Engineering & Materials

98 cases, highest importance first. Mean importance 4.9. Combined citations 8,161.

Industries materials science 9 additive manufacturing 9 structural health monitoring 6 materials discovery 3 energy materials 3 civil infrastructure 3 infrastructure inspection 3 rail transport 3 aerospace engineering 3 structural engineering 3 battery materials 2 grid forecasting 2

#	Paper	Year	Citations	Importance
1	Scaling deep learning for materials discovery Amil Merchant, Simon Batzner, Samuel S. Schoenholz, Muratahan Aykol, G...	2023	1,471	8
2	Machine Learning for Structural Health Monitoring of Aerospace Structures: A Review Gennaro Scarselli, Francesco Nicassio	2025	44	7
3	Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency Kwang S. Kim	2025	43	7
4	Multi‐Agent‐Network‐Based Idea Generator for Zinc‐Ion Battery Electrolyte Discovery: A Case Study on Zinc Tetrafluoroborate Hydrate‐Based Deep Eutectic Electrolytes Matthew James Robson, Shengjun Xu, Zilong Wang, Qing Chen, Francesco C...	2025	29	7
5	Interpretable Machine Learning for Battery Prognosis: Retrospect and Prospect T. Wang, Kun‐Yu Liu, Hong‐Jie Peng, Xinyan Liu	2025	20	7
6	Predicting dynamic stability from static features in power grid models using machine learning Maurizio Titz, Franz J. Kaiser, Johannes Kruse, Dirk Witthaut	2024	15	7
7	Application of Machine Learning in Material Synthesis and Property Prediction Guannan Huang, Yani Guo, Ye Chen, Zhengwei Nie	2023	165	7
8	Machine learning-guided discovery of ionic polymer electrolytes for lithium metal batteries Kai Li, Jifeng Wang, Yuanyuan Song, Ying Wang	2023	115	7
9	Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology Mihail D. Senyuk, Murodbek Safaraliev, Firuz Kamalov, Hana Sulieman	2023	42	7
10	Power-grid stability predictions using transferable machine learning Seong-Gyu Yang, Beom Jun Kim, Seung‐Woo Son, Heetae Kim	2021	22	7
11	A Comprehensive Review of Machine-Learning Approaches for Crystal Structure/Property Prediction Mostafa Sadeghian, Arvydas Palevičius, Giedrius Janušas	2025	12	6
12	Deep Learning for Concrete Crack Detection and Measurement Mthabisi Adriano Nyathi, Jiping Bai, Ian David Wilson	2024	55	6
13	Deep learning-based image segmentation for defect detection in additive manufacturing: an overview Sourabh Deshpande, Vysakh Venugopal, Manish Kumar, Sam Anand	2024	53	6
14	Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge Rouzbeh Doroudi, Seyed Hossein Hosseini Lavassani, Mohsen Shahrouzi	2024	42	6
15	A multi‐agent deep reinforcement learning approach for traffic signal coordination Ta‐Yin Hu, Zhuo‐Yu Li	2024	16	6
16	Interpretable machine learning for materials discovery: Predicting CO2 adsorption properties of metal–organic frameworks Yukun Teng, Guangcun Shan	2024	28	6
17	Machine Learning‐Driven Discovery of Thermoset Shape Memory Polymers With High Glass Transition Temperature Using Variational Autoencoders Amir Teimouri, Guoqiang Li	2024	10	6
18	An autonomous laboratory for the accelerated synthesis of inorganic materials Nathan J. Szymanski, Bernardus Rendy, Yuxing Fei, Rishi E. Kumar, Tanj...	2023	999	6
19	Smart and Automated Infrastructure Management: A Deep Learning Approach for Crack Detection in Bridge Images Hina Inam, Naeem Ul Islam, Muhammad Usman Akram, Fahim Ullah	2023	73	6
20	Unsupervised deep learning framework for ultrasonic-based distributed damage detection in concrete: integration of a deep auto-encoder and Isolation Forest for anomaly detection Vahab Toufigh, Iman Ranjbar	2023	24	6
21	Application of machine learning for advanced material prediction and design Cheuk Hei Chan, Mingzi Sun, Bolong Huang	2022	123	6
22	End-to-end deep learning framework for printed circuit board manufacturing defect classification Abhiroop Bhattacharya, Sylvain G. Cloutier	2022	133	6
23	Crystal twins: self-supervised learning for crystalline material property prediction Rishikesh Magar, Yuyang Wang, Amir Barati Farimani	2022	72	6
24	Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events Yongsheng Bai, Bing Zha, Halil Sezen, Alper Yilmaz	2022	42	6
25	Application of Physics-Informed Machine Learning Techniques for Power Grid Parameter Estimation Subhash Lakshminarayana, Saurav Sthapit, Carsten R. Maple	2022	28	6
26	Machine learning for perovskite materials design and discovery Qiuling Tao, Pengcheng Xu, Minjie Li, Wencong Lu	2021	536	6
27	Accelerated design and discovery of perovskites with high conductivity for energy applications through machine learning Pikee Priya, Narayana R. Aluru	2021	94	6
28	Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage Zilong Wang, Young‐Jin Cha	2020	336	6
29	A Bayesian machine learning approach for online detection of railway wheel defects using track-side monitoring Yi‐Qing Ni, Qiu-Hu Zhang	2020	64	6
30	Machine learning enabled discovery of application dependent design principles for two-dimensional materials Victor Venturi, Holden L Parks, Zeeshan Ahmad, Venkatasubramanian Visw...	2020	18	6
31	Damage detection in a novel deep-learning framework: a robust method for feature extraction Tian Guo, Lianping Wu, Cunjun Wang, Zili Xu	2019	110	6
32	Defect Detection and Monitoring in Metal Additive Manufactured Parts through Deep Learning of Spatially Resolved Acoustic Spectroscopy Signals Jacob M. Williams, Paul R. Dryburgh, Adam Thomas Clare, Prahalada Rao,...	2018	34	6
33	Manifold Learning for Aerodynamic Shape Design Optimization Boda Zheng, Abhijith Moni, Weigang Yao, Min Xu	2025	11	5
34	Machine learning autoencoder‐based parameters prediction for solar power generation systems in smart grid Ahsan Zafar, Yanbo Che, Muhammad Faheem, Muhammad Abubakar, Shujaat Al...	2024	38	5
35	A novel procedure for cable damage identification of cable-stayed bridge using particle swarm optimization and machine learning Van-Thanh Pham, Duc‐Kien Thai, Seung-Eock Kim	2024	18	5
36	Machine Learning Guided Discovery of Non‐Linear Optical Materials Sownyak Mondal, Raheel Hammad	2024	14	5
37	Phase Transformation Temperature Prediction in Steels via Machine Learning Yupeng Zhang, Lin Cheng, Aonan Pan, Chengyang Hu, Kaiming Wu	2024	13	5
38	Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing Timothy Herzog, Milan Brandt, Adrian Trinchi, Antonella Sola, Andrey M...	2023	239	5
39	Wheel Defect Detection Using a Hybrid Deep Learning Approach Khurram Shaikh, Imtiaz Hussain Kalwar, Bhawani Shankar Chowdhry	2023	26	5
40	Machine learning based charge mobility prediction for organic semiconductors Tianhao Tan, Dong Wang	2023	26	5
41	Study on Optimization Design of Airfoil Transonic Buffet with Reinforcement Learning Method Hao Chen, Chuanqiang Gao, Jifei Wu, Kai Ren, Weiwei Zhang	2023	12	5
42	Additive manufacturing: Application and validation of machine learning-based process-structure-property linkages in Ti-6Al-4V Xi Gong, Willem Groeneveld-Meijer, Guha P. Manogharan	2023	14	5
43	Machine learning of material properties: Predictive and interpretable multilinear models Alice E. A. Allen, Alexandre Tkatchenko	2022	114	5
44	Fusion of thermal and RGB images for automated deep learning based crack detection in civil infrastructure Quincy G. Alexander, Vedhus Hoskere, Yasutaka Narazaki, Andrew Maxwell...	2022	47	5
45	Identification of microstructures critically affecting material properties using machine learning framework based on metallurgists’ thinking process Satoshi F. Noguchi, Hui Wang, Junya Inoue	2022	15	5
46	Industrial Laser Welding Defect Detection and Image Defect Recognition Based on Deep Learning Model Developed Honggui Deng, Yu Cheng, Yuxin Feng, Junjiang Xiang	2021	75	5
47	Novel machine learning framework for thermal conductivity prediction by crystal graph convolution embedded ensemble Yajing Sun, Wenping Hu	2021	25	5
48	A Rail-Temperature-Prediction Model Based on Machine Learning: Warning of Train-Speed Restrictions Using Weather Forecasting Sunguk Hong, Cheoljeong Park, Seong Jin Cho	2021	42	5
49	Machine learning paradigm for structural health monitoring Yuequan Bao, Hui Li	2020	372	5
50	A deep learning-based model for defect detection in laser-powder bed fusion using in-situ thermographic monitoring Hermann Baumgartl, Josef Tomas, Ricardo Buettner, Markus Merkel	2020	268	5
51	Accelerating Atomic Catalyst Discovery by Theoretical Calculations‐Machine Learning Strategy Mingzi Sun, Alan William Dougherty, Bolong Huang, Yuliang Li, Chun‐Hua...	2020	165	5
52	Deep Learning-Based Feature Silencing for Accurate Concrete Crack Detection Umme Hafsa Billah, Hung Manh La, Alireza Tavakkoli	2020	27	5
53	A hybrid learning strategy for structural damage detection Lorena Andrade Nunes, Rafaelle Piazzaroli Finotti, Flávio de Souza Bar...	2020	29	5
54	Genetic algorithms for computational materials discovery accelerated by machine learning Paul C. Jennings, Steen Lysgaard, Jens S. Hummelshøj, Tejs Vegge, Thom...	2019	265	5
55	A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function Ramin Ghiasi, Peyman Torkzadeh, Mohammad Noori	2016	169	5
56	Dynamic microarchitectural adaptation using machine learning Christophe Dubach, Timothy M. Jones, Edwin V. Bonilla	2013	16	5
57	Machine Learning-Assisted Polymer and Polymer Composite Design for Additive Manufacturing Kingsley Yeboah Gyabaah, Bernard Mahoney, Anthony Kwasi Martey, Cheng...	2026	13	4
58	Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections Sherif Samy Sorour, Chahinaz Abdelrahman Saleh, Mostafa H. Shazly	2025	15	4
59	Intelligent structural design of composite concrete‐encased steel columns based on hybrid machine learning and multiobjective optimization Yuzhuo Zhang, Haoming Wang, Jinlong Liu, Faqi Liu, Xuetao Lv	2025	25	4
60	Machine Learning-Based Prediction of EDM Material Removal Rate and Surface Roughness Isam Qasem, Amjad Alsakarneh	2025	11	4
61	Accelerating process control and optimization via machine learning: a review Ilias Mitrai, Pródromos Daoutidis	2025	18	4
62	Solar Panel Surface Defect and Dust Detection: Deep Learning Approach Atta Rahman	2025	13	4
63	Interpretable Machine Learning for High-Accuracy Reservoir Temperature Prediction in Geothermal Energy Systems Mohammad Ali Ahmadi	2025	9	4
64	Advanced UAV Design Optimization Through Deep Learning-Based Surrogate Models Hasan Karali, Gökhan İnalhan, Antonios Tsourdos	2024	37	4
65	Modeling Xanthan Gum Foam’s Material Properties Using Machine Learning Methods Halime Ergün, Mehmet Emin Ergün	2024	21	4
66	A Survey of Incremental Deep Learning for Defect Detection in Manufacturing Reenu Mohandas, Mark Southern, Eoin O’Connell, Martin J. Hayes	2024	20	4
67	Stress-constrained optimization of multiscale structures with parameterized microarchitectures using machine learning Nolan Black, Ahmad R. Najafi	2024	15	4
68	Resolution-enhanced X-ray fluorescence microscopy via deep residual networks Longlong Wu, Seong‐Min Bak, Youngho Shin, Yong S. Chu, Shinjae Yoo, Ia...	2023	22	4
69	Building Surface Crack Detection Using Deep Learning Technology Yulong Chen, Zilong Zhu, Zhijie Lin, Youmei Zhou	2023	46	4
70	Research on tire crack detection using image deep learning method Shih-Lin Lin	2023	35	4
71	End-to-end material thermal conductivity prediction through machine learning Yagyank Srivastava, Ankit Jain	2023	21	4
72	Machine learning-based soft-sensor development for road quality classification Nagy Roland, Alex Kummer, János Abonyi, István Szalai	2023	14	4
73	Machine learning-based damage sensing and self-healing of carbon fiber/nylon composites via addressable conducting networks Myeong-Hyeon Yu, Ji-Seok Lee, Hak‐Sung Kim	2023	10	4
74	Virtual sample generation in machine learning assisted materials design and discovery Pengcheng Xu, Xiaobo Ji, Minjie Li, Wencong Lu	2023	20	4
75	Fast Inverse Design of Transonic Airfoils by Combining Deep Learning and Efficient Global Optimization Feng Deng, Jianmiao Yi	2023	11	4
76	Prediction of Temperature of Liquid Steel in Ladle Using Machine Learning Techniques Łukasz Sztangret, Krzysztof Regulski, Monika Pernach, Łukasz Rauch	2023	11	4
77	Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids Matthew Tamasi, Roshan A. Patel, Carlos H. Borca, Shashank Kosuri, Hel...	2022	177	4
78	Single channel blind source separation of complex signals based on spatial‐temporal fusion deep learning Weilin Luo, Ruijuan Yang, Hongbin Jin, Xiaobai Li, Hao Li, Kangbo Lian...	2022	29	4
79	Additive manufacturing: A machine learning model of process-structure-property linkages for machining behavior of Ti-6Al-4V Xi Gong, Dongrui Zeng, Willem Groeneveld-Meijer, Guha P. Manogharan	2022	47	4
80	Deep Learning-Based PC Member Crack Detection and Quality Inspection Support Technology for the Precise Construction of OSC Projects Seojoon Lee, Minkyeong Jeong, Chung-Suk Cho, Jaewon Park, Soonwook Kwo...	2022	32	4
81	Machine learning for the discovery of molecular recognition based on single-walled carbon nanotube corona-phases Xun Gong, Nicholas Renegar, Retsef Levi, Michael S. Strano	2022	26	4
82	Automatic Extraction of Indoor Spatial Information from Floor Plan Image: A Patch-Based Deep Learning Methodology Application on Large-Scale Complex Buildings Hyunjung Kim, Seong-Yong Kim, Kiyun Yu	2021	28	4
83	A Simulation-Data-Based Machine Learning Model for Predicting Basic Parameter Settings of the Plasticizing Process in Injection Molding Matthias C. Schmid, Dominik Altmann, Georg Steinbichler	2021	18	4
84	Development and Optimization of VGF-GaAs Crystal Growth Process Using Data Mining and Machine Learning Techniques Natasha Dropka, Klaus Böttcher, Martin Holeňa	2021	22	4
85	Green Building Energy Cost Optimization With Deep Belief Network and Firefly Algorithm Yan Biao Liao, Yong Liu, Chao‐Yu Chen, Lili Zhang	2021	11	4
86	In-situ identification of material batches using machine learning for machining operations Benjamin Lutz, Dominik Kißkalt, Andreas Mayr, Daniel Regulin, Matteo P...	2020	16	4
87	Laser-Induced Breakdown Spectroscopy Assisted by Machine Learning for Plastics/Polymers Identification Dimitrios Stefas, Nikolaos Gyftokostas, Elli Bellou, Stelios Couris	2019	72	4
88	Optimization of Silicone 3D Printing with Hierarchical Machine Learning Aditya Krishna Menon, Barnabás Póczos, Adam W. Feinberg, Newell R. Was...	2019	111	4
89	Sim-to-real transfer reinforcement learning for control of thermal effects of an atmospheric pressure plasma jet Matthew David Witman, Dogan Gidon, David B. Graves, Berend Smit, Ali M...	2019	46	4
90	Deep machine learning for detection of acoustic wave reflections Mulugeta Haile, Edward L. Zhu, Christopher D. Hsu, Natasha Bradley	2019	29	4
91	Machine learning for combinatorial optimization of brace placement of steel frames Takuya Tamura, Makoto Ohsaki, Jiro TAKAGI	2018	19	4
92	Benchmarking deep learning models for surface defect detection: a reproducible and statistically-rigorous approach Darío G. Lema, Lídia Sánchez-González, Rubén Usamentiaga, Francisco J....	2025	13	3
93	Data imputation strategies for process optimization of laser powder bed fusion of Ti6Al4V using machine learning Guo Dong Goh, Xi Huang, Sheng Huang, Jia Li Janessa Thong, Jia Jun Sea...	2023	22	3
94	Deep Learning-Based Defect Detection for Sustainable Smart Manufacturing Sang-Hyun Park, Kang-Hee Lee, Ji Su Park, Youn-Soon Shin	2022	29	3
95	Application of Machine Learning to Bending Processes and Material Identification Daniel J. Cruz, Manuel R. Barbosa, Abel Dias dos Santos, Sara S. Miran...	2021	35	3
96	Material Identification Using a Microwave Sensor Array and Machine Learning Luke Harrsion, Maryam Ravan, Dhara Tandel, Kunyi Zhang, Tanvi Patel, R...	2020	31	3
97	Study on growth rate of TiO <sub>2</sub> nanostructured thin films: simulation by molecular dynamics approach and modeling by artificial neural network Alireza Bahramian	2013	20	3
98	Advancing Crack Detection Using Deep Learning Solutions for Automated Inspection of Metallic Surfaces Snehal Rathi, Omkar Mirajkar, Shubhangi Shukla, Laukik Deshmukh, Lokes...	2024	33	2

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