Institution
Data Storage Institute
Facility•Singapore, Singapore•
About: Data Storage Institute is a facility organization based out in Singapore, Singapore. It is known for research contribution in the topics: Laser & Thin film. The organization has 1384 authors who have published 1709 publications receiving 24735 citations.
Topics: Laser, Thin film, Coercivity, Flying height, Servomechanism
Papers published on a yearly basis
Papers
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TL;DR: The results suggest that the doping-induced structural and size transition, demonstrated here in NaYF4 upconversion nanocrystals, could be extended to other lanthanide-doped nanocrystal systems for applications ranging from luminescent biological labels to volumetric three-dimensional displays.
Abstract: Doping is a widely applied technological process in materials science that involves incorporating atoms or ions of appropriate elements into host lattices to yield hybrid materials with desirable properties and functions. For nanocrystalline materials, doping is of fundamental importance in stabilizing a specific crystallographic phase, modifying electronic properties, modulating magnetism as well as tuning emission properties. Here we describe a material system in which doping influences the growth process to give simultaneous control over the crystallographic phase, size and optical emission properties of the resulting nanocrystals. We show that NaYF(4) nanocrystals can be rationally tuned in size (down to ten nanometres), phase (cubic or hexagonal) and upconversion emission colour (green to blue) through use of trivalent lanthanide dopant ions introduced at precisely defined concentrations. We use first-principles calculations to confirm that the influence of lanthanide doping on crystal phase and size arises from a strong dependence on the size and dipole polarizability of the substitutional dopant ion. Our results suggest that the doping-induced structural and size transition, demonstrated here in NaYF(4) upconversion nanocrystals, could be extended to other lanthanide-doped nanocrystal systems for applications ranging from luminescent biological labels to volumetric three-dimensional displays.
2,835 citations
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TL;DR: It is shown that directivity of the far-field radiation pattern of single silicon spheres can be strongly dependent on the light wavelength and the nanoparticle size.
Abstract: Directional light scattering by spherical silicon nanoparticles in the visible spectral range is experimentally demonstrated for the first time. These unique optical properties arise because of simultaneous excitation and mutual interference of magnetic and electric dipole resonances inside a single nanosphere. Such behaviour is similar to Kerker's-type scattering by hypothetic magneto-dielectric particles predicted theoretically three decades ago. Here we show that directivity of the far-field radiation pattern of single silicon spheres can be strongly dependent on the light wavelength and the nanoparticle size. For nanoparticles with sizes ranging from 100 to 200 nm, forward-to-backward scattering ratio above six can be experimentally obtained, making them similar to 'Huygens' sources. Unique optical properties of silicon nanoparticles make them promising for design of novel low-loss visible- and telecom-range metamaterials and nanoantenna devices.
1,006 citations
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TL;DR: It is demonstrated experimentally that dielectric nanoparticles can exhibit a radiationless anapole mode in visible, and the spectral overlap of the toroidal and electric dipole modes is achieved through a geometry tuning.
Abstract: The work of A.E.M. was supported by the Australian Research Council via Future
Fellowship program (FT110100037). The authors at DSI were supported by DSI core
funds. Fabrication, Scanning Electron Microscope Imaging and NSOM works were
carried out in facilities provided by SnFPC@DSI (SERC Grant 092 160 0139). Zhen Ying
Pan (DSI) is acknowledged for SEM imaging. Yi Zhou (DSI) is acknowledged for silicon
film growth. Leonard Gonzaga (DSI), Yeow Teck Toh (DSI) and Doris Ng (DSI) are
acknowledged for development of the silicon nanofabrication procedure. B.N.C.
acknowledges support from the Government of Russian Federation, Megagrant No.
14.B25.31.0019.
685 citations
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TL;DR: This work presents a tunable RT skyrmion platform based on multilayer stacks of Ir/Fe/Co/Pt, which is established a platform for investigating functional sub-50-nm RTskyrmions, pointing towards the development of skyrMion-based memory devices.
Abstract: Magnetic skyrmions are nanoscale topological spin structures offering great promise for next-generation information storage technologies. The recent discovery of sub-100-nm room-temperature (RT) skyrmions in several multilayer films has triggered vigorous efforts to modulate their physical properties for their use in devices. Here we present a tunable RT skyrmion platform based on multilayer stacks of Ir/Fe/Co/Pt, which we study using X-ray microscopy, magnetic force microscopy and Hall transport techniques. By varying the ferromagnetic layer composition, we can tailor the magnetic interactions governing skyrmion properties, thereby tuning their thermodynamic stability parameter by an order of magnitude. The skyrmions exhibit a smooth crossover between isolated (metastable) and disordered lattice configurations across samples, while their size and density can be tuned by factors of two and ten, respectively. We thus establish a platform for investigating functional sub-50-nm RT skyrmions, pointing towards the development of skyrmion-based memory devices.
641 citations
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03 May 2010TL;DR: DAvinCi, a software framework that provides the scalability and parallelism advantages of cloud computing for service robots in large environments, is proposed and the possibilities of parallelizing some of the robotics algorithms as Map/Reduce tasks in Hadoop are explored.
Abstract: We propose DAvinCi, a software framework that provides the scalability and parallelism advantages of cloud computing for service robots in large environments. We have implemented such a system around the Hadoop cluster with ROS (Robotic Operating system) as the messaging framework for our robotic ecosystem. We explore the possibilities of parallelizing some of the robotics algorithms as Map/Reduce tasks in Hadoop. We implemented the FastSLAM algorithm in Map/Reduce and show how significant performance gains in execution times to build a map of a large area can be achieved with even a very small eight-node Hadoop cluster. The global map can later be shared with other robots introduced in the environment via a Software as a Service (SaaS) Model. This reduces the burden of exploration and map building for the new robot and minimizes it's need for additional sensors. Our primary goal is to develop a cloud computing environment which provides a compute cluster built with commodity hardware exposing a suite of robotic algorithms as a SaaS and share data co-operatively across the robotic ecosystem.
366 citations
Authors
Showing all 1387 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Yang | 143 | 2456 | 92268 |
Bin Liu | 138 | 2181 | 87085 |
Shuzhi Sam Ge | 97 | 883 | 40865 |
Lihua Xie | 90 | 1056 | 35823 |
Jian-Ping Wang | 87 | 917 | 39761 |
Tao Chen | 86 | 820 | 27714 |
Yong Zhou | 84 | 688 | 29569 |
Tianxi Liu | 81 | 411 | 21036 |
Minghui Hong | 68 | 502 | 19083 |
Beng Kang Tay | 65 | 532 | 20412 |
Yong Lei | 63 | 261 | 13721 |
Boris Luk'yanchuk | 56 | 244 | 17477 |
Yongfeng Lu | 56 | 809 | 14052 |
Hao Gong | 55 | 365 | 14387 |
Yuan Lin | 51 | 466 | 11440 |