From Virtual Characterization to Test-Chips: DFM Analysis through Pattern Enumeration

S. Pagliarini, M. Isgenc, M. Martins and L. Pileggi, “From Virtual Characterization to Test-Chips: DFM Analysis through Pattern Enumeration,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, December 2018.

Application and Product-Volume Specific Customization of BEOL Metal Pitch

S. Pagliarini, M. Isgenc, M. Martins and L. Pileggi, “Application and Product-Volume Specific Customization of BEOL Metal Pitch,” IEEE Transactions on VLSI, Vol. 26, Issue:9, pp. 1627-1636, September 2018.

Analysis and Background Self-Calibration of Comparator Offset in Loop-Unrolled SAR ADCs

S. Liu, T. Rabuske, J. Paramesh, L. Pileggi, and J. Fernandes, “Analysis and Background Self-Calibration of Comparator Offset in Loop-Unrolled SAR ADCs”, IEEE Transactions on Circuits and Systems I, Vol. 65, No. 2, pp. 458-470, February 2018.

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.

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.

Device Requirements and Technology-driven Architecture Optimization for Analog Neurocomputing

V. Calayir and L. Pileggi, “Device Requirements and Technology-driven Architecture Optimization for Analog Neurocomputing”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 5, no. 2, pp. 162-173, June 2015.

All-Magnetic MRAM Based on Four Terminal mCell Device

D. M. Bromberg, H. E. Sumbul, J.-G. Zhu, L. Pileggi, “All-Magnetic MRAM Based on Four Terminal mCell Device”, Journal of Applied Physics, May 2015.