The Experts below are selected from a list of 34239 Experts worldwide ranked by ideXlab platform

Ting Lei - One of the best experts on this subject based on the ideXlab platform.

  • low voltage high performance flexible digital and Analog Circuits based on ultrahigh purity semiconducting carbon nanotubes
    Nature Communications, 2019
    Co-Authors: Ting Lei, Lei-lai Shao, Yu-qing Zheng, Gregory Pitner, Guanhua Fang, Chenxin Zhu, Ray Beausoleil, H.-s. Philip Wong
    Abstract:

    Carbon nanotube (CNT) thin-film transistor (TFT) is a promising candidate for flexible and wearable electronics. However, it usually suffers from low semiconducting tube purity, low device yield, and the mismatch between p- and n-type TFTs. Here, we report low-voltage and high-performance digital and Analog CNT TFT Circuits based on high-yield (19.9%) and ultrahigh purity (99.997%) polymer-sorted semiconducting CNTs. Using high-uniformity deposition and pseudo-CMOS design, we demonstrated CNT TFTs with good uniformity and high performance at low operation voltage of 3 V. We tested forty-four 2-µm channel 5-stage ring oscillators on the same flexible substrate (1,056 TFTs). All worked as expected with gate delays of 42.7 ± 13.1 ns. With these high-performance TFTs, we demonstrated 8-stage shift registers running at 50 kHz and the first tunable-gain amplifier with 1,000 gain at 20 kHz. These results show great potentials of using solution-processed CNT TFTs for large-scale flexible electronics. Carbon nanotube thin-film transistor is promising for solution-processed, large-scale flexible electronics, but the device yields remain poor to date. Lei et al. show low-voltage flexible digital and Analog Circuits based on high-purity and high-yield separation of semiconducting carbon nanotubes.

  • Low-voltage high-performance flexible digital and Analog Circuits based on ultrahigh-purity semiconducting carbon nanotubes
    Nature Publishing Group, 2019
    Co-Authors: Ting Lei, Lei-lai Shao, Yu-qing Zheng, Gregory Pitner, Guanhua Fang, Chenxin Zhu, Ray Beausoleil, H.-s. Philip Wong, Tsung-ching Huang
    Abstract:

    Carbon nanotube thin-film transistor is promising for solution-processed, large-scale flexible electronics, but the device yields remain poor to date. Lei et al. show low-voltage flexible digital and Analog Circuits based on high-purity and high-yield separation of semiconducting carbon nanotubes

H.-s. Philip Wong - One of the best experts on this subject based on the ideXlab platform.

  • low voltage high performance flexible digital and Analog Circuits based on ultrahigh purity semiconducting carbon nanotubes
    Nature Communications, 2019
    Co-Authors: Ting Lei, Lei-lai Shao, Yu-qing Zheng, Gregory Pitner, Guanhua Fang, Chenxin Zhu, Ray Beausoleil, H.-s. Philip Wong
    Abstract:

    Carbon nanotube (CNT) thin-film transistor (TFT) is a promising candidate for flexible and wearable electronics. However, it usually suffers from low semiconducting tube purity, low device yield, and the mismatch between p- and n-type TFTs. Here, we report low-voltage and high-performance digital and Analog CNT TFT Circuits based on high-yield (19.9%) and ultrahigh purity (99.997%) polymer-sorted semiconducting CNTs. Using high-uniformity deposition and pseudo-CMOS design, we demonstrated CNT TFTs with good uniformity and high performance at low operation voltage of 3 V. We tested forty-four 2-µm channel 5-stage ring oscillators on the same flexible substrate (1,056 TFTs). All worked as expected with gate delays of 42.7 ± 13.1 ns. With these high-performance TFTs, we demonstrated 8-stage shift registers running at 50 kHz and the first tunable-gain amplifier with 1,000 gain at 20 kHz. These results show great potentials of using solution-processed CNT TFTs for large-scale flexible electronics. Carbon nanotube thin-film transistor is promising for solution-processed, large-scale flexible electronics, but the device yields remain poor to date. Lei et al. show low-voltage flexible digital and Analog Circuits based on high-purity and high-yield separation of semiconducting carbon nanotubes.

  • Low-voltage high-performance flexible digital and Analog Circuits based on ultrahigh-purity semiconducting carbon nanotubes
    Nature Publishing Group, 2019
    Co-Authors: Ting Lei, Lei-lai Shao, Yu-qing Zheng, Gregory Pitner, Guanhua Fang, Chenxin Zhu, Ray Beausoleil, H.-s. Philip Wong, Tsung-ching Huang
    Abstract:

    Carbon nanotube thin-film transistor is promising for solution-processed, large-scale flexible electronics, but the device yields remain poor to date. Lei et al. show low-voltage flexible digital and Analog Circuits based on high-purity and high-yield separation of semiconducting carbon nanotubes

Lei-lai Shao - One of the best experts on this subject based on the ideXlab platform.

  • low voltage high performance flexible digital and Analog Circuits based on ultrahigh purity semiconducting carbon nanotubes
    Nature Communications, 2019
    Co-Authors: Ting Lei, Lei-lai Shao, Yu-qing Zheng, Gregory Pitner, Guanhua Fang, Chenxin Zhu, Ray Beausoleil, H.-s. Philip Wong
    Abstract:

    Carbon nanotube (CNT) thin-film transistor (TFT) is a promising candidate for flexible and wearable electronics. However, it usually suffers from low semiconducting tube purity, low device yield, and the mismatch between p- and n-type TFTs. Here, we report low-voltage and high-performance digital and Analog CNT TFT Circuits based on high-yield (19.9%) and ultrahigh purity (99.997%) polymer-sorted semiconducting CNTs. Using high-uniformity deposition and pseudo-CMOS design, we demonstrated CNT TFTs with good uniformity and high performance at low operation voltage of 3 V. We tested forty-four 2-µm channel 5-stage ring oscillators on the same flexible substrate (1,056 TFTs). All worked as expected with gate delays of 42.7 ± 13.1 ns. With these high-performance TFTs, we demonstrated 8-stage shift registers running at 50 kHz and the first tunable-gain amplifier with 1,000 gain at 20 kHz. These results show great potentials of using solution-processed CNT TFTs for large-scale flexible electronics. Carbon nanotube thin-film transistor is promising for solution-processed, large-scale flexible electronics, but the device yields remain poor to date. Lei et al. show low-voltage flexible digital and Analog Circuits based on high-purity and high-yield separation of semiconducting carbon nanotubes.

  • Low-voltage high-performance flexible digital and Analog Circuits based on ultrahigh-purity semiconducting carbon nanotubes
    Nature Publishing Group, 2019
    Co-Authors: Ting Lei, Lei-lai Shao, Yu-qing Zheng, Gregory Pitner, Guanhua Fang, Chenxin Zhu, Ray Beausoleil, H.-s. Philip Wong, Tsung-ching Huang
    Abstract:

    Carbon nanotube thin-film transistor is promising for solution-processed, large-scale flexible electronics, but the device yields remain poor to date. Lei et al. show low-voltage flexible digital and Analog Circuits based on high-purity and high-yield separation of semiconducting carbon nanotubes

Georges Gielen - One of the best experts on this subject based on the ideXlab platform.

  • template free symbolic performance modeling of Analog Circuits via canonical form functions and genetic programming
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2009
    Co-Authors: Trent Mcconaghy, Georges Gielen
    Abstract:

    This paper presents CAFFEINE, a method to automatically generate compact interpretable symbolic performance models of Analog Circuits with no prior specification of an equation template. CAFFEINE uses SPICE simulation data to model arbitrary nonlinear Circuits and circuit characteristics. CAFFEINE expressions are canonical-form functions: product-of-sum layers alternating with sum-of-product layers, as defined by a grammar. Multiobjective genetic programming trades off error with model complexity. On test problems, CAFFEINE models demonstrate lower prediction error than posynomials, splines, neural networks, kriging, and support vector machines. This paper also demonstrates techniques to scale CAFFEINE to larger problems.

  • caffeine template free symbolic model generation of Analog Circuits via canonical form functions and genetic programming
    arXiv: Hardware Architecture, 2007
    Co-Authors: Trent Mcconaghy, Tom Eeckelaert, Georges Gielen
    Abstract:

    This paper presents a method to automatically generate compact symbolic performance models of Analog Circuits with no prior specification of an equation template. The approach takes SPICE simulation data as input, which enables modeling of any nonlinear Circuits and circuit characteristics. Genetic programming is applied as a means of traversing the space of possible symbolic expressions. A grammar is specially designed to constrain the search to a canonical form for functions. Novel evolutionary search operators are designed to exploit the structure of the grammar. The approach generates a set of symbolic models which collectively provide a tradeoff between error and model complexity. Experimental results show that the symbolic models generated are compact and easy to understand, making this an effective method for aiding understanding in Analog design. The models also demonstrate better prediction quality than posynomials.

  • caffeine template free symbolic model generation of Analog Circuits via canonical form functions and genetic programming
    European Solid-State Circuits Conference, 2005
    Co-Authors: Trent Mcconaghy, Tom Eeckelaert, Georges Gielen
    Abstract:

    This paper presents a method to automatically generate compact symbolic performance models of Analog Circuits with no prior specification of an equation template. The approach takes SPICE simulation data as input, which enables modeling of any nonlinear Circuits and circuit characteristics. Genetic programming is applied as a means of traversing the space of possible symbolic expressions. A grammar is specially designed to constrain the search to a canonical form for functions. The approach generates a set of symbolic models that collectively provide a tradeoff between error and model complexity. Experimental results show that the symbolic models generated ar compact and easy to understand, making this an effective method for aiding understanding in Analog design. The models also demonstrate better prediction quality than polynomials.

  • ibmg interpretable behavioral model generator for nonlinear Analog Circuits via canonical form functions and genetic programming
    International Symposium on Circuits and Systems, 2005
    Co-Authors: Trent Mcconaghy, Georges Gielen
    Abstract:

    The paper presents IBMG, an approach to generate behavioral models of nonlinear Analog Circuits, with the special distinction that it generates models that are compact and interpretable expressions which are not restricted to any pre-defined functional templates. IBMG outputs a small set of interpretable nonlinear differential equations that approximate the time-domain behavior of the circuit being modeled. The approach uses genetic programming (GP), which evolves functions, but GP has been heavily modified so that the behavioral expressions follow a special "canonical functional form" grammar to remain interpretable. IBMG has explicit error control; it provides a set of models that trade off complexity and accuracy. Experimental results on a strongly nonlinear latch circuit demonstrate the usefulness of IBMG.

  • caffeine template free symbolic model generation of Analog Circuits via canonical form functions and genetic programming
    Design Automation and Test in Europe, 2005
    Co-Authors: Trent Mcconaghy, Tom Eeckelaert, Georges Gielen
    Abstract:

    The paper presents a method to generate automatically compact symbolic performance models of Analog Circuits with no prior specification of an equation template. The approach takes SPICE simulation data as input, which enables modeling of any nonlinear Circuits and circuit characteristics. Genetic programming is applied as a means of traversing the space of possible symbolic expressions. A grammar is specially designed to constrain the search to a canonical form for functions. Novel evolutionary search operators are designed to exploit the structure of the grammar. The approach generates a set of symbolic models which collectively provide a tradeoff between error and model complexity. Experimental results show that the symbolic models generated are compact and easy to understand, making this an effective method for aiding understanding in Analog design. The models also demonstrate better prediction quality than posynomials. We name the approach CAFFEINE (canonical functional form expressions in evolution).

Gregory Pitner - One of the best experts on this subject based on the ideXlab platform.

  • low voltage high performance flexible digital and Analog Circuits based on ultrahigh purity semiconducting carbon nanotubes
    Nature Communications, 2019
    Co-Authors: Ting Lei, Lei-lai Shao, Yu-qing Zheng, Gregory Pitner, Guanhua Fang, Chenxin Zhu, Ray Beausoleil, H.-s. Philip Wong
    Abstract:

    Carbon nanotube (CNT) thin-film transistor (TFT) is a promising candidate for flexible and wearable electronics. However, it usually suffers from low semiconducting tube purity, low device yield, and the mismatch between p- and n-type TFTs. Here, we report low-voltage and high-performance digital and Analog CNT TFT Circuits based on high-yield (19.9%) and ultrahigh purity (99.997%) polymer-sorted semiconducting CNTs. Using high-uniformity deposition and pseudo-CMOS design, we demonstrated CNT TFTs with good uniformity and high performance at low operation voltage of 3 V. We tested forty-four 2-µm channel 5-stage ring oscillators on the same flexible substrate (1,056 TFTs). All worked as expected with gate delays of 42.7 ± 13.1 ns. With these high-performance TFTs, we demonstrated 8-stage shift registers running at 50 kHz and the first tunable-gain amplifier with 1,000 gain at 20 kHz. These results show great potentials of using solution-processed CNT TFTs for large-scale flexible electronics. Carbon nanotube thin-film transistor is promising for solution-processed, large-scale flexible electronics, but the device yields remain poor to date. Lei et al. show low-voltage flexible digital and Analog Circuits based on high-purity and high-yield separation of semiconducting carbon nanotubes.

  • Low-voltage high-performance flexible digital and Analog Circuits based on ultrahigh-purity semiconducting carbon nanotubes
    Nature Publishing Group, 2019
    Co-Authors: Ting Lei, Lei-lai Shao, Yu-qing Zheng, Gregory Pitner, Guanhua Fang, Chenxin Zhu, Ray Beausoleil, H.-s. Philip Wong, Tsung-ching Huang
    Abstract:

    Carbon nanotube thin-film transistor is promising for solution-processed, large-scale flexible electronics, but the device yields remain poor to date. Lei et al. show low-voltage flexible digital and Analog Circuits based on high-purity and high-yield separation of semiconducting carbon nanotubes