Papers citing Artificial intelligence design algorithm for nanocomposites optimized for shear crack resistance
An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties
npj Computational Materials · 2023
Ali K. Shargh, Niaz Abdolrahim
Read original paper ↗ ·Banana/ coir biofibers and carbon/innegra fabrics and BN/MWCNT nanoparticles reinforced UV resistant polyester hybrid composites
Construction and Building Materials · 2023
H. Mohit, Sanjay Mavinkere Rangappa, Laongdaw Techawinyutham, Suchart Siengchin, Abeer Nasser Al‐Romaizan, Mahmoud Ali Hussein, Anish Khan, Abdullah Mohamed Asiri
Read original paper ↗ ·Prediction of tensile performance for 3D printed photopolymer gyroid lattices using structural porosity, base material properties, and machine learning
Materials & Design · 2023
Jacob Peloquin, Alina Kirillova, Cynthia D Rudin, L. Catherine Brinson, Ken Gall
Read original paper ↗ ·Predicting the temperature field of composite materials under a heat source using deep learning
Composite Structures · 2023
Sen Yang, Wen Yao, Linfeng Zhu, Liao-Liang Ke
Read original paper ↗ ·A short review on machine learning for the purpose of optimizing and predicting the properties of polymeric nanocomposites
Materials Today Proceedings · 2023
Abhishek Saxena, Amrinder Mehta, Hitesh Vasudev, Gaurav Prashar, Nisreen Yasir Jasim
Read original paper ↗ ·Prediction of complex strain fields in concrete using a deep learning approach
Construction and Building Materials · 2023
Pujin Wang, Jianzhuang Xiao, Chang Sun, Xu Wu, Long Li, Kequan Yu
Read original paper ↗ ·Perspective: Machine Learning in Design for 3D/4D Printing
Journal of Applied Mechanics · 2023
Xiaohao Sun, Kun Zhou, Frédéric Demoly, Ruike Renee Zhao, Hang Jerry Qi
Read original paper ↗ ·Deep learning-based detection method for analysis of high-pressure hydrogen induced damage in acrylonitrile butadiene rubber for hydrogen mobility
Materials & Design · 2023
Sang Min Lee, Byeong-Lyul Choi, Byeong-Lyul Choi, Un Bong Baek, Byoung‐Ho Choi, Byoung‐Ho Choi
Read original paper ↗ ·Generating three-dimensional bioinspired microstructures using transformer-based generative adversarial network
Journal of Materials Research and Technology · 2023
Yu-Hsuan Chiang, Bor‐Yann Tseng, Jyun-Ping Wang, Yu-Wen Chen, Cheng‐Che Tung, Chi‐Hua Yu, Po‐Yu Chen, Chuin‐Shan Chen
Read original paper ↗ ·Current Advancement and Future Prospects: Biomedical Nanoengineering
Current Radiopharmaceuticals · 2023
Sonia Kaur Singh, Hrishika Sahani
Read original paper ↗ ·Machine learning-based morphological and mechanical prediction of kirigami-inspired active composites
International Journal of Mechanical Sciences · 2023
Keke Tang, Yujie Xiang, Jie Tian, Jixin Hou, Xianyan Chen, Xianqiao Wang, Zheng Zhong
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 ↗ ·Deep learning in computational mechanics: a review
Computational Mechanics · 2024
Leon Herrmann, Stefan Kollmannsberger
Read original paper ↗ ·A bio-based nanofibre hydrogel filter for sustainable water purification
Nature Sustainability · 2024
Meihui Jiang, Chuyan Jing, Chuxin Lei, Xue Han, Yiqiang Wu, Shengjie Ling, Yingying Zhang, Qing Li, Haipeng Yu, Shouxin Liu, Jian Li, Wenshuai Chen, Guihua Yu
Read original paper ↗ ·Optimization of grid composite configuration to maximize toughness using integrated hierarchical deep neural network and genetic algorithm
Materials & Design · 2024
Jaemin Lee, Donggeun Park, Kundo Park, Hyunggwi Song, Taek‐Soo Kim, Seunghwa Ryu
Read original paper ↗ ·Prediction and optimization of global temperature field of composite materials under multiple heat sources
Composite Structures · 2024
Sen Yang, Wen Yao, Linfeng Zhu, Richard K.K. Yuen, Liao-Liang Ke
Read original paper ↗ ·Bottom‐Up Film‐to‐Bulk Assembly Toward Bioinspired Bulk Structural Nanocomposites
Advanced Materials · 2024
Siming Chen, Zhen‐Bang Zhang, Huai‐Ling Gao, Shu‐Hong Yu
Read original paper ↗ ·Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective
Archives of Computational Methods in Engineering · 2024
Chi Wu, Yanan Xu, Jianguang Fang, Qing Li
Read original paper ↗ ·High fidelity FEM based on deep learning for arbitrary composite material structure
Composite Structures · 2024
Jiaxi Li, Weian Yao, Yu Lu, Jianqiang Chen, Yan Guang Sun, Xiaofei Hu
Read original paper ↗ ·An automated design framework for composite mechanical metamaterials and its application to 2D pentamode materials
International Journal of Mechanical Sciences · 2024
S.E. Rodriguez, Emilio Patricio Calius, Akbar Afaghi Khatibi, Adrian C. Orifici, Raj Kishor Das
Read original paper ↗ ·Artificial Intelligence in Biomaterials: A Comprehensive Review
Applied Sciences · 2024
Yasemin Gokcekuyu, Fatih Ekinci, Mehmet Serdar Güzel, Koray Açıcı, Sahin Aydin, Tunç Aşuroğlu
Read original paper ↗ ·Equivalent Morphology Concept in Composite Materials Using Machine Learning and Genetic Algorithm Coupling
Journal of Composites Science · 2024
Hamdi Béji, Tanguy Messager, Toufik Kanit
Read original paper ↗ ·Data-driven bio-mimetic composite design: Direct prediction of stress–strain curves from structures using cGANs
Journal of the Mechanics and Physics of Solids · 2024
Chih‐Hung Chen, Kuan‐Ying Chen, Yi-Chung Shu
Read original paper ↗ ·FE-based machine learning model for predictive damage assessment in bonded composite joints via acoustic emission
Composites Part A Applied Science and Manufacturing · 2024
Wenhao Li, Dingcheng Ji, Zongyang Liu, Peijie Liao, Shun He, Marcus H. N. Yio, Baoning Chang, Fei Gao, Jing Lin
Read original paper ↗ ·Optimized Design of Mechanical Cantilever Structure Parameters and Stress Field Inversion Study Based on Deep Neural Network
SPIN · 2024
Jibin Guo, Zhongzhi Hou
Read original paper ↗ ·Machine learning-based multi-objective optimization of thermo-mechanical field of anisotropic plates
Thin-Walled Structures · 2024
Sen Yang, Wen Yao, Richard K.K. Yuen, Liao-Liang Ke
Read original paper ↗ ·Bioinspired Materials for Sustainable Technological Development
Materials horizons · 2025
Deepa Singh, Sonika Chauhan, Neeraj Bisht, Nisha Rani, Rakesh Chandra, Shailesh Yadav
Read original paper ↗ ·Methodological Overview of Deep Learning in Computational Mechanics
Springer eBooks · 2025
Leon Herrmann, Moritz Jokeit, Oliver Weeger, Stefan Kollmannsberger
Read original paper ↗ ·Prospects of Machine Learning-Driven Atomistic Simulations: A Review
Materials horizons · 2025
Kritesh Kumar Gupta, Sudip Dey, Tanmoy Mukhopadhyay
Read original paper ↗ ·State of the art in machine learning for the purpose of optimizing and predicting the properties of polymeric nanocomposites
Elsevier eBooks · 2025
Amrinder Mehta, Hitesh Vasudev, Chander Prakash, Alokesh Pramanik, Animesh Kumar Basak, S. Shankar
Read original paper ↗ ·Neuro-symbolic artificial intelligence in accelerated design for 4D printing: Status, challenges, and perspectives
Materials & Design · 2025
Oualid Bougzime, Christophe Cruz, Jean–Claude André, Kun Zhou, Hang Jerry Qi, Frédéric Demoly
Read original paper ↗ ·Evaluation of tensile properties of 3D-printed lattice composites: Experimental and machine learning-based predictive modelling
Composites Part A Applied Science and Manufacturing · 2025
Itkankhya Mahapatra, Niranjan Chikkanna, Shanmugam Kumar, Rengaswamy Jayaganthan, Velmurugan Ramachandran
Read original paper ↗ ·Revolutionizing the Future of Smart Materials: A Review of 4D Printing, Design, Optimization, and Machine Learning Integration
Advanced Materials Technologies · 2025
Kashif Azher, Aamer Nazir, Muhammad Umar Farooq, Muhammad Rizwan ul Haq, Zulfiqar Ali, Ahmed S. Dalaq, Abba Abdulhamid Abubakar, Sajjad Hussain, Mujahid Naqeebuddin Syed, Abid Ullah, Rashid Ali Laghari, Sikandar Khan
Read original paper ↗ ·Prediction of damage evolution in CMCs considering the real microstructures through a deep-learning scheme
Computer Methods in Applied Mechanics and Engineering · 2025
Rongqi Zhu, Guohao Niu, Panding Wang, Chunwang He, Zhaoliang Qu, Daining Fang
Read original paper ↗ ·Artificial Intelligence Driven Applications in Analytical Chemistry, Drug Discovery, and Food Science: Advancements, Outlook, and Challenges
ChemistrySelect · 2025
Madhumita Srivastava, Shiv Nandan, Aliza Zaidi, Arzoo Saifi Samani, Vijaya Shukla, Hasan Aslam, Anshumaan Srivastava, Priyanka Maurya, Mohsin Ali Khan, Mohammad Faheem Khan, Karuna Shanker
Read original paper ↗ ·Recent Advances in Molybdenum Disulfide (MoS 2 ) and MXene‐based Heterostructures for Photovoltaic and Water Splitting Applications: A Review
ChemistrySelect · 2025
Peter Chidiebere Obodo, Kingsley Onyebuchi Obodo, Uyiosa Osagie Aigbe, Victor Sunday Aigbodion
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 ↗ ·Hierarchical design of mechanical metamaterials: an application on pentamode-like structures
International Journal of Mechanical Sciences · 2025
S.E. Rodriguez, Emilio Patricio Calius, Akbar Afaghi Khatibi, Adrian C. Orifici, Raj Kishor Das
Read original paper ↗ ·Predicting compressive stress-strain behavior of elasto-plastic porous media via morphology-informed neural networks
Communications Engineering · 2025
Winston F Lindqwister, Jacob Peloquin, Laura E. Dalton, Ken Gall, Manolis Veveakis
Read original paper ↗ ·Optimizing Bioinspired Composite Materials Using Deep Q‐Network Reinforcement Learning and Finite Element Methods
Advanced Engineering Materials · 2025
Bor‐Yann Tseng, Yu‐Wen Chen, Hooi‐Hao Loo, Chuan‐Hsun Hsiao, Chih‐Sheng Tsai, Hao‐Jing Hsu, Po‐Cheng Lai, Shengsheng Yu, Chi‐Hua Yu
Read original paper ↗ ·Advancing cancer diagnosis through surface plasmon resonance detection of extracellular vesicles
TrAC Trends in Analytical Chemistry · 2025
Ziyang Zhou, Qiaoqiao Tang, Bo Yao, Guangzhong Ma
Read original paper ↗ ·A review of artificial intelligence (AI)-based applications to nanocomposites
Composites Part A Applied Science and Manufacturing · 2025
Krishna Prasath Logakannan, Ibrahim Güven, Gregory M. Odegard, Kan Wang, Chuck Zhang, Zhiyong Liang, Ashley D. Spear
Read original paper ↗ ·Recent Progress of Artificial Intelligence Application in Polymer Materials
Polymers · 2025
Teng Long, Qianqian Pang, Yanyan Deng, Xiteng Pang, Yixuan Zhang, Rui Yang, Chuanjian Zhou
Read original paper ↗ ·A comprehensive Ai-driven framework for predictive design of grained materials: Case study on nanoglass
Acta Materialia · 2025
Alireza Edalatmanesh, Maryam Mahnama
Read original paper ↗ ·Artificial intelligence-assisted next-generation biomaterials: From design and preparation to medical applications
Colloids and Surfaces B Biointerfaces · 2025
Bixia Zhou, Xin Li, Yuchen Pan, Bingfang He, Bingbing Gao
Read original paper ↗ ·Tailoring Frictional Properties of Surfaces Using Diffusion Models
The Journal of Physical Chemistry C · 2025
Even Marius Nordhagen, Henrik Andersen Sveinsson, Anders Malthe‐Sørenssen
Read original paper ↗ ·Multidisciplinary approaches to microstructural impacts on strength and fracture: from fundamental equations to machine learning techniques
Applied Physics A · 2025
Mahdieh Tajabadi Ebrahimi, Mahdi Fakoor
Read original paper ↗ ·Artificial intelligence-driven approaches for the rational design of peptides with predictable aggregation propensity
npj Soft Matter · 2025
Shuo Yang, Jing Ren, Wenli Gao, Leitao Cao, Shengjie Ling
Read original paper ↗ ·Feasible-machining-area mapping through AI for bandsawing
Results in Engineering · 2025
Chi‐Hua Yu, Mao-Ken Hsu, Shun-Ying Huang, Chen‐Wei Conan Guo, Yeau‐Ren Jeng
Read original paper ↗ ·The Future of Polymer Science: Artificial Intelligence and Beyond
Engineering materials · 2026
Akshita, Devang Shukla, Rohit Verma, Tejendra Kumar Gupta, Deepshikha Gupta, Ravi Kant Choubey, Sunil Kumar, Vijay Kumar
Read original paper ↗ ·