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  1. Carbon Nanotube Electronics: Modeling, Physics, and Applications

    28 Jun 2013 | Papers | Contributor(s): Jing Guo

    In recent years, significant progress in understanding the physics of carbon nanotube electronic devices and in identifying potential applications has occurred. In a nanotube, low bias transport can be nearly ballistic across distances of several hundred nanometers. Deposition of high-k gate...

  2. Modeling Quantum Transport i Nanoscale Transistors

    28 Jun 2013 | Papers | Contributor(s): Ramesh Venugopal

    As critical transistor dimensions scale below the 100 nm (nanoscale) regime, quantum mechanical effects begin to manifest themselves and affect important device performance metrics. Therefore, simulation tools which can be applied to design nanoscale transistors in the future, require new theory...

  3. Physics and Simulation of Quasi-Ballistic Transport in Nanoscale Transistors

    28 Jun 2013 | Papers | Contributor(s): Jung-Hoon Rhew

    The formidable progress in microelectronics in the last decade has pushed thechannel length of MOSFETs into decanano scale and the speed of BJTs into hundreds of gigahertz. This progress imposes new challenges on device simulation as the essential physics of carrier transport departs that of...

  4. Nanoscale MOSFETS: Physics, Simulation and Design

    28 Jun 2013 | Papers | Contributor(s): Zhibin Ren

    This thesis discusses device physics, modeling and design issues of nanoscale transistors at the quantum level. The principle topics addressed in this report are 1) an implementation of appropriate physics and methodology in device modeling, 2)development of a new TCAD (technology computer aided...

  5. Two-Dimensional Scattering Matrix Simulations of Si MOSFET'S

    28 Jun 2013 | Papers | Contributor(s): Carl R. Huster

    For many years now, solid state device simulators have been based on the drift-diffusion equations. As transistor sizes have been reduced, there has been considerable concern about the predictive capability of these simulators. This concern has lead to the development of a number of simulation...

  6. Direct Solution of the Boltzmann Transport Equation in Nanoscale Si Devices

    28 Jun 2013 | Papers | Contributor(s): Kausar Banoo

    Predictive semiconductor device simulation faces a challenge these days. As devices are scaled to nanoscale lengths, the collision-dominated transport equations used in current device simulators can no longer be applied. On the other hand, the use of a better, more accurate Boltzmann Transport...

  7. Computational and Experimental Study of Transport in Advanced Silicon Devices

    28 Jun 2013 | Papers | Contributor(s): Farzin Assad

    In this thesis, we study electron transport in advanced silicon devices by focusing on the two most important classes of devices: the bipolar junction transistor (BJT) and the MOSFET. In regards to the BJT, we will compare and assess the solutions of a physically detailed microscopic model to...

  8. [Illinois]: Fish classification using back-propagation

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Trains a three-layered network of sigmoidal units using back-propagation to classify fish according to their lengths

  9. [Illinois]: Posterior probabilities of hypothetical fish classes

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Computes the posterior probabilities of each of three hypothetical fish classes using Bayes' rule

  10. [Illinois]: Posterior probability of a target given single-sensory input (Bayes')

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Computes the posterior probability of a target given sensory input of one modality (i.e., visual)

  11. [Illinois]: Posterior target probability given single-sensory input (delta rule)

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Trains a single sigmoidal unit using the delta rule to estimate posterior target probability given sensory input of one modality (i.e., visual)

  12. [Illinois]: Posterior probability of a target given input for two senses (Bayes')

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Computes the posterior probability of a target given sensory input of two modalities (i.e., visual and auditory)

  13. [Illinois]: Posterior probability of a target given input for two senses (delta)

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Trains a single sigmoidal unit using the delta rule to estimate posterior target probability given sensory input of two modalities (i.e., visual and auditory)

  14. [Illinois]: Error Gradient Estimations Due to Perturbation of One Weight at a Time

    29 Jun 2013 | Tools | Contributor(s): AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

    This tool trains two-layered networks of sigmoidal units to associate patterns using perturbation of one weight at a time.

  15. Microbeam Dynamics with Varying Force Model

    01 Jul 2013 | Tools | Contributor(s): Saagar Unadkat

    Simulate the dynamics of microbeams with Knudsen Forces, Electrostatic and G-Forces.

  16. MAE 6291 Lecture 07: FET, WGM and GMR as Signal Transducers

    07 Jul 2013 | Online Presentations | Contributor(s): jonathan silver

    1. F. Patolsky et al., Electrical detection of single viruses, Proc. Natl. Acad. Sci. 101:14017-14022...

    2. Poster: Integrating ethics and policy into nanotechnology education

      08 Jul 2013 | Presentation Materials | Contributor(s): Mike Gorman

      Presented at the EEC meeting March 2012

    3. An Elementary Note on Skin Hydration Measurement Using Memristive Effect

      09 Jul 2013 | Papers | Contributor(s): Tukaram Dattatray Dongale

      The Memristor was predicted by Prof. L. Chua in 1971 and first prototype was reported by team of HP researcher. The memristor follows interesting relation in the view of magnetic flux and charge. There are tremendous applications areas emerged out in the framework of memristor in last few years....

    4. [Illinois] A Response of a Single Neuron with Positive Feedback

      09 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, Jessica S Johnson, NanoBio Node

      This tool stimulates the pulse or step response of a single neuron with positive feedback

    5. The Road Ahead for Carbon Nanotube Transistors

      09 Jul 2013 | Online Presentations | Contributor(s): Aaron Franklin

      In this talk, recent advancements in the nanotube transistor field will be reviewed, showing why CNTFETs are worth considering now more than ever. Then, the material- and device-related challenges to realizing a nanotube-driven digital technology will be covered.

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