DR-NTU (Data) (Nanyang Technological University)
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Related Data for: Observation of Collective Responses in a Lumped Electronic Device
No full textThis dataset contains MATLAB code used to generate key simulation results for the Physics Review Letters manuscript on electronic metadevices. Specifically, the scripts calculate and plot the normalized contact resistance (Rc) as a function of (1) the number of stripes (N) for different stripe lengths, and (2) stripe length (L) for different values of N. The code performs theoretical calculations using finite element method (FEM)
Replication Data for: Nonlinear Superconducting Magnetoelectric Effect
No full textData files for "Nonlinear Superconducting Magnetoelectric Effect
Replication Data for: Electrically Tunable On-Chip Topological Photonics with Integrated Carbon Nanotubes
No full textThis dataset contains all the data used in the paper, titled 'Electrically Tunable On-Chip Topological Photonics with Integrated Carbon Nanotubes'
Replication data for: Microbial ecology of the naturalized streams of Sembawang hot spring, Singapore
No full textThis dataset comprises a database of microbiomes from the Sembawang hot spring, including raw sequencing data (amplicon and metagenomics), fluorescence in situ hybridization (FISH) images and associated codes used in the thesis to ensure reproducibility of the researc
Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows
No full textTRPIV of indeterminate-origin (IO) jets at Re=5000, performed in SJTU
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
No full text3D content creation has achieved significant progress in terms of both quality and speed. Although current feed-forward models can produce 3D objects in seconds, their resolution is constrained by the intensive computation required during training. In this paper, we introduce Large Multi-view Gaussian Model (LGM), a novel framework designed to generate high-resolution 3D models from text prompts or single-view images. Our key insights are two-fold: (1) 3D Representation: We propose multi-view Gaussian features as an efficient yet powerful representation, which can then be fused together for differentiable rendering. (2) 3D Backbone: We present an asymmetric U-Net as a high-throughput backbone operating on multi-view images, which can be produced from text or single-view image input by leveraging multi-view diffusion models. Extensive experiments demonstrate the high fidelity and efficiency of our approach. Notably, we maintain the fast speed to generate 3D objects within 5 seconds while boosting the training resolution to 512, thereby achieving high-resolution 3D content generation
Final Data for: Spin-Valley Locking for In-Gap Quantum Dots in a MoS2 Transistor
No full textFinal Data for: "Spin-Valley Locking for In-Gap Quantum Dots in a MoS2 Transistor
Turtle Museum Interview
No full textOral history interviews with Connie Tan were conducted over a period of five months (March – July 2017), and the interview transcripts will be archived at Nanyang Technological University Library at the completion of our project.
The video shown here reflects footage taken on June 28th, 2017 of Connie Tan and her teenage son, Jedd, after completion of the oral history interview process. Significant past events, stories and memories gleaned through the original interview transcripts are presented through this video in order to introduce the audience to the Singapore Live Turtle and Tortoise Museum and provide a preview of the research findings and stories made accessible through oral history. The short film introduces the history of the museum, Connie’s love for the turtles, and how closely the two are intertwined to her and her father’s lives. The film also depicts Connie highlighting some heart-wrenching moments over the past several years while at the museum as well as sharing some of her future plans. The students who worked on this project hoped that this video can help raise awareness about the existence and initiatives of the turtle museum
Replication Data for: Poroelestic effects on rupture propagation across fault stepovers
No full textThis folder contains the scripts and model outputs necessary to reproduce the figures from our paper. All figures were created using MATLAB. Please ensure that your computer has MATLAB installed. To generate each figure, navigate to the corresponding subfolder and run the MATLAB ".m" file with the same name as the subfolder. The scripts will read the model outputs and generate the corresponding plots
