Fetching the paper…
Reading the bibliography…
Biological structural designs in nature, like hoof walls, horns, and antlers, can be used as inspiration for generating structures with excellent mechanical properties.
Fracture toughness design in horse hoof keratin
JEA Bertram and JM Gosline · 1986
Earlier work this paper cites.
An analysis of the forces of fighting of the blackbuck (antilope cervicapra) and the bighorn sheep (ovis canadensis) and the mechanical design of the horn of bovids
Andrew Kitchener · 1988
Earlier work this paper cites.
Design complexity and fracture control in the equine hoof wall
Mario A Kasapi and John M Gosline · 1997
Earlier work this paper cites.
Advantages of the mean absolute error (mae) over the root mean square error (rmse) in assessing average model performance
Cort J Willmott and Kenji Matsuura · 2005
Earlier work this paper cites.
Biological materials: Structure and mechanical properties
Marc André Meyers, Po-Yu Chen, Albert Yu-Min Lin, and Yasuaki Seki · 2008
Earlier work this paper cites.
Microstructure, elastic properties and deformation mechanisms of horn keratin
Luca Tombolato, Ekaterina E Novitskaya, Po-Yu Chen, Fred A Sheppard, and Joanna McKittrick · 2010
Earlier work this paper cites.
Energy absorbent natural materials and bioinspired design strategies: a review
J McKittrick, P-Y Chen, L Tombolato, EE Novitskaya, MW Trim, GA Hirata, EA Olevsky, MF Horstemeyer, and MA Meyers · 2010
Earlier work this paper cites.
Scikit-learn: Machine learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al · 2011
Earlier work this paper cites.
Shape optimization of thin-walled steel sections using graph theory and aco algorithm
Pezhman Sharafi, Lip H Teh, and Muhammad NS Hadi · 2014
Earlier work this paper cites.
Artificial neural network approach for prediction of stress–strain curve of near
Srinivasu Gangi Setti and RN Rao · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Design and development of a bio-inspired flapping wing type micro air vehicle
Sachin Mishra, Brajesh Tripathi, Sahil Garg, Ajay Kumar, and Pradeep Kumar · 2015
Earlier work this paper cites.
Keras, 2015
Francois Chollet et al · 2015
Earlier work this paper cites.
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
Earlier work this paper cites.
Horn and horn core trabecular bone of bighorn sheep rams absorbs impact energy and reduces brain cavity accelerations during high impact ramming of the skull
Aaron Drake, Tammy L Haut Donahue, Mitchel Stansloski, Karen Fox, Benjamin B Wheatley, and Seth W Donahue · 2016
Earlier work this paper cites.
Topology optimization for crashworthiness of thin-walled structures under axial impact using hybrid cellular automata
Fabian Duddeck, Stephan Hunkeler, Pablo Lozano, Erich Wehrle, and Duo Zeng · 2016
Earlier work this paper cites.
The beetle elytron plate: A lightweight, high-strength and buffering functional-structural bionic material
Xiaoming Zhang, Juan Xie, Jinxiang Chen, Yoji Okabe, Longcheng Pan, and Mengye Xu · 2017
Cited alongside, same era.
Energy absorption in functionally graded concrete bioinspired by sea urchin spines
Nicu Toader, Werner Sobek, and Klaus G Nickel · 2017
Cited alongside, same era.
Improved hybrid cellular automata for crashworthiness optimization of thin-walled structures
Duo Zeng and Fabian Duddeck · 2017
Cited alongside, same era.
Mechanical properties of model two-phase composites with continuous compared to discontinuous phases
Fereshteh Alsadat Sabet, Frances Yenan Su, Joanna McKittrick, and Iwona Jasiuk · 2018
Cited alongside, same era.
Microstructure and mechanical properties of different keratinous horns
Y Zhang, W Huang, C Hayashi, J Gatesy, and J McKittrick · 2018
Cited alongside, same era.
Prediction of composite microstructure stress-strain curves using convolutional neural networks
Charles Yang, Youngsoo Kim, Seunghwa Ryu, and Grace X Gu · 2020
Later among the works it cites.
Experimental investigation and uncertainty prediction of the load-carrying capacity of composite double hat for lattice core sandwich panels using artificial neural network
Othman Laban, Samer Gowid, and Elsadig Mahdi · 2020
Later among the works it cites.
Controlling the properties of additively manufactured cellular structures using machine learning approaches
Hany Hassanin, Yusra Alkendi, Mahmoud Elsayed, Khamis Essa, and Yahya Zweiri · 2020
Later among the works it cites.
Bioinspired approaches for toughening of fibre reinforced polymer composites
L Amorim, A Santos, JP Nunes, and JC Viana · 2021
Later among the works it cites.
Bioinspired energy absorbing material designs using additive manufacturing
Aniket Ingrole, Trevor G Aguirre, Luca Fuller, and Seth W Donahue · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Experimental and numerical study on the energy absorption abilities of trabecular–honeycomb biomimetic structures inspired by beetle elytra
Xindi Yu, Longcheng Pan, Jinxiang Chen, Xiaoming Zhang, and Peixing Wei · 2019
Cited alongside, same era.
Numerical analysis for design of bioinspired ceramic modular armors for ballistic protections
Vicente Francisco González-Albuixech, Marcos Rodríguez-Millán, T Ito, JA Loya, and MH Miguelez · 2019
Cited alongside, same era.
Horse hoof inspired biomimetic structure for improved damage tolerance and crack diversion
Clark Rice and KT Tan · 2019
Cited alongside, same era.
Machine learning for composite materials
Chun-Teh Chen and Grace X Gu · 2019
Cited alongside, same era.
Prediction and optimization of mechanical properties of composites using convolutional neural networks
Diab W. Abueidda, Mohammad Almasri, Rami Ammourah, Umberto Ravaioli, Iwona M. Jasiuk, and Nahil A. Sobh · 2019
Cited alongside, same era.
Convolutional neural network surrogate models for the mechanical properties of periodic structures
Mark C. Messner · 2019
Cited alongside, same era.
Predicting the mechanical response of oligocrystals with deep learning
Ari L Frankel, Reese E Jones, Coleman Alleman, and Jeremy A Templeton · 2019
Cited alongside, same era.
Abaqus, 2021
SIMULIA · 2021
Later among the works it cites.
Deep learning for plasticity and thermo-viscoplasticity
Diab W Abueidda, Seid Koric, Nahil A Sobh, and Huseyin Sehitoglu · 2021
Later among the works it cites.
LatticeOPT: a heuristic topology optimization framework for thin-walled, 2D extruded lattices
Junyan He, Shashank Kushwaha, Diab Abueidda, and Iwona Jasiuk · 2022
Later among the works it cites.
Quasi-static response of horse hoof inspired biomimetic structures
Muhammed Kamrul Islam, Hongxu Wang, Paul J Hazell, Md Abdul Kader, and Juan P Escobedo · 2022
Later among the works it cites.
Crushing behaviors of horse-hoof-wall inspired corrugated tubes under multiple loading conditions
Wen Ma, Suchao Xie, Zhixiang Li, Zhejun Feng, and Kunkun Jing · 2022
Later among the works it cites.
Generating 3d porous structures using machine learning and additive manufacturing
Petros Siegkas · 2022
Later among the works it cites.
Nature-inspired architected materials using unsupervised deep learning
Sabrina Chin-yun Shen and Markus J Buehler · 2022
Later among the works it cites.
Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads
Junyan He, Seid Koric, Shashank Kushwaha, Jaewan Park, Diab Abueidda, and Iwona Jasiuk · 2023
Closest in time.
Designing bioinspired composite structures via genetic algorithm and conditional variational autoencoder
Yi-Hung Chiu, Ya-Hsuan Liao, and Jia-Yang Juang · 2023
Closest in time.
Accelerating optimization design of bio-inspired interlocking structures with machine learning
Zhongqiu Ding, Hong Xiao, Yugang Duan, and Ben Wang · 2023
Closest in time.