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People > Luca Daniel >
Selected Publications
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Luca Daniel
Emanuel E. Landsman Associate Professor of Electrical Enginering
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SELECTED PUBLICATIONS
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L. Daniel, C. R. Sullivan, S. R. Sanders. “Design of Microfabricated Inductors”, IEEE Transactions on Power Electronics, vol. 14, no. 4, p. 709-23, July 1999. (Power Electronic Society Award for Best Journal Paper in the year 1999).
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L. Daniel, C. S. Ong, S. C. Low, K. H. Lee, J. White, "A Multiparameter Moment Matching Model Reduction Approach for Generating Geometrically Parameterized Interconnect Performance Models", IEEE Transaction on Computer Aided Design of Integrated Circuits and Systems, vol. 23, no. 5, p. 678-93, May 2004.
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T. Moselhy and L. Daniel, "Stochastic Integral Equation Solver for Efficient Variation Aware Interconnect Extraction", IEEE/ACM Design Automation Conference, Anaheim, CA, p. 415-20, June 2008. (Prepublication journal version available upon request to luca@mit.edu)
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B. Bond and L. Daniel, "Guaranteed Stable Projection-Based Model Reduction for Indefinite and Unstable Linear Systems" Proceedings of the IEEE Conference on Computer-Aided Design, San Jose, p. 728-35, November 2008. (IEEE/ACM William J. McCalla ICCAD Best Paper Award).
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T. Moselhy, I. M. Elfadel, and L. Daniel, "A Capacitance Solver for Incremental Variation-Aware Extraction", Proceedings of the IEEE Conference on Computer-Aided Design, San Jose, p. 662-9, November 2008. (Prepublication journal version available upon request to luca@mit.edu)
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B. Bond, L. Daniel, "Stable Reduced Models for Nonlinear Descriptor Systems Through Piecewise-Linear Approximation and Projection", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 28, no. 10, p. 1467-1480, October 2009.
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More Publications…
Public Domain Open Source Software:
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FastMaxwell, an open-source, full-wave, 3D, electromagnetic solver for efficient extraction of interconnect structures above a substrate. The code is accelerated via the efficient discrete complex image method, efficient full-wave integration routines and an iterative precorrected fast Fourier transform matrix vector product. The code has been tested on a variety of large scale (up to 300,000 unknowns) structures.
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Squid (stable quasiconvex identification), an open-source matlab tool for the generation of reduced order linear system models from available transfer function data points. The tool is based on a quasi-convex relaxation of a system identification problem subject to stability and passivity constraints.
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Stins (stable identification of nonlinear systems) is a public domain open source compact modeling code for nonlinear analog circuit blocks such as low noise amplifiers, mixers, or power amplifiers, based on system identification with stability guarantees. (username and password access available upon request to luca@mit.edu)
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