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Exploiting the Electronic Properties of Proteins: An Approach to Nanoscale Electronics
26 Jul 2004 | | Contributor(s):: Ron Reifenberger
Exploiting the Electronic Properties of Protiens: An Approach to Nanoscale Electronics
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Exploring Biotechnology Careers
02 Jan 2024 | | Contributor(s):: Todd Smith, The Micro Nano Technology - Education Center
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Extracting Hidden Three-Dimensional Information from Your Fluorescence Microscope
19 Feb 2019 | | Contributor(s):: Mikael Backlund
Here I will focus on two studies that demonstrate this concept. First I will discuss the fundamental limits associated with determining the three-dimensional position of a fluorescent emitter, with insights provided by quantum parameter estimation theory. Second I will show how nitrogen-vacancy...
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Fine Tuning Microcantilever Vibrations for Ultrasensitive Analyte Mass Detection
27 Jul 2005 | | Contributor(s):: Arvind Raman
Microcantilever based biochemical sensing has shown tremendous promise for ultrasenstive detection in both liquid and ambient conditions. However improving the sensitivity, reliability and robustness of these sensors so they can achieve their potential needs substantial efforts in (a) chemical...
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First Principles-based Atomistic and Mesoscale Modeling of Materials
01 Dec 2005 | | 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...
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First Principles-Based Modeling of materials: Towards Computational Materials Design
20 Apr 2006 | | Contributor(s):: Alejandro Strachan
Molecular dynamics (MD) simulations with accurate, first principles-based interatomic potentials is a powerful tool to uncover and characterize the molecular-level mechanisms that govern the chemical, mechanical and optical properties of materials. Such fundamental understanding is critical to...
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FocalPointPlasticity Plugin Demo
12 Apr 2021 | | Contributor(s):: Juliano Ferrari Gianlupi, T.J. Sego
This simple demo shows basic functionality of FocalPointPlasticity and how link rigidity affects cell behaviors.
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Forced Protein Unfolding
01 Jun 2009 | | Contributor(s):: Ashlie Martini, Benjamin Rafferty, Zachary Carl Flohr
Molecular dynamics simulation of forced protein unfolding
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From Research to Learning in Chemistry through Visualization and Computation
17 May 2007 | | Contributor(s):: Eric Jakobsson
Modern chemistry research and high school chemistry education are separated by institutional and geographical boundaries. As such, much of secondary chemistry education is still based on the periodic table instead of the computational methods that drive current chemistry research. In this talk,...
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Fun Experiments You Can Only Do With Frogs
11 May 2021 | | Contributor(s):: Rebecca W. Heald
Our studies aim to reveal underlying principles of spindle assembly and biological size control, as well as the molecular basis of variation that contributes to genomic instability and evolution. This talk will focus on the nano-scale aspects and include some single molecule experiments our lab...
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Functionalization Workbench
30 Aug 2013 | | Contributor(s):: AbderRahman N Sobh, Chen-Yu Li, Nahil Sobh, Aleksei Aksimentiev
Using molecular dynamic simulation - explore the interactions between a molecular structure and substrate when they are linked together.
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Functionalized Nanomaterials at the Interface of Biology and Technology
24 Apr 2008 | | Contributor(s):: Dean Ho, National Center for Learning & Teaching in Nanoscale Science & Engineering
Nanomaterials, such as block copolymeric membranes and nanodiamonds, can be engineered for a broad range of applications in energy and medicine. This presentation will highlight the relevance of these materials as foundations for device fabrication across the spectrum of biology and technology....
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Fundamental Limits to the Precision of Multicellular Sensing
27 Jun 2017 | | Contributor(s):: Andrew Mugler
Here we address, with both theory and experiments, whether cell-cell communication improves concentration- and gradient-sensing precision. We develop a minimal model of collective sensing by cells that communicate via juxtacrine signaling, in which a small molecule is exchanged between...
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Gaussian processes 1D
10 Jun 2015 | | Contributor(s):: Ilias Bilionis, Juan Camilo Lopez, Yinuo Li
Allows the user to sample functions from a Gaussian process.
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Gaussian processes 2D
26 Jun 2015 | | Contributor(s):: Ilias Bilionis, Yinuo Li, Juan Camilo Lopez
Gaussian Process 2D Sampling
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Gelatin Microfluidics
13 Jan 2020 | | Contributor(s):: Javier Cervantes, NNCI Nano
This lab shows the importance of channel design in biotechnology and nanotechnology and the methods used to study the behavior of fluids as they flow through a channel. Students will create and test a microfluidic device by creating narrow channels in gelatin, injecting dye in the...
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Geometry of Diffusion and the Performance Limits of Nanobiosensors
05 Dec 2006 | | 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...
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Glass transition temperature notebook
22 May 2017 | | Contributor(s):: Benjamin P Haley, Lorena Alzate-Vargas
Calculate the glass transition temperature of an atomistic, amorphous system by running MD simulations in a notebook
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Golden Opportunities: Gold Nanoparticles for Biomedical Applications
13 Jan 2020 | | Contributor(s):: Catherine J. Murphy
In this talk I will discuss how these nanoparticles are prepared, how their surface chemistry can be tuned, how apparent cytotoxicity can be traced back to reagents in the synthesis rather than the particles per se, how protein orientation can be controlled on their surfaces, how cells respond...
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Granular Crystals
22 Jul 2015 | | Contributor(s):: Juan Camilo Lopez, Rohit Kaushal Tripathy, Ilias Bilionis, Marcial Gonzalez
Allows the user to sample properties of granular chains under uncertainty propagation