School of Mechanical and Aerospace Engineering (MAE)

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1 to 10 of 85 Results

RF-MatID Frequency-domain Dataset Apr 15, 2026 - YANG Jianfei Chen, Xinyan, 2026, "RF-MatID Frequency-domain Dataset", https://doi.org/10.21979/N9/YLDFJM, DR-NTU (Data), V1 We introduce RF-MatID, a comprehensive dataset and benchmark designed to bridge the gap in robust material identification. RF-MatID is the largest and most diverse dataset of its kind, featuring: - 16 fine-grained categories derived from 5 superclasses (e.g., Plastic, Metal, Wood...
RF-MatID Time-domain Dataset Apr 15, 2026 - YANG Jianfei Chen, Xinyan, 2026, "RF-MatID Time-domain Dataset", https://doi.org/10.21979/N9/ZJ50DD, DR-NTU (Data), V1 We introduce RF-MatID, a comprehensive dataset and benchmark designed to bridge the gap in robust material identification. RF-MatID is the largest and most diverse dataset of its kind, featuring: - 16 fine-grained categories derived from 5 superclasses (e.g., Plastic, Metal, Wood...
YANG Jianfei(Nanyang Technological University) Apr 15, 2026 This dataverse for the projects and datasets published by MARS Lab.
TandemFoilSet: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils Feb 25, 2026 - Airfoils Datasets For Deep Learning (AI4Science) Lim, Wei Xian; Chan, Wai Lee; Kong, Wai-Kin Adams; Jessica, Loh Sher En, 2026, "TandemFoilSet: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils", https://doi.org/10.21979/N9/KTXSCU, DR-NTU (Data), V1 Accurate simulation of flow fields around tandem geometries is critical for engineering design but remains computationally intensive. Existing machine learning approaches typically focus on simpler cases and lack evaluation on multi-body configurations. To support research in thi...
WANG Dayi(Nanyang Technological University) Oct 14, 2025
Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections Jul 18, 2025 - Cost-Effective and Versatile Method of Additively Manufacturing 3D Metal Structures Seetoh, Peiyuan Ian; Lai, Chang Quan, 2025, "Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections", https://doi.org/10.21979/N9/DSILXC, DR-NTU (Data), V1, UNF:6:/XPpccthazACMum1Ub6yMQ== [fileUNF] Data used in the journal publication "Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections"
Cost-Effective and Versatile Method of Additively Manufacturing 3D Metal Structures(Nanyang Technological University) Jul 18, 2025LAI Changquan
LAI Changquan(Nanyang Technological University) Jul 17, 2025 Research topics: • Cellular Solids • Structural Materials • Additive Manufacturing • Mechanics of Materials • Interfacial Science and Engineering • Nanoscale Engineering • Biomedical Engineering
Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields Jun 11, 2025 - Airfoils Datasets For Deep Learning (AI4Science) Lim, Wei Xian; Chan, Wai Lee, 2025, "Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields", https://doi.org/10.21979/N9/9OYSTD, DR-NTU (Data), V1 The field of computational fluid dynamics (CFD) is integral to engineering disciplines, particularly for designing systems that operate under complex fluid flow conditions. Accurate simulation of flow fields is essential for optimizing performance across a variety of applications...
Airfoils Datasets For Deep Learning (AI4Science)(Nanyang Technological University) Jun 11, 2025CHAN Wai Lee Simulation results of various NACA airfoil shapes and flow conditions for ML training.

RF-MatID Frequency-domain Dataset

Apr 15, 2026 - YANG Jianfei

Chen, Xinyan, 2026, "RF-MatID Frequency-domain Dataset", https://doi.org/10.21979/N9/YLDFJM, DR-NTU (Data), V1

We introduce RF-MatID, a comprehensive dataset and benchmark designed to bridge the gap in robust material identification. RF-MatID is the largest and most diverse dataset of its kind, featuring: - 16 fine-grained categories derived from 5 superclasses (e.g., Plastic, Metal, Wood...

RF-MatID Time-domain Dataset

Apr 15, 2026 - YANG Jianfei

Chen, Xinyan, 2026, "RF-MatID Time-domain Dataset", https://doi.org/10.21979/N9/ZJ50DD, DR-NTU (Data), V1

YANG Jianfei(Nanyang Technological University)

Apr 15, 2026

This dataverse for the projects and datasets published by MARS Lab.

TandemFoilSet: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils

Feb 25, 2026 - Airfoils Datasets For Deep Learning (AI4Science)

Lim, Wei Xian; Chan, Wai Lee; Kong, Wai-Kin Adams; Jessica, Loh Sher En, 2026, "TandemFoilSet: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils", https://doi.org/10.21979/N9/KTXSCU, DR-NTU (Data), V1

Accurate simulation of flow fields around tandem geometries is critical for engineering design but remains computationally intensive. Existing machine learning approaches typically focus on simpler cases and lack evaluation on multi-body configurations. To support research in thi...

WANG Dayi(Nanyang Technological University)

Oct 14, 2025

Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections

Jul 18, 2025 - Cost-Effective and Versatile Method of Additively Manufacturing 3D Metal Structures

Seetoh, Peiyuan Ian; Lai, Chang Quan, 2025, "Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections", https://doi.org/10.21979/N9/DSILXC, DR-NTU (Data), V1, UNF:6:/XPpccthazACMum1Ub6yMQ== [fileUNF]

Data used in the journal publication "Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections"

Cost-Effective and Versatile Method of Additively Manufacturing 3D Metal Structures(Nanyang Technological University)

Jul 18, 2025LAI Changquan

LAI Changquan(Nanyang Technological University)

Jul 17, 2025

Research topics: • Cellular Solids • Structural Materials • Additive Manufacturing • Mechanics of Materials • Interfacial Science and Engineering • Nanoscale Engineering • Biomedical Engineering

Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields

Jun 11, 2025 - Airfoils Datasets For Deep Learning (AI4Science)

Lim, Wei Xian; Chan, Wai Lee, 2025, "Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields", https://doi.org/10.21979/N9/9OYSTD, DR-NTU (Data), V1

The field of computational fluid dynamics (CFD) is integral to engineering disciplines, particularly for designing systems that operate under complex fluid flow conditions. Accurate simulation of flow fields is essential for optimizing performance across a variety of applications...

Airfoils Datasets For Deep Learning (AI4Science)(Nanyang Technological University)

Jun 11, 2025CHAN Wai Lee

Simulation results of various NACA airfoil shapes and flow conditions for ML training.

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