DeepCFD: Efficient near-ground airfoil lift coefficient approximation with deep convolutional neural networks
Fuente:
arXiv
Saved in:
| Main Authors: | Esabat, Mohammad Amin, Jaamei, Saeed, Asadi, Fatemeh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Numerical Simulation of Wavy-Flap Airfoil Performance at Low Reynolds Number: Insights from Lift and Drag Coefficient Analysis
by: Esabat, Mohammad Amin, et al.
Published: (2025)
by: Esabat, Mohammad Amin, et al.
Published: (2025)
Infinite-channel deep stable convolutional neural networks
by: Bracale, Daniele, et al.
Published: (2021)
by: Bracale, Daniele, et al.
Published: (2021)
On the VC dimension of deep group convolutional neural networks
by: Sepliarskaia, Anna, et al.
Published: (2024)
by: Sepliarskaia, Anna, et al.
Published: (2024)
On the dynamics of convolutional recurrent neural networks near their critical point
by: Chandra, Aditi, et al.
Published: (2024)
by: Chandra, Aditi, et al.
Published: (2024)
Symplectic convolutional neural networks
by: Yıldız, Süleyman, et al.
Published: (2025)
by: Yıldız, Süleyman, et al.
Published: (2025)
Accident Impact Prediction based on a deep convolutional and recurrent neural network model
by: Sajadi, Pouyan, et al.
Published: (2024)
by: Sajadi, Pouyan, et al.
Published: (2024)
Theory of periodic convolutional neural network
by: Liu, Yuqing
Published: (2025)
by: Liu, Yuqing
Published: (2025)
A lift for input-convex neural network training
by: Siahkoohi, Ali, et al.
Published: (2026)
by: Siahkoohi, Ali, et al.
Published: (2026)
Universal approximation with complex-valued deep narrow neural networks
by: Geuchen, Paul, et al.
Published: (2023)
by: Geuchen, Paul, et al.
Published: (2023)
Computing frustration and near-monotonicity in deep neural networks
by: Wendin, Joel, et al.
Published: (2025)
by: Wendin, Joel, et al.
Published: (2025)
Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks
by: Kasani, Amin Ahmadi, et al.
Published: (2024)
by: Kasani, Amin Ahmadi, et al.
Published: (2024)
Enhancing convolutional neural network generalizability via low-rank weight approximation
by: Gao, Chenyin, et al.
Published: (2022)
by: Gao, Chenyin, et al.
Published: (2022)
Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint
by: Shi, Zhongjie, et al.
Published: (2024)
by: Shi, Zhongjie, et al.
Published: (2024)
Optimization of randomized neural networks for transfer operator approximation
by: Tabish, Mohammad, et al.
Published: (2026)
by: Tabish, Mohammad, et al.
Published: (2026)
Metalearning traffic assignment for network disruptions with graph convolutional neural networks
by: Agriesti, Serio, et al.
Published: (2026)
by: Agriesti, Serio, et al.
Published: (2026)
Enhancing material property prediction with ensemble deep graph convolutional networks
by: Rahman, Chowdhury Mohammad Abid, et al.
Published: (2024)
by: Rahman, Chowdhury Mohammad Abid, et al.
Published: (2024)
On the rates of convergence for learning with convolutional neural networks
by: Yang, Yunfei, et al.
Published: (2024)
by: Yang, Yunfei, et al.
Published: (2024)
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
by: Zheng, Xiao, et al.
Published: (2025)
by: Zheng, Xiao, et al.
Published: (2025)
ConvConcatNet: a deep convolutional neural network to reconstruct mel spectrogram from the EEG
by: Xu, Xiran, et al.
Published: (2024)
by: Xu, Xiran, et al.
Published: (2024)
Large deviation principles for convolutional Bayesian neural networks
by: Bassetti, Federico, et al.
Published: (2026)
by: Bassetti, Federico, et al.
Published: (2026)
Imaging at the quantum limit with convolutional neural networks
by: Proppe, Andrew H., et al.
Published: (2025)
by: Proppe, Andrew H., et al.
Published: (2025)
Convergence of gradient flow for learning convolutional neural networks
by: Diederen, Jona-Maria, et al.
Published: (2026)
by: Diederen, Jona-Maria, et al.
Published: (2026)
Resource-efficient equivariant quantum convolutional neural networks
by: Chinzei, Koki, et al.
Published: (2024)
by: Chinzei, Koki, et al.
Published: (2024)
Tensor network compressibility of convolutional models
by: Singh, Sukhbinder, et al.
Published: (2024)
by: Singh, Sukhbinder, et al.
Published: (2024)
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks
by: Yang, Yunfei
Published: (2024)
by: Yang, Yunfei
Published: (2024)
Learning velocity model for complex media with deep convolutional neural networks
by: Stankevich, A., et al.
Published: (2021)
by: Stankevich, A., et al.
Published: (2021)
Learning local discrete features in explainable-by-design convolutional neural networks
by: Kaplanoglou, Pantelis I., et al.
Published: (2024)
by: Kaplanoglou, Pantelis I., et al.
Published: (2024)
Discovering influential text using convolutional neural networks
by: Ayers, Megan, et al.
Published: (2024)
by: Ayers, Megan, et al.
Published: (2024)
sHGCN: Simplified hyperbolic graph convolutional neural networks
by: Arévalo, Pol, et al.
Published: (2025)
by: Arévalo, Pol, et al.
Published: (2025)
One-step learning algorithm selection for classification via convolutional neural networks
by: Maldonado, Sebastian, et al.
Published: (2023)
by: Maldonado, Sebastian, et al.
Published: (2023)
Detection of retinal diseases using an accelerated reused convolutional network
by: Kasani, Amin Ahmadi, et al.
Published: (2025)
by: Kasani, Amin Ahmadi, et al.
Published: (2025)
Intrinsic training dynamics of deep neural networks
by: Marcotte, Sibylle, et al.
Published: (2025)
by: Marcotte, Sibylle, et al.
Published: (2025)
Towards generalizable deep ptychography neural networks
by: Vong, Albert, et al.
Published: (2025)
by: Vong, Albert, et al.
Published: (2025)
Deep encoder-decoder hierarchical convolutional neural networks for conjugate heat transfer surrogate modeling
by: Ebbs-Picken, Takiah, et al.
Published: (2023)
by: Ebbs-Picken, Takiah, et al.
Published: (2023)
An axiomatized PDE model of deep neural networks
by: Wang, Tangjun, et al.
Published: (2023)
by: Wang, Tangjun, et al.
Published: (2023)
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data
by: Loni, Mohammad, et al.
Published: (2024)
by: Loni, Mohammad, et al.
Published: (2024)
Photonic convolutional neural network with pre-trained in-situ training
by: Ranjan, Saurabh, et al.
Published: (2026)
by: Ranjan, Saurabh, et al.
Published: (2026)
Beyond topography: Topographic regularization improves robustness and reshapes representations in convolutional neural networks
by: Truong, Nhut, et al.
Published: (2025)
by: Truong, Nhut, et al.
Published: (2025)
Estimating the stability number of a random graph using convolutional neural networks
by: Davila, Randy
Published: (2024)
by: Davila, Randy
Published: (2024)
An in-depth look at approximation via deep and narrow neural networks
by: Dommel, Joris, et al.
Published: (2025)
by: Dommel, Joris, et al.
Published: (2025)
Similar Items
-
Numerical Simulation of Wavy-Flap Airfoil Performance at Low Reynolds Number: Insights from Lift and Drag Coefficient Analysis
by: Esabat, Mohammad Amin, et al.
Published: (2025) -
Infinite-channel deep stable convolutional neural networks
by: Bracale, Daniele, et al.
Published: (2021) -
On the VC dimension of deep group convolutional neural networks
by: Sepliarskaia, Anna, et al.
Published: (2024) -
On the dynamics of convolutional recurrent neural networks near their critical point
by: Chandra, Aditi, et al.
Published: (2024) -
Symplectic convolutional neural networks
by: Yıldız, Süleyman, et al.
Published: (2025)