VLSI wiring capacitance

Cottrell, P.E.; Buturla, E. M.

doi:10.1147/rd.293.0277

Cited by 64 publications

(7 citation statements)

References 15 publications

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“…For a generic wire, the strongest coupling occurs with the two closest neighbors. The capacitance model between wires (that is usually called C m ) is typically obtained in VLSI by solving Green's function with a multipole expansion (as in the FastCap software [27]), by using a finite difference method to solve the Poisson equation (1Poisson [40]), or by using finite elements (FIERCE [7]). Since this work is the first one addressing this problem, we make the simplifying assumption that the value of the capacitance is obtained from the simple plane capacitor formula…”

Section: Capacitive Coupling With the Neighboring Wiresmentioning

confidence: 99%

On the design of reversible QDCA systems.

DeBenedictis¹,

Frank

Ottavi³

et al. 2006

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This work is the first to describe how to go about designing a reversible QDCA system. The design space is substantial, and there are many questions that a designer needs to answer before beginning to design. This document begins to explicate the tradeoffs and assumptions that need to be made and offers a range of approaches as starting points and examples. This design guide is an effective tool for aiding designers in creating the best quality QDCA implementation for a system. 3

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Section: Capacitive Coupling With the Neighboring Wiresmentioning

confidence: 99%

On the design of reversible QDCA systems.

DeBenedictis¹,

Frank

Ottavi³

et al. 2006

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“…Earlier, simplified analytical models were used to estimate interconnect capacitances, which could not meet the level of accuracy required by the present VLSI technology. [2] With the advent of numerical interconnect simulator, another approach based on simulation and extraction of interconnect capacitance was proposed to overcome this difficulty. [3] However, an accurate interconnect modeling system which aims at the enhancement of design efficiency should be integrated with the existing design methodology.…”

Section: Introductionmentioning

confidence: 99%

Integrated interconnect circuit modeling for VLSI design

Jung

Cha

Kim

et al. 1995

Proceedings of the 1995 Conference on Asia Pacific Design Automation (CD-ROM) - ASP-DAC '95

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-An integrated interconnect modeling system, SIMS, is developed with the parametrized modeling of interconnect and the interface with a schematic capture and editor. SIMS automatically drives numerical interconnect simualtion as directed by technology engineers, creates polynomial model library for interconnect parasitics, generates netlist including SPICE model for the interconnect structure specified by circuit designers, automatically drives circuit simulations and display the simulation results through advanced GUI.. VLSI design with SIMS makes it possible to consider parasitic effects fast and accurately, which becomes more important in deep submicron circuit design area. With this capability, circuit design with optimized interconnect layout can be easily achieved. Ultimately the integrated system helps to reduce the cost of technology development and the time-to-market by building up the concept of design-formanufacturability.

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“…In this context, the quasi-static approximation, in which the electric field is expressed through the scalar potential, can be employed since the dimensions of the system of under study are much smaller than the light wavelength. The governing equation on this model is Poisson equation which has been studied and solved using a variety of techniques including finite-difference methods (FDM), 42,43 FEM,44,45 and BEM. 46 Among these methods, BEM can be more robust in terms of computational effort allowing the problem to be solved for smaller number of degrees of freedom.…”

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confidence: 99%

A quasi-static continuum model describing interactions between plasmons and non-absorbing biomolecules

Salary

Mosallaei

2015

Journal of Applied Physics

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Interactions between the plasmons of noble metal nanoparticles and non-absorbing biomolecules forms the basis of the plasmonic sensors, which have received much attention. Studying these interactions can help to exploit the full potentials of plasmonic sensors in quantification and analysis of biomolecules. Here, a quasi-static continuum model is adopted for this purpose. We present a boundary-element method for computing the optical response of plasmonic particles to the molecular binding events by solving the Poisson equation. The model represents biomolecules with their molecular surfaces, thus accurately accounting for the influence of exact binding conformations as well as structural differences between different proteins on the response of plasmonic nanoparticles. The linear systems arising in the method are solved iteratively with Krylov generalized minimum residual algorithm, and the acceleration is achieved by applying precorrected-Fast Fourier Transformation technique. We apply the developed method to investigate interactions of biotinylated gold nanoparticles (nanosphere and nanorod) with four different types of biotin-binding proteins. The interactions are studied at both ensemble and single-molecule level. Computational results demonstrate the ability of presented model for analyzing realistic nanoparticle-biomolecule configurations. The method can provide comprehensive study for wide variety of applications, including protein structures, monitoring structural and conformational transitions, and quantification of protein concentrations. In addition, it is suitable for design and optimization of the nano-plasmonic sensors.

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VLSI wiring capacitance

Cited by 64 publications

References 15 publications

On the design of reversible QDCA systems.

On the design of reversible QDCA systems.

Integrated interconnect circuit modeling for VLSI design

A quasi-static continuum model describing interactions between plasmons and non-absorbing biomolecules

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