Scientific Computing with Python
24 Oct 2004 | Online Presentations | Contributor(s): Eric Jones, Travis Oliphant
INSTRUCTORS: Eric Jones and Travis Oliphant.Sunday, October 24, 9:00 a.m. - 5:00 p.m.Room 322, Stewart CenterPython has emerged as an excellent choice for scientific computing because of its simple syntax, ease of use, and elegant multi-dimensional array arithmetic. Its interpreted evaluation...
Simple Theory of the Ballistic MOSFET
11 Oct 2005 | Online Presentations | Contributor(s): Mark Lundstrom
Silicon nanoelectronics has become silicon nanoelectronics, but we still analyze, design, and think about MOSFETs in more or less in the same way that we did 30 years ago. In this talk, I will describe a simple analysis of the ballistic MOSFET. No MOSFET is truly ballistic, but approaching this...
First Principles-based Atomistic and Mesoscale Modeling of Materials
01 Dec 2005 | Online Presentations | Contributor(s): Alejandro Strachan
This tutorial will describe some of the most powerful and widely used techniques for materials modeling including i) first principles quantum mechanics (QM), ii) large-scale molecular dynamics (MD) simulations and iii) mesoscale modeling, together with the strategies to bridge between them. These...
Field Regulation of Single Molecule Conductivity by a Charged Atom
29 Jul 2005 | Online Presentations | Contributor(s): Robert Wolkow
A new concept for a single molecule transistor is demonstrated. A single chargeable atom adjacent to a molecule shifts molecular energy levels into alignment with electrode levels, thereby gating current through the molecule. Seemingly paradoxically, the silicon substrate to which the molecule is...
Geometry of Diffusion and the Performance Limits of Nanobiosensors
05 Dec 2006 | Online Presentations | Contributor(s): Muhammad A. Alam, Pradeep Ramachandran Nair
This presentation demonstrates how the classical diffusion-capture (D-C) model has improved sensor performance, since the D-C model is a "geometry of diffusion" rather than a "geometry of electrostatics." A scaling law based on D-C is also posited; the scaling law resolves many classical puzzles...
Self-Heating and Scaling of Silicon Nano-Transistors
05 Aug 2004 | Online Presentations | Contributor(s): Eric Pop
The most often cited technological roadblock of nanoscale electronics is the "power problem," i.e. power densities and device temperatures reaching levels that will prevent their reliable operation. Technology roadmap (ITRS) requirements are expected to lead to more heat dissipation problems,...
Electronic Transport in Semiconductors (Introductory Lecture)
25 Aug 2004 | Online Presentations | Contributor(s): Mark Lundstrom
Welcome to the ECE 656 Introductory lecture. The objective of the course is to develop a clear, physical understanding of charge carrier transport in bulk semiconductors and in small semiconductor devices.The emphasis is on transport physics and its consequences in a device context. The course...
10 Sep 2004 | Online Presentations | Contributor(s): James R. Heath
As we enter the 21st century, we stand at a major inflection point for biology and medicine-the way we view and practice these disciplines is changing profoundly. These changes are being driven by systems biology, a new approach to biology, and which will increasingly transform medicine from...
Computational Prototyping Tools For Biological Applications
03 Dec 2004 | Online Presentations | Contributor(s): Jacob White
Computational tools are playing a rapidly expanding role in biology, both for engineering design and in exploratory science. The main reason is that the dramatic improvements in the measurement and mathematical modeling of basic biochemical and biological processes is making it possible to...
Exponential Challenges, Exponential Rewards - The Future of Moore's Law
14 Dec 2004 | Online Presentations | Contributor(s): Shekhar Borkar
Three exponentials have been the foundation of today's electronics, which are often taken for granted—namely transistor density, performance, and energy. Moore's Law captures the impact of these exponentials. Exponentially increasing transistor integration capacity, and exponentially...