects and dynamic surfaces for improved photocatalysis
Journal of Molecular Structure · 2025
Ashish Tiwari, Swati Bishnoi, Sanjay Janrao Dhoble
Read original paper ↗ ·Accelerating the discovery and optimization of metal-organic framework materials via machine learning
Advances in Colloid and Interface Science · 2025
Hong Wang, Liang Yang, Deying Leng, Yanhai Du, Hao Ning
Read original paper ↗ ·Machine learning-driven materials discovery: Unlocking next-generation functional materials – A review
Computational Condensed Matter · 2025
Dilshod Nematov, Mirabbos Hojamberdiev
Read original paper ↗ ·