Papers citing Artificial intelligence and machine learning in design of mechanical materials
Facilitating polymer property prediction with machine learning and group interaction modelling methods
International Journal of Solids and Structures · 2023
Elaheh Kazemi-Khasragh, Juan P. Fernandéz‐Blázquez, David Garoz Gómez, Carlos González, Maciej Harańczyk
Read original paper ↗ ·Convolutional neural networks for compressible turbulent flow reconstruction
Physics of Fluids · 2023
Filippos D. Sofos, Dimitris Drikakis, Ioannis William Kokkinakis, S. Michael Spottswood
Read original paper ↗ ·Generative AI-enabled microstructure design of porous thermal interface materials with desired effective thermal conductivity
Journal of Materials Science · 2023
Chengjie Du, Guisheng Zou, Jinpeng Huo, Bin Feng, A Zhanwen, Lei Liu
Read original paper ↗ ·Machine Intelligence in Metamaterials Design
Venue not supplied by source · 2023
Gabrielis Cerniauskas, Haleema Sadia, Parvez Alam
Read original paper ↗ ·Operando measurements of dendrite-induced stresses in ceramic electrolytes using photoelasticity
Matter · 2023
Christos E. Athanasiou, Cole D. Fincher, Colin Gilgenbach, Huajian Gao, W. Craig Carter, Yet‐Ming Chiang, Brian W. Sheldon
Read original paper ↗ ·AI-enabled materials discovery for advanced ceramic electrochemical cells
Energy and AI · 2023
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 ↗ ·An intelligent crack damage assessment method by integrating information and physics
Engineering Fracture Mechanics · 2023
Xiangyun Long, Xinfeng Ding, Chao Jiang, Xiaoge Zhang, Wangwang Liao, Kai Liu
Read original paper ↗ ·Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
Composites Part B Engineering · 2023
Elizabeth Champa-Bujaico, Ana Maria Diez-Pascual, Alba Lomas Redondo, Pilar García-Díaz
Read original paper ↗ ·Applying recurrent neural networks to predict the work function of metal adatom adsorption on graphene
Diamond and Related Materials · 2023
Ling‐Feng Mao
Read original paper ↗ ·The role of simulation and modeling in artificial intelligence: A review
Advances in Complex Systems · 2023
Anup Kumar
Read original paper ↗ ·Algorithmic encoding of adaptive responses in temperature-sensing multimaterial architectures
Science Advances · 2023
Weichen Li, Yue Wang, Tian Chen, Xiaojia Shelly Zhang
Read original paper ↗ ·Machine learning-based design and optimization of double curved beams for multi-stable honeycomb structures
Extreme Mechanics Letters · 2023
Jizhou Yu, Xinlai Shi, Yuxuan Feng, Jinke Chang, Junbang Liu, Huifeng Xi, Shiqing Huang, Wen‐Hua Zhang
Read original paper ↗ ·An updated review of functional ingredients of Manuka honey and their value-added innovations
Food Chemistry · 2023
Sunan Wang, Yi Qiu, Fan Zhu
Read original paper ↗ ·Research on the Application of Artificial Intelligence in Mechanical Design and Manufacturing
International Conference on Information Technology in Medicine and Education · 2023
Xianyu Yang, Yang Yu-jing
Read original paper ↗ ·A Review of the Constitutive Modelling of Metals and Alloys in Machining Process
Archives of Computational Methods in Engineering · 2023
Hadi Bakhshan, Eugenio Oñate, Josep Maria Carbonell
Read original paper ↗ ·A Review of Data Science in Mechanical Engineering
International Conference on Digital Data Processing (DDP) · 2023
Kwanchai Saeweenan, Hathairat Ketmaneechairat
Read original paper ↗ ·Mechanical properties prediction and design of curved beams by neural network
Thin-Walled Structures · 2023
Junhua Zhang, Xiao Xue
Read original paper ↗ ·Mechanical Metamaterials Fabricated From Self-Assembly: A Perspective
Journal of Applied Mechanics · 2023
Hanxun Jin, Horacio Dante Espinosa
Read original paper ↗ ·Inverse design of mechanical metamaterial achieving a prescribed constitutive curve
Theoretical and Applied Mechanics Letters · 2023
Zongliang Du, Tanghuai Bian, Xiaoqiang Ren, Yibo Jia, Shan Tang, Tianchen Cui, Xu Guo
Read original paper ↗ ·A new optimal design synthesis method for flexure-based mechanism: recent advance of metaheuristic-based artificial intelligence for precision micropositioning system
Microsystem Technologies · 2023
Ngoc Thoai Tran, Minh Phung Dang, Thanh-Phong Dao
Read original paper ↗ ·Evolution of dislocation substructures in metals via high-strain-rate nanoindentation
Proceedings of the National Academy of Sciences · 2023
Yuwei Zhang, B. Hackett, Jiaqi Dong, Kelvin Y. Xie, George M. Pharr
Read original paper ↗ ·Maximizing Triboelectric Nanogenerators by Physics‐Informed AI Inverse Design
Advanced Materials · 2023
Pengcheng Jiao, Zhong Lin Wang, Amir H. Alavi
Read original paper ↗ ·Strong, Tough, and Fast‐Recovery Hydrogels
Venue not supplied by source · 2023
Bin Xue, Yi Cao
Read original paper ↗ ·Application of Random Forest and Support Vector Machine for Investigation of Pressure Filtration Performance, a Zinc Plant Filter Cake Modelling
International Journal of Mineral Processing and Extractive Metallurgy · 2023
Masoume Kazemi, Davood Moradkhani, Alireza Abbas Alipour
Read original paper ↗ ·Prediction of concrete and FRC properties at high temperature using machine and deep learning: A review of recent advances and future perspectives
Journal of Building Engineering · 2023
Nizar Faisal Alkayem, Lei Shen, Ali Mahmoud Mayya, Panagiotis G. Asteris, Ronghua Fu, Giovanni Di Luzio, Alfred Strauß, Maosen Cao
Read original paper ↗ ·Unlocking the Potential of the ANN Optimization in Sweet Potato Varieties Drying Processes
Foods · 2023
Olja Šovljanski, Biljana Lj. Lončar, Lato L. Pezo, Anja Saveljić, Ana Tomić, Sara Brunet, Vladimir Filipović, Jelena Filipović, Jasna M. Čanadanović‐Brunet, Gordana Ćetković, Vanja Travičić
Read original paper ↗ ·An Empirical Investigation of the Demographic Differences in Attitude Toward Femvertising: The Case of Turkey
Özgür Yayınları eBooks · 2023
Melis Erçin Yurcu
Read original paper ↗ ·Deneyimsel Pazarlama Kavramının Bibliyometrik Analiz ile İncelenmesi
Özgür Yayınları eBooks · 2023
Aytaç Erdem
Read original paper ↗ ·Dijital Dönüşümde Haberleşme İnovasyonu
Özgür Yayınları eBooks · 2023
Paşa Gültaş, Mustafa Gültaş
Read original paper ↗ ·Dijitalleşme ve Pazarlama Araştırmaları
Özgür Yayınları eBooks · 2023
Dora Uzkesici, Çiğdem Sofyalıoğlu, Burak Kartal, Mert Aktaş, Sinan Çavuşoğlu, Hüseyin Fatih Atlı, Esra Özkan Pir, Aytaç Erdem, Paşa Gültaş, Mustafa Gültaş, Melis Erçin Yurcu
Read original paper ↗ ·Enhanced prediction of transverse mechanical behavior of unidirectional fiber-reinforced composites using new spatial descriptors based on deep neural networks
Composite Structures · 2023
Sun Won Kim, Jae Hyuk Lim, Jae Hyuk Lim
Read original paper ↗ ·Marka Bağımlılığı
Özgür Yayınları eBooks · 2023
Dora Uzkesici
Read original paper ↗ ·Pazarlama Araştırmalarında Yapay Zeka (AI) ile Müşteri Deneyimi: Tüketici Davranışlarının Analizinde Yapay Zeka Çözümleri
Özgür Yayınları eBooks · 2023
Hüseyin Fatih Atlı
Read original paper ↗ ·Pazarlamada Yapay Zekâ
Özgür Yayınları eBooks · 2023
Mert Aktaş, Sinan Çavuşoğlu
Read original paper ↗ ·Sustainable Brand Management: A Forward-Looking Perspective in The Business World
Özgür Yayınları eBooks · 2023
Esra Özkan Pir
Read original paper ↗ ·Tedarik Zinciri Bakış Açısıyla Şirketlerin Yeşil Aklama ile Başa Çıkma Stratejileri
Özgür Yayınları eBooks · 2023
Çiğdem Sofyalıoğlu, Burak Kartal
Read original paper ↗ ·A Conceptual Framework for Trustworthy AI Decisions Across the Materials Design Lifecycle
Journal of Artificial Intelligence for Materials Science · 2024
Wei Chen, Li Zhang
Read original paper ↗ ·Artificial Intelligence - Insights into the Mechanics of Biomaterials: Predicting the Compressive Load of Composite Sandwich Structures
Lecture notes in networks and systems · 2024
Danial Sheini Dashtgoli, Seyedahmad Taghizadeh, Lorenzo Maccioni, Franco Concli
Read original paper ↗ ·Artificial Intelligence and Machine Learning for Material Characterizations and Mechanical Properties
Tissue repair and reconstruction · 2024
Nura Brimo, Dilek Çökeli̇ler Serdaroğlu, Halit Muhittin
Read original paper ↗ ·Artificial intelligence in civil engineering
Elsevier eBooks · 2024
Nishant Raj Kapoor, Ashok Kumar, Anuj Kumar, Aman Kumar, Harish Chandra Arora
Read original paper ↗ ·Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications
Data-Centric Engineering · 2024
Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni Chatzi
Read original paper ↗ ·Identifying constitutive parameters for complex hyperelastic materials using physics-informed neural networks
Soft Matter · 2024
Siyuan Song, Hanxun Jin
Read original paper ↗ ·Machine intelligence in mechanical engineering: an introduction
Elsevier eBooks · 2024
Elango Natarajan, Kayaroganam Palanikumar, Sengottuvelu Ramesh, João Paulo Davim, Kevin Kumar
Read original paper ↗ ·Machine intelligence in metamaterials design: a review
Oxford Open Materials Science · 2024
Gabrielis Cerniauskas, Haleema Sadia, Parvez Alam
Read original paper ↗ ·Machine learning assisted biosensing technology: An emerging powerful tool for improving the intelligence of food safety detection
Current Research in Food Science · 2024
Zixuan Zhou, Daoming Tian, Yingao Yang, Han Cui, Yanchun Li, Shuyue Ren, Tie Han, Zhixian Gao
Read original paper ↗ ·Predicting rare earth elements concentration in coal ashes with multi-task neural networks
Materials Horizons · 2024
Yu Jin Song, Yifan Zhao, Alex Ginella, Benjamin Gallagher, Gaurav Sant, Mathieu Bauchy
Read original paper ↗ ·Prediction of Stress Fields in Particulate Polymer Composites Using Micromechanics-Based Artificial Intelligence Model
Lecture notes in civil engineering · 2024
Sristi Gupta, Tanmoy Mukhopadhyay, Divyesh M. Varade, Vinod Kushvaha
Read original paper ↗ ·ProtAgents: protein discovery via large language model multi-agent collaborations combining physics and machine learning
Digital Discovery · 2024
Alireza Ghafarollahi, Markus J. Buehler
Read original paper ↗ ·Rapid Prediction of Grain Boundary Network Evolution in Nanomaterials Utilizing a Generative Machine Learning Approach
Extreme Mechanics Letters · 2024
Yuheng Wang, Amirreza Kazemi, Taotao Jing, Zhengming Ding, Like Li, Shengfeng Yang
Read original paper ↗ ·Recent advances of MOF-based SERS substrates in quantitative analysis of food contaminants: a review
The Analyst · 2024
Ying Gu, Xujun Pu, Jinxin Chen, Lunzhao Yi, Junlong Bi, Fengmin Duan, Kun Ge
Read original paper ↗ ·