Extended Statistical Element Selection: A Calibration Method for High Resolution in Analog/RF Designs

R. Liu, J. Weldon and L. Pileggi, “Extended Statistical Element Selection: A Calibration Method for High Resolution in Analog/RF Designs”, Design Automation Conference (DAC 2016), June 2016.

Improving Robustness and Modeling Generality for Power Flow Analysis

M. Jereminov, D. Bromberg, X. Li, G. Hug and L. Pileggi, “Improving Robustness and Modeling Generality for Power Flow Analysis” IEEE PES Transmission and Distribution Conference, Dallas, Texas, May 2016.

An Equivalent Circuit Formulation for Three-Phase Power Flow Analysis of Distribution Systems

M. Jereminov, D. Bromberg, A. Pandey, G. Hug, X. Li and L. Pileggi, “An Equivalent Circuit Formulation for Three-Phase Power Flow Analysis of Distribution Systems” IEEE PES Transmission and Distribution Conference, Dallas, Texas, May 2016.

Ultra-Compact Graphene Multigate Variable Resistor for Neuromorphic Computing

M. Darwish, V. Calayir, L. Pileggi, J. Weldon, “Ultra-Compact Graphene Multigate Variable Resistor for Neuromorphic Computing”, IEEE Transactions on Nanotechnology, Vol. 15, No. 2, March 2016.

Enabling Portable Energy Efficiency with Memory Accelerated Library

Q. Guo, T.-M. Low, N. Alachiotis, B. Akin, L. Pileggi, J.C. Hoe, F. Franchetti, “Enabling Portable Energy Efficiency with Memory Accelerated Library”, 48th Annual IEEE/ACM International Symposium on Microarchitecture, 2015.

Re-thinking Polynomial Optimization: Efficient Programming of Reconfigurable Radio Frequency (RF) Systems by Convexification

F. Wang, S. Yin, M. Jun, X. Li, T. Mukherjee, R. Negi, L. Pileggi, “Re-thinking Polynomial Optimization: Efficient Programming of Reconfigurable Radio Frequency (RF) Systems by Convexification”, Asia and South Pacific Design Automation Conference, January 2016.

Low-Overhead Self-Healing Methodology for Current Matching in Current-Steering DAC

R. Liu and L. Pileggi, “Low-Overhead Self-Healing Methodology for Current Matching in Current-Steering DAC”, IEEE Transactions on Circuits and Systems II, vol 62, no. 7, pp. 651-655, July 2015.

Exploiting Sub-20 nm CMOS Technology Challenges to Design Affordable SoCs

K. Vaidyanathan, Q. Zhu, L. Liebmann, K. Lai, S. Wu, R. Liu, Y. Liu, A.J. Strojwas, and L. Pileggi, “Exploiting Sub-20 nm CMOS Technology Challenges to Design Affordable SoCs”, Journal of Micro/Nanolithography, J. Micro/Nanolith. MEMS MOEMS, 14(1), 011007, July 2015.

A Wideband RF Receiver with Extended Statistical Element Selection Based Harmonic Rejection Calibration

R. Liu, L. Pileggi and J. A. Weldon, “A Wideband RF Receiver with Extended Statistical Element Selection Based Harmonic Rejection Calibration”, Integration the VLSI Journal, June 2015.

Oscillatory Neural Networks based on TMO Nano-Oscillators and Multi-Level RRAM Cells

T. C. Jackson, A. A. Sharma, J. A. Bain, J. A. Weldon, L. Pileggi, “Oscillatory Neural Networks based on TMO Nano-Oscillators and Multi-Level RRAM Cells”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), June 2015.