
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 highk gate...

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...

Physics and Simulation of QuasiBallistic Transport in Nanoscale Transistors
28 Jun 2013  Papers  Contributor(s): JungHoon 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...

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...

TwoDimensional 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 driftdiffusion 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...

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 collisiondominated 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...

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...

[Illinois]: Fish classification using backpropagation
28 Jun 2013  Tools  Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Trains a threelayered network of sigmoidal units using backpropagation to classify fish according to their lengths

[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

[Illinois]: Posterior probability of a target given singlesensory 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)

[Illinois]: Posterior target probability given singlesensory 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)

[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)

[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)

[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 twolayered networks of sigmoidal units to associate patterns using perturbation of one weight at a time.

Microbeam Dynamics with Varying Force Model
01 Jul 2013  Tools  Contributor(s): Saagar Unadkat
Simulate the dynamics of microbeams with Knudsen Forces, Electrostatic and GForces.

MAE 6291 Lecture 07: FET, WGM and GMR as Signal Transducers
07 Jul 2013  Online Presentations  Contributor(s): jonathan silver
 F. Patolsky et al., Electrical detection of single viruses, Proc. Natl. Acad. Sci. 101:1401714022...

Poster: Integrating ethics and policy into nanotechnology education
08 Jul 2013  Presentation Materials  Contributor(s): Mike Gorman
Presented at the EEC meeting March 2012

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....

[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

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 devicerelated challenges to realizing a nanotubedriven digital technology will be covered.