A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites
出版年份 2022 全文链接
标题
A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites
作者
关键词
-
出版物
MATERIALS & DESIGN
Volume 223, Issue -, Pages 111192
出版商
Elsevier BV
发表日期
2022-09-23
DOI
10.1016/j.matdes.2022.111192
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Adaptive affine homogenization method for Visco-hyperelastic composites with imperfect interface
- (2022) Youngsoo Kim et al. APPLIED MATHEMATICAL MODELLING
- Neural network-assisted optimization of segmented thermoelectric power generators using active learning based on a genetic optimization algorithm
- (2022) Wabi Demeke et al. Energy Reports
- Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning
- (2021) Xiaoying Zhuang et al. EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
- Efficient convolutional neural network with multi-kernel enhancement features for real-time facial expression recognition
- (2021) Minze Li et al. Journal of Real-Time Image Processing
- Deep saliency models learn low-, mid-, and high-level features to predict scene attention
- (2021) Taylor R. Hayes et al. Scientific Reports
- Deep learning framework for material design space exploration using active transfer learning and data augmentation
- (2021) Yongtae Kim et al. npj Computational Materials
- Teaching solid mechanics to artificial intelligence—a fast solver for heterogeneous materials
- (2021) Jaber Rezaei Mianroodi et al. npj Computational Materials
- An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications
- (2020) E. Samaniego et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Prediction of composite microstructure stress-strain curves using convolutional neural networks
- (2020) Charles Yang et al. MATERIALS & DESIGN
- Micromechanics-Based Homogenization of the Effective Physical Properties of Composites With an Anisotropic Matrix and Interfacial Imperfections
- (2019) Seunghwa Ryu et al. Frontiers in Materials
- Application of Gaussian Process regression models for capturing the evolution of microstructure statistics in aging of Nickel-based superalloys
- (2019) Yuksel C. Yabansu et al. ACTA MATERIALIA
- Interpretable deep learning for guided microstructure-property explorations in photovoltaics
- (2019) Balaji Sesha Sarath Pokuri et al. npj Computational Materials
- Voxelated soft matter via multimaterial multinozzle 3D printing
- (2019) Mark A. Skylar-Scott et al. NATURE
- Investigation of effective thermoelectric properties of composite with interfacial resistance using micromechanics-based homogenisation
- (2019) Jiyoung Jung et al. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
- Combining numerical models and discretizing methods in the analysis of bamboo parenchyma using finite element analysis based on X-ray microtomography
- (2019) Felipe Luis Palombini et al. WOOD SCIENCE AND TECHNOLOGY
- Effective design space exploration of gradient nanostructured materials using active learning based surrogate models
- (2019) Xin Chen et al. MATERIALS & DESIGN
- An explainable deep machine vision framework for plant stress phenotyping
- (2018) Sambuddha Ghosal et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches
- (2018) Zijiang Yang et al. ACTA MATERIALIA
- Materials knowledge system for nonlinear composites
- (2018) Marat I. Latypov et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Topology Optimization for Architected Materials Design
- (2016) Mikhail Osanov et al. Annual Review of Materials Research
- Combinatorial design of textured mechanical metamaterials
- (2016) Corentin Coulais et al. NATURE
- Microfluidic Printheads for Multimaterial 3D Printing of Viscoelastic Inks
- (2015) James O. Hardin et al. ADVANCED MATERIALS
- Soft network composite materials with deterministic and bio-inspired designs
- (2015) Kyung-In Jang et al. Nature Communications
- Designing bioinspired composite reinforcement architectures via 3D magnetic printing
- (2015) Joshua J. Martin et al. Nature Communications
- Bio-inspired impact-resistant composites
- (2014) L.K. Grunenfelder et al. Acta Biomaterialia
- A Review: Natural Fiber Composites Selection in View of Mechanical, Light Weight, and Economic Properties
- (2014) Furqan Ahmad et al. MACROMOLECULAR MATERIALS AND ENGINEERING
- Two-scale analysis of a filament-wound cylindrical structure and application of periodic boundary conditions
- (2008) Yunfa Zhang et al. INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
- An efficient approach to converting three-dimensional image data into highly accurate computational models
- (2008) P.G Young et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
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