DR-NTU (Data) (Nanyang Technological University)
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Replication Data for: Perovskite quantum dot one-dimensional topological laser
No full textData for: Perovskite quantum dot one-dimensional topological lase
Related Data for: Substrate Engineering for CVD Growth of Single Crystal Graphene
No full textSingle crystal graphene (SCG) has attracted enormous attention for their unique potential to next-generation high-performance optoelectronics. In the absence of grain boundaries, SCG preserves the exceptional intrinsic properties of graphene. Currently, chemical vapor deposition (CVD) has been recognized as an effective method for the large-scale synthesis of graphene film. But polycrystalline films are usually obtained and the present grain boundaries compromise the carrier mobility, thermal conductivity, optical properties, and mechanical properties. The scalable and controllable synthesis of SCG is challenging. Recently, much attention has been attracted on the engineering of large-size single crystal substrates for the epitaxial CVD growth of large-area and high-quality SCG film. In this article, we provide a comprehensive and comparative review on the selection and preparation of various single crystal substrates for CVD growth of SCG under different conditions. The growth mechanisms, current challenges, and future development and perspectives are discussed
DEMs for Experiment 2
No full textDigital elevation models (DEMs) for Experiment 2 (linearly decreasing ejection volume, constant viscosity
Fracture mechanisms of high-entropy alloys
No full textThis is the research data for the fracture mechanisms of high-entropy alloys
Replication Data for: Entanglement in Smart Hydrogels: Fast Response Time, Anti-Freezing and Anti-Drying
No full textThe common techniques to improve hydrogel’s mechanical properties include increasing crosslinking density and forming crosslinked double network hydrogel, which may cause some hydrogels to lose their smart functionalities. Inspired by entanglement-induced strengthening, a simple approach to introducing hydroxypropyl cellulose (HPC) fibers entangled with different smart hydrogel matrix systems are reported. Different from the conventional methods which hinder the movement of the polymer network, through entanglement with HPC fibers, the composite hydrogel shows both improved Young’s modulus and toughness and more importantly improved smart functionalities including response speed, anti-drying, and anti-freezing capabilities and cycle stability. This strategy provides a new design rule to fabricate durable and strengthened smart hydrogels which can be used in smart windows, sensors, and soft robots
Clock gene expression in the zebrafish habenula
No full textQuantitative clock gene expression by qHC
Related data for: Contention-aware Routing for Thermal-Reliable Optical Networks-on-Chip
No full textJournal paper: Mengquan Li, Weichen Liu, Luan H.K. Duong, Peng Chen, and Lei Yang, “Contention-aware Routing for Thermal-Reliable Optical Networks-on-Chip”, accepted in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 202
Related data for: TECS2019-Hardware-Software Collaborative Thermal Sensing in Optical Network-on-Chip Based Manycore Systems
No full textContinuous technology scaling in manycore systems leads to severe overheating issues. To guarantee system reliability, it is critical to accurately yet efficiently monitor runtime temperature distribution for effective chip thermal management. As an emerging communication architecture for new-generation manycore systems, optical network-on-chip (ONoC) satisfies the communication bandwidth and latency requirements with low power dissipation. Moreover, observation shows that it can be leveraged for runtime thermal sensing. In this article, we propose a brand-new on-chip thermal sensing approach for ONoC-based manycore systems by utilizing the intrinsic thermal sensitivity of optical devices and the inter-processor communications in ONoCs. It requires no extra hardware but utilizes existing optical devices in ONoCs and combines them with lightweight software computation in a hardware-software collaborative manner. The effectiveness of the our approach is validated both at the device level and the system level through professional photonic simulations. Evaluation results based on synthetic communication traces and realistic benchmarks show that our approach achieves an average temperature inaccuracy of only 0.6648 K compared to ground-truth values and is scalable to be applied for large-size ONoCs
LiDAR performance against automotive paint panels
No full textThis dataset contains LiDAR (Light Detection and Ranging) sensor return intensities of the Velodyne VLS-128 LiDAR sensor against various automotive paint panels. The panels have been tested at different angles and distances. The LiDAR sensor was tested at a constant rotation speed of 540 rpm and the return intensity values are on a scale of 0 to 255.
The automotive paints were selected based on common colours seen on Singapore's roads. The paint descriptions have been provided for each data file.
The sensor was set up on a testing rig at a constant height in a controlled dry environment. The paint panels were tested without any surface impurities in a dry environment
