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2010 Nano-Biophotonics Summer School @ UIUC Lecture 1 - Introduction
20 Sep 2010 | | Contributor(s):: Rashid Bashir, Stephen Boppart
Edited and Uploaded by Omar Sobh, University of Illinois at Urbana-Champaign
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2010 Nano-Biophotonics Summer School @ UIUC Lecture 5 - Biomedicine - A tour of the Cell
25 Sep 2010 | | Contributor(s):: Marina Marjanovic
Edited and Uploaded by Omar Sobh, University of Illinois at Urbana-Champaign
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A Gentle Introduction to Nanotechnology and Nanoscience
13 Feb 2006 | | Contributor(s):: Mark Ratner
While the Greek root nano just means dwarf, the nanoscale has become a giant focus of contemporary science and technology. We will examine the fundamental issues underlying the excitement involved in nanoscale research - what, why and how. Specific topics include assembly, properties,...
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A Primer on Scanning Tunneling Microscopy (STM)
04 Apr 2006 | | Contributor(s):: Ron Reifenberger
Scanning Probe Microscopes and their remarkable ability to provide three-dimensional maps of surfaces at the nanometer length scale have arguably been the most important tool in establishing the world-wide emergence of Nanotechnology. In this talk, the fundamental ideas behind the first scanning...
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A Primer on Semiconductor Device Simulation
23 Jan 2006 | | Contributor(s):: Mark Lundstrom
Computer simulation is now an essential tool for the research and development of semiconductor processes and devices, but to use a simulation tool intelligently, one must know what's "under the hood." This talk is a tutorial introduction designed for someone using semiconductor...
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A Top-Down Introduction to the NEGF Approach
14 Jun 2004 | | Contributor(s):: Mark Lundstrom
A Top-Down Introduction to the NEGF Approach
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ABACUS - Assembly of Basic Applications for Coordinated Understanding of Semiconductors
16 Jul 2008 | | Contributor(s):: Xufeng Wang, Daniel Mejia, Dragica Vasileska, Gerhard Klimeck
One-stop-shop for teaching semiconductor devices
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Active Learning via Bayesian Optimization for Materials Discovery
09 Jun 2021 | | Contributor(s):: Hieu Doan, Garvit Agarwal
In this tutorial, we will demonstrate the use of active learning via Bayesian optimization (BO) to identify ideal molecular candidates for an energy storage application.
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Affordable Clean Energy: Challenges and Opportunities
20 Oct 2008 | | Contributor(s):: Hukam C. Mongia
The technical presentation is built around the August 9th 2008 ABC News/Planet Green/Stanford Poll on Environment/Energy in which the majority of the people polled expressed support for the following ideas: increase fuel efficiency standards, allowing drilling offshore, people and businesses are...
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An Introduction to BioMEMS and Bionanotechnology
07 Feb 2005 | | Contributor(s):: Rashid Bashir
This lecture series introduces the basic concepts and key topics underlying the interdisciplinary areas of BioMEMS and Bionanotechnology. Advances in this field require the knowledge of polymer processing and soft lithography in addition to knowledge of silicon-inspired fabrication. Since the...
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An Introduction to Machine Learning for Materials Science: A Basic Workflow for Predicting Materials Properties
09 Jun 2021 | | Contributor(s):: Benjamin Afflerbach
This tutorial will introduce core concepts of machine learning through the lens of a basic workflow to predict material bandgaps from material compositions.
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An Introduction to Quantum Computing
12 Sep 2008 | | Contributor(s):: Edward Gerjuoy
Quantum mechanics, as formulated more than 80 years ago by Schrodinger, Heisenberg, Dirac and other greats, is a wholly sufficient foundation for its modern interrelated subfields of quantum computation (qc) and quantum information (qi), which generally are lumped together into a single subfield...
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An Overview of Virtualization Techniques
03 Feb 2006 | | Contributor(s):: Renato Figueiredo
This presentation presents an introduction to resource virtualizationtechniques, which are one of the foundations of the infrastructure foronline simulation provided by the nanoHUB.
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Atomic Force Microscopy
01 Dec 2005 | | Contributor(s):: Arvind Raman
Atomic Force Microscopy (AFM) is an indispensible tool in nano science for the fabrication, metrology, manipulation, and property characterization of nanostructures. This tutorial reviews some of the physics of the interaction forces between the nanoscale tip and sample, the dynamics of the...
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Atomistic Alloy Disorder in Nanostructures
26 Feb 2007 | | Contributor(s):: Gerhard Klimeck
Electronic structure and quantum transport simulations are typically performed in perfectly ordered semiconductor structures. Bands and modes are defined resulting in quantized conduction and discrete states. But what if the material is fundamentally disordered? What if the disorder is at the...
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Bandstructure in Nanoelectronics
01 Nov 2005 | | Contributor(s):: Gerhard Klimeck
This presentation will highlight, for nanoelectronic device examples, how the effective mass approximation breaks down and why the quantum mechanical nature of the atomically resolved material needs to be included in the device modeling. Atomistic bandstructure effects in resonant tunneling...
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Bandstructure of Carbon Nanotubes and Nanoribbons
14 Jun 2007 | | Contributor(s):: James K Fodor, Seokmin Hong, Jing Guo
This learning module introduces users to the Carbon-Nano Bands simulation tool, which simulates the bandstructure of Carbon Nanotubes (CNTs) and Nanoribbons (CNRs). To gives users a strong background in bandstructure, the module starts with sections that introduce bandstructure basics. To this...
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Basics of Compact Model Development
02 Aug 2014 | | Contributor(s):: Sivakumar P Mudanai
This tutorial is aimed at developing an understanding of what a compact model is, the need and role of compact models in the semiconductor industry and the requirements that a compact model must meet for acceptable use in circuit simulations. The tutorial will use simple examples from planar...
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Basics of Particle Adhesion
21 May 2008 | | Contributor(s):: Stephen P. Beaudoin
This presentation will describe the adhesion of rough, asymmetric particles with micro- to nano-scale dimension to solid surfaces. These adhesion processes are of great interest in microelectronics and pharmaceutical manufacturing. The presentation will include experimental and theoretical and...
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Bayesian optimization tutorial using Jupyter notebook
11 Jun 2021 | | Contributor(s):: Hieu Doan, Garvit Agarwal
Active learning via Bayesian optimization for materials discovery