作者:
Mi, Bao XiuGao, Zhi QiangCheah, Kok WaiChen, Chin H.
Jiangsu Engineering Center for Flat-Panel Displays and Solid-State Lighting Nanjing University of Posts and Telecommunications JiangSu 210046 China Department of Physics
Centre for Advanced Luminescence Materials Hong Kong Baptist University Hong Kong Hong Kong Display Institute
Microelectronics and Information Systems Research Center National Chiao Tung University Hsinchu 300 Taiwan
We demonstrate that 3,6-difluoro-2,5,7,7,8,8-hexacyanoquinodimethane (F2-HCNQ) can serve as an excellent electrical doping material for hole transport materials with the highest occupied molecular orbital level as hig...
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We report various all-optical signal processing functions using silicon microring resonators with a 450250-nm cross section. These demonstrations include slow-light delay of phase-modulated data and microwave photonic...
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ISBN:
(纸本)9781424429059
We report various all-optical signal processing functions using silicon microring resonators with a 450250-nm cross section. These demonstrations include slow-light delay of phase-modulated data and microwave photonic signal, wavelength conversion/multicasting, format conversions, and optical differentiation.
In this work, we have analyzed, fabricated and demonstrated concentric micro-ring resonators in silicon-on-insulator (SOI) structure for enhanced transmission notches. The operation principles of the concentric ring r...
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We propose and experimentally demonstrate all optical format conversion from non-return-to-zero (NRZ) format to frequency-shift-keying (FSK) format based on free carrier dispersion effect in a silicon mode-split micro...
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Fast analysis of power grid networks has been a challenging problem for many years. The huge size renders circuit simulation inefficient and the large number of inputs further limits the application of existing Krylov...
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ISBN:
(纸本)9781424428205
Fast analysis of power grid networks has been a challenging problem for many years. The huge size renders circuit simulation inefficient and the large number of inputs further limits the application of existing Krylov-subspace macromodeling algorithms. However, strong locality has been observed that two nodes geometrically far have very small electrical impact on each other because of the exponential attenuation. However, no systematic approaches have been proposed to exploit such locality. In this paper, we propose a novel modeling and simulation scheme, which can automatically identify the dominant inputs for a given observed node in a power grid network. This enables us to build extremely compact models by projecting the system onto the locally dominant Krylov subspace corresponding to those dominant inputs only. The resulting simulation can be very fast with the compact models if we only need to view the responses of a few nodes under many different inputs. Experimental results show that the proposed method can have at least 100X speedup over SPICE-like simulations on a number of large power grid networks up to 1M nodes.
We report various all-optical signal processing functions using silicon microring resonators with a 450times250-nm cross section. These demonstrations include slow-light delay of phase-modulated data and microwave pho...
详细信息
We report various all-optical signal processing functions using silicon microring resonators with a 450times250-nm cross section. These demonstrations include slow-light delay of phase-modulated data and microwave photonic signal, wavelength conversion/multicasting, format conversions, and optical differentiation.
We propose a label-free biosensor based on concentric micro-ring resonators in silicon on insulator (SOI). The concentric micro-ring resonators offer another freedom to obtain deeper notches for higher detection sensi...
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ISBN:
(纸本)9781424429059
We propose a label-free biosensor based on concentric micro-ring resonators in silicon on insulator (SOI). The concentric micro-ring resonators offer another freedom to obtain deeper notches for higher detection sensitivity. The expanded modes also provide larger sensing area. A resonant frequency shift of ∼1.37 nm is demonstrated, by numerical simulations, between the situation of using a single strand DNA and a double strand DNA.
We demonstrate a microwave-photonic phase shifter based on a 20-mum-radius silicon micro-ring resonator, providing a tunable phase shift for a 20-GHz signal in a range of 0 - -4.6 rad.
We demonstrate a microwave-photonic phase shifter based on a 20-mum-radius silicon micro-ring resonator, providing a tunable phase shift for a 20-GHz signal in a range of 0 - -4.6 rad.
All-optical tunable delay, dense wavelength conversion, and non return-to-zero (NRZ) to alternate-mark-inversion (AMI) format conversion are experimentally demonstrated using silicon microrings with a 450 times 250 nm...
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All-optical tunable delay, dense wavelength conversion, and non return-to-zero (NRZ) to alternate-mark-inversion (AMI) format conversion are experimentally demonstrated using silicon microrings with a 450 times 250 nm cross-section size.
Fast analysis of power grid networks has been a challenging problem for many years. The huge size renders circuit simulation inefficient and the large number of inputs further limits the application of existing Krylov...
详细信息
ISBN:
(纸本)9781424428205
Fast analysis of power grid networks has been a challenging problem for many years. The huge size renders circuit simulation inefficient and the large number of inputs further limits the application of existing Krylov-subspace macromodeling algorithms. However, strong locality has been observed that two nodes geometrically far have very small electrical impact on each other because of the exponential attenuation. However, no systematic approaches have been proposed to exploit such locality. In this paper, we propose a novel modeling and simulation scheme, which can automatically identify the dominant inputs for a given observed node in a power grid network. This enables us to build extremely compact models by projecting the system onto the locally dominant Krylov subspace corresponding to those dominant inputs only. The resulting simulation can be very fast with the compact models if we only need to view the responses of a few nodes under many different inputs. Experimental results show that the proposed method can have at least 100X speedup over SPICE-like simulations on a number of large power grid networks up to 1 M nodes.
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