School of Mechanical and Aerospace Engineering (MAE)

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1 to 10 of 1,259 Results

WANG Dayi(Nanyang Technological University) Oct 14, 2025 Appointment: PhD student
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, ChangQuan, 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"
Data used for graphs.tab Jul 18, 2025 - Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections Tabular Data - 63.6 KB - 51 Variables, 134 Observations - UNF:6:wq185qidPASCbbJ8kQ9OBg==
Expt ss curves.tab Jul 18, 2025 - Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections Tabular Data - 572.1 KB - 17 Variables, 4526 Observations - UNF:6:b0VKQq9bxzKGzoRD8oU5hw==
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 Appointment: Assistant Professor 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...
singleAirfoil_Re500_aoa0_JZfixed.pickle Jun 11, 2025 - Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields Unknown - 7.8 GB - MD5: c2b4fb160d50a630fce63b721b314f50 DataOpenFOAMRaw single NACA airfoil flow fields for constant flow conditions of Re=500 and AOA=0 degrees via RANS
singleAirfoil_Re500_aoa5_JZfixed.pickle Jun 11, 2025 - Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields Unknown - 7.8 GB - MD5: e82371c6ced9970848359f361c73d611 DataOpenFOAMRaw single NACA airfoil flow fields for constant flow conditions of Re=500 and AOA=5 degrees via RANS
single_randomFields.pickle Jun 11, 2025 - Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields Unknown - 7.1 GB - MD5: 2a2250a06818457e01ed7b596ad76837 DataOpenFOAMRaw single NACA airfoil flow fields for random flow conditions via RANS

WANG Dayi(Nanyang Technological University)

Oct 14, 2025

Appointment: PhD student

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, ChangQuan, 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"

Data used for graphs.tab

Jul 18, 2025 - Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections

Tabular Data - 63.6 KB - 51 Variables, 134 Observations -

Expt ss curves.tab

Jul 18, 2025 - Data used for: Extremely stiff and lightweight auxetic metamaterial designs enabled by asymmetric strut cross-sections

Tabular Data - 572.1 KB - 17 Variables, 4526 Observations -

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

Appointment: Assistant Professor 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...

singleAirfoil_Re500_aoa0_JZfixed.pickle

Jun 11, 2025 - Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields

Unknown - 7.8 GB -

DataOpenFOAMRaw

single NACA airfoil flow fields for constant flow conditions of Re=500 and AOA=0 degrees via RANS

singleAirfoil_Re500_aoa5_JZfixed.pickle

Jun 11, 2025 - Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields

Unknown - 7.8 GB -

DataOpenFOAMRaw

single NACA airfoil flow fields for constant flow conditions of Re=500 and AOA=5 degrees via RANS

single_randomFields.pickle

Jun 11, 2025 - Related Data for: Accelerating Fluid Simulations with Graph Convolution Network Predicted Flow Fields

Unknown - 7.1 GB -

DataOpenFOAMRaw

single NACA airfoil flow fields for random flow conditions via RANS

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