Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment
Gu, Grace X., Chen, Chun-Teh, Richmond, Deon J., Buehler, Markus J.·2018·Materials Horizons
Cited by (557)
Items 501–557 of 557
- Machine learning accelerated topology optimization of nonlinear structures.Diab Abueidda, Seid Korić, Nahil Sobh · 2020 · arXiv (Cornell University)
- Transfer learning for enhancing the homogenization-theory-based prediction of elasto-plastic response of particle/fiber-reinforced compositesJiyoung Jung, Yong-Taek Kim, Jinkyoo Park, Seunghwa Ryu · 2021
- Investigation of Heat Source Layout Optimization by Using Deep Learning Surrogate ModelsJi Lang, Qianqian Wang · 2023 · SSRN Electronic Journal
- Molecular Generation Targeting Desired Electronic Properties via Deep Generative ModelsYuan Qi, Alejandro Santana‐Bonilla, Martijn A. Zwijnenburg, Kim E. Jelfs · 2019 · ChemRxiv
- Data-driven Approach for the Development of a Finite Element Model for Composite Thin-walled BeamDongil Shin · 2019
- Deep learning accelerated topology optimization of linear and nonlinear structuresDiab Abueidda, Seid Korić, Nahil Sobh · 2020 · arXiv (Cornell University)
- Parts Design and Process OptimizationHany S. Hassanin, Prveen Bidare, Yahya Zweiri, Khamis Essa · 2021 · Advances in computational intelligence and robotics book series
- Polymerization in nature yields clues to innovation in additive manufacturingThomas A. McKeag · 2022 · Elsevier eBooks
- Application of Machine Learning Algorithms and Models in 3D PrintingChetanpal Singh · 2022 · Wiley eBooks
- Intraoperative bioprintingYang Bo Wu, Jerry Ying Hsi Fuh, Ibrahim Tarik Ozbolat · 2023 · Elsevier eBooks
- Microstructure hull and designMajid Baniassadi, Mostafa Baghani, Yves Rémond · 2023 · Elsevier eBooks
- Material Stiffness Prediction Based on Neural Network and Symbolic RegressionJixuan Yi, Yiwen Li, Kai Zhang · 2023 · International Conference on Computer Engineering and Application (ICCEA)
- Analyzing Additive Manufacturing Feature SpacesMutahar Safdar, Guy Lamouche, Padma Polash Paul, Gentry Wood, Yaoyao Fiona Zhao · 2023 · SpringerBriefs in applied sciences and technology
- IntroductionMutahar Safdar, Guy Lamouche, Padma Polash Paul, Gentry Wood, Yaoyao Fiona Zhao · 2023 · SpringerBriefs in applied sciences and technology
- Future Trends of Using Artificial Intelligence in Oral and Maxillofacial SurgeryParisa Motie, Rata Rokhshad, Niusha Gharehdaghi, Hossein Mohammad‐Rahimi, Parisa Soltani, Saeed Reza Motamedian · 2023 · Springer eBooks
- Optimization of Machine Learning in Predicting Fracture Behaviour of Materials in AIGaurav Joshi · 2018 · Türk bilgisayar ve matematik eğitimi dergisi
- Data-efficient one-step mechanical design of composites using generative AIMana Masrouri, Zhao Qin A · 2024 · World Congress on Computational Mechanics (WCCM)
- Design of Novel Auxetic Bi-Materials Using Convolutional Neural NetworksIulian Constantin Coropeţchi, Dan Mihai Constantinescu, Alexandru Vasile, Andrei Ioan Indreș, Ștefan Sorohan · 2025 · Materials
- Modulus tunability in hierarchical architectures: a machine learning-enabled approachLiuchao Jin, Kang Zhang, Sicong Zhou, Guoquan Xie, Wei‐Hsin Liao · 2025
- Application of artificial intelligence in multimaterial additive manufacturingIzabela Rojek · 2025 · Elsevier eBooks
- Bioinspired Materials for Sustainable Technological DevelopmentDeepa Singh, Sonika Chauhan, Neeraj Bisht, Nisha Rani, Rakesh Chandra, Shailesh Yadav · 2025 · Materials horizons
- Direct search methods for determining new designs of auxetic composite materialsIulian Constantin Coropeţchi, Dan Mihai Constantinescu, Alexandru Vasile, Andrei Ioan Indreș, Ștefan Sorohan, Dragoş Alexandru Apostol · 2025 · Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana
- Data-Driven Design of Modular Pin-Based Metastructures with Programmable StiffnessMehdi Nezami, Hamid Sadraei, Amir Qolipour, Mostafa Baghani, Karen Abrinia, Daniel George, Majid Baniassadi · 2025 · SSRN Electronic Journal
- Machine Learning–Based Multi‐Point Load Sensing for Smart SkinsFan Liu, Xihang Jiang, Guangyu He, Rongguang Xu, Zi Chen, Lifeng Wang · 2025 · Advanced Materials Technologies
- Machine Learning Design of Soft Magnetoresponsive Materials With Multidirectional FieldsXin Ye, Yilong Zhang, Hanlin Zhu, Hui Huang, Rui Lv, Shiwei Zhao, Yan Zhao, Chao Jiang · 2025 · SmartMat
- Neural networks for the prediction of peel force for skin adhesive interface using FEM simulationAshish Masarkar, Rakesh Kumar Gupta, Naga Neehar Dingari, Beena Rai · 2025 · Next research.
- Artificial neural networks for biomaterials developmentMaryam Sadat Adibhosseini, Hossein Madineh, Ali Samadi, Mohannad Zeyad Naser · 2025 · Elsevier eBooks
- From human genome to materials genomeHossein Madineh, Raha Zarrintaj, Ali Samadi, Payam Zarrintaj, Saeid SamadiDana · 2025 · Elsevier eBooks
- Advanced Design for Weakly Coupled Resonators by Automatic Active OptimizationWei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin · 2025 · Advanced Materials Technologies
- A Systematic Design Approach for Magneto-Active Elastomers With Bayesian Network Classifiers Considering Manufacturing VariabilityTan Pan, Brandon Yu, Carolyn Conner Seepersad, Zoubeida Ounaies, Mary Frecker · 2026 · Journal of Mechanical Design
- Application of machine learning in the field of porous bioceramicsMaziar Montazerian, Olivia Gennaro, Francesco Baino, John C. Mauro · 2026 · Elsevier eBooks
- Machine Learning-Accelerated Materials Genome Design of Hybrid Fiber Composites for Electric Vehicle LightweightingChin-Wen Liao, En-Shiuh Lin, Wei-Lun Huang, I-Chi Wang, Bo-Siang Chen, Wei‐Sho Ho · 2026 · JOURNAL OF POLYMER MATERIALS
- Crashworthiness and technoeconomic assessment of bioinspired GFRP PP tubes using experiments numerical modeling and artificial neural networksYucai Tian, Píng ZHOU, Fatma Ahmed Hassan, Omar Al-Khatib, Fuhaid Aziz Alshammari, Naser Mazraoui · 2026 · Scientific Reports
- A machine-learning-based model for predicting crack arrest fracture toughness through literature data miningGabriel Correa, Christos E. Athanasiou, Ting Zhu, Xing Liu · 2026 · Journal of Materials Science Materials Theory
- Multiscale study of the intelligent optimization of dimensional stability and mechanical properties of structures obtained by additive manufacturingMohammadhossein Nikooharftamiz · 2024
- A novel transforming mechanical metastructure capable of shape morphing and lockingGe Qi, Zhe-Yu Chen, Chen-xi Liu, Li Ma, Kai‐Uwe Schröder · 2026 · Materials & Design
- The Future of Polymer Science: Artificial Intelligence and BeyondAkshita, Devang Shukla, Rohit Verma, Tejendra Kumar Gupta, Deepshikha Gupta, Ravi Kant Choubey, Sunil Kumar, Vijay Kumar · 2026 · Engineering materials
- Modeling Study on the Mechanical Properties of CFRP Joint Under Hygrothermal ConditionsHui Li, G Li, Yuxuan Cui, Yao Wang, Qing Zhao, Z H Zhang, Shipeng Li, Guoyu Fu · 2026 · Applied Composite Materials
- How machine learning and artificial intelligence are transforming bone regenerationVera Butova, Ekaterina R. Kolomenskaya, Maria Butakova, Anna Chernova · 2026 · Elsevier eBooks
- Advancements and future directions in the sustainable production of epoxy resin-based polymer composites: a comprehensive reviewMustafa Dağ, Ercan Aydoğmuş, Hasan Arslanoğlu · 2026 · Innovative Infrastructure Solutions
- From numerical optima to flight hardware: A review of topology optimization for space applicationsGrigorios Kostopoulos, Stelios K. Georgantzinos · 2026 · Acta Astronautica
- Machine Learning-Based Prediction of Landing Dynamic Response for Bogie Landing GearHailong Zhang, Wei Fang, Junfeng Zhao · 2026 · SAE technical papers on CD-ROM/SAE technical paper series
- A fish-skin-inspired wearable scale-ionogel composite for impact protection and motion sensingTianyu Xu, Zimu Li, L Y Mei, H Huang, Jie Tian, Zijian Mei, Shuting Liu, Xiaoming Liu, X Z Gong, Tianzhi Luo · 2026 · Chemical Engineering Journal
- The Future of Mechanical Metastructures: There is Plenty of Room at the TopWenwang Wu, Huabin Yu, Kang Xu, Huihui Yang, Haoyu Wang, Feng Xu, Tianjian Lu · 2026 · ENGINEERING Transformative Materials
- Multifunctional and Adaptive Composites Enabled by Additive Manufacturing and AI-Assisted DesignByron Oviedo · 2026 · Research Square
- Metal matrix composites: Bioinspired architectures, reinforcements and interfaces, multifunctionality, and data‑driven intelligent manufacturingWenqing Dai, Hanqing Dai, Yongfeng Geng, Shiyu He, Ding‐Bang Xiong, Di Zhang · 2026 · Progress in Materials Science
- From Structural Taxonomy to Machine-Learning-Compatible Representation: AI Inverse Design of Energy-Absorbing Structures - A Critical ReviewHaoyu Zhang, Eric Cheong Soon Ngin, Hao You, Hua Li · 2026 · SSRN Electronic Journal
- Deep Learning Predictions of Critical Buckling Loads in Polymer Matrix CompositesAnıl Burak Karalar, Seda Tepe, Tahir Soyugüzel, Demet Balkan, Halit Suleyman Turkmen · 2026 · International Conference on Recent Advances in Space Technologies
- Geometry-Adaptive Mechanics-Guided Surrogate Framework for nonlinear response prediction and inverse design of mechanical metamaterialsXinyi Ju, Yacong Zhang, Zhao Liu, Ping Zhu · 2026 · Thin-Walled Structures
- Human–machine collaboration and bioinspired design in additive manufacturing of advanced ceramic materialsSanthosh Kumar Alla, M. Ratanraju, CH. V. V. Ramana, N. Thirupathi Rao, Sabu Thomas, A. Sharma, A. Gangwar, Tapas Das · 2026 · Elsevier eBooks
- Bioinspired ceramic-metal interpenetrating phase composites: From multiscale structure to biomedical functionYongkang Yang, Zheng Zhu, Yunchen Fu, Bin Wu, Kaihao Zhang, Minghan Sun, Zengqian Liu, Huamin Zhou, Wei Dong Huang · 2026 · Review of Materials Research
- Intelligent additive manufacturing using AI and machine learningGurbhej Singh, Neha Sethi, Hitesh Vasudev, Jaspinder Singh Singh, Gurprinder Singh Dhindsa Singh · 2026 · Progress in Additive Manufacturing
- Optimizing Additive Manufacturing: Artificial Intelligence-Driven Process Innovations for Advanced Industrial and Energy SystemsASM Zulkarnayeen · 2025 · Frontora
- AI-enhanced and data-driven mechanical analysis and structural topology optimizationYilin Guo, Zongliang Du, Chang Liu, Weisheng Zhang, Shan Tang, Wenyu Hao, Zhengtong Zhao, Chang Wu, Zhiang Xu, Tanghuai Bian et al. · 2026 · Science China Technological Sciences
- Prediction of impact strength of green coconut fiber-reinforced unidirectional epoxy composites using machine learning approachMahbubul Muttakin, Mashrur Mahfuz, Md. Kharshiduzzaman, Khan Ishfar Bin Tarik, Md. Safayet Hossein, Pujan Aich, Md. Shahnewaz Bhuiyan · 2026 · Mechanics of Composite Materials
- Active learning for the design of a ductile nanocomposite from brittle constituentsMark Potter, Charles F. Jekel, Trenton Kirchdoerfer, Yunfeng Shi · 2026 · Computational Materials Science
- Digital Inverse Design of Ultrahigh-Strength Honeycombs by Upcycling Waste Glass Fibers via Polyarylate Nanofiber-Enabled Interlocking NetworksBo Yuan, Jingxian Wang, Yuyan Hu, Yuxuan Zhu, Jiuxiao Sun, Hanwen Zhang, 王罗新, Siwei Xiong, Hua Wang · 2026 · Advanced Industrial and Engineering Polymer Research