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  1. NEEDS Compact Model Development Process - v0.1

    17 Feb 2014 | Online Presentations | Contributor(s): Michael McLennan

    The Nano-Engineered Electronic Device Simulation (NEEDS) effort is focused on creating compact models for nanoelectronics. The process involves a new Berkeley Model Development Environment (MDE) tool (https://nanohub.org/tools/mde) and other infrastructure on nanoHUB.org. This seminar describes...

  2. Resume Writing Strategy

    11 Apr 2014 | Online Presentations | Contributor(s): Tim Luzader

  3. Flexible Hybrid Analog and Digital Computers

    11 Apr 2014 | Online Presentations | Contributor(s): Richard Wunderlich

    To build the most efficient computers of the future, it is likely one will need to leverage many different computational domains depending on the problem at hand. This presentation covers reconfigurable, hybrid computers and core technologies built to explore this idea.

  4. RF Solid-State Vibrating Transistors

    15 Feb 2014 | Online Presentations | Contributor(s): Dana Weinstein

    In this talk, I will discuss the Resonant Body Transistor (RBT), which can be integrated into a standard CMOS process. The first hybrid RF MEMS-CMOS resonators in Si at the transistor level of IBM’s SOI CMOS process, without any post-processing or packaging will be described. ...

  5. Thirty-eight years as an Academic Chairman: Struggling to Prosper by doing the Right Thing

    15 Feb 2014 | Online Presentations | Contributor(s): Bob Eisenberg

  6. Ionic Interactions in Biological and Physical Systems: a Variational Treatment

    15 Feb 2014 | Online Presentations | Contributor(s): Bob Eisenberg

    All biology occurs in ionic mixtures loosely called Ringer solutions. Biology depends on interactions of ions. Interactions of Na+, K+, and Ca2+ with channel proteins produce electrical signals of nerves and coordinate muscle contraction including the heart. Proteins, channels, and nucleic acids...

  7. IMA 2013 UQ: Bayesian Calibration of Molecular Dynamics Simulations for Composite Materials Properties

    28 May 2014 | Online Presentations | Contributor(s): Paul N. Patrone

    In this talk, I discuss ongoing research whose goal is to determine, via Bayesian inference, an ensemble of inputs that represents a class of commercially important amine-cured epoxies. We construct an analytical approximation (i.e. a surrogate or emulator) of the simulations, treating the input...

  8. IMA 2013 UQ: DFT-based Thermal Properties: Three Levels of Error Management

    02 Apr 2014 | Online Presentations | Contributor(s): Kurt Lejaeghere

    It is often computationally expensive to predict finite-temperature properties of a crystal from density-functional theory (DFT). The temperature-dependent thermal expansion coefficient α, for example, is calculated from the phonon spectrum, and the melting temperature Tm can only be obtained...

  9. IMA 2013 UQ: Foam Property Prediction from Process Modeling

    28 May 2014 | Online Presentations

    We are developing computational models to elucidate the injection, expansion, and dynamic filling process for polyurethane foam such as PMDI. The polyurethane is a chemically blown foam, where carbon dioxide is produced via reaction of water, the blowing agent, and isocyanate. In a competing...

  10. IMA 2013 UQ: Probabilistic Hazard Mapping and Uncertainty Quantification Based on Granular Flow Simulations

    02 Apr 2014 | Online Presentations | Contributor(s): Elaine Spiller

    PDE models of granular flows are invaluable tools for developing probabilistic hazards maps for volcanic landslides, but they are far from perfect. Epistemic uncertainty -- uncertainty due to a lack of model refinement -- arises through assumptions made in physical models, numerical...

  11. IMA 2013 UQ: Prediction Interval Construction for Smart Material Systems in the Presence of Model Discrepancy

    01 Apr 2014 | Online Presentations | Contributor(s): Ralph Smith

    In this presentation, we will discuss issues pertaining to the construction of prediction intervals in the presence of model biases or discrepancies. We will illustrate this in the context of models for smart material systems but the issues are relevant for a range of physical and biological...

  12. ME 592 Lecture 01: Introduction

    26 Feb 2014 | Online Presentations | Contributor(s): Steve Wereley

  13. Mathematics of Ions in Channels and Solutions: Stochastic Derivations, Direct, Variational and Inverse Solutions that fit Data

    05 Feb 2014 | Online Presentations | Contributor(s): Bob Eisenberg

    Literally thousands of biologists study the properties of channels in experiments every day. My collaborators and I have shown how the relevant equations can be derived (almost) from stochastic differential equations, and how they can be solved in inverse, variational, and direct problems using...

  14. ME 517 Lecture 03: Scaling

    05 Feb 2014 | Online Presentations | Contributor(s): Steve Wereley

  15. ME 517 Lecture 02: Feynman and Trimmer

    05 Feb 2014 | Online Presentations | Contributor(s): Steve Wereley

  16. ME 517 Lecture 01: Introduction

    05 Feb 2014 | Online Presentations | Contributor(s): Steve Wereley

  17. Efficiency Enhancement for Nanoelectronic Transport Simulations

    02 Feb 2014 | Papers | Contributor(s): Jun Huang

    PhD thesis of Jun HuangContinual technology innovations make it possible to fabricate electronic devices on the order of 10nm. In this nanoscale regime, quantum physics becomes critically important, like energy quantization effects of the narrow channel and the leakage currents due to tunneling....

  18. [Illinois] Biological Models with Combinatorial Spaces

    02 Feb 2014 | Online Presentations | Contributor(s): Bonnie Kirkpatrick

  19. [Illinois] Got Milk?: Characterization, Synthesis and Utilization of Human Milk Oligosaccharides

    04 Feb 2014 | Online Presentations | Contributor(s): Michael Miller

  20. [Illinois] Simultaneous Co-Fermentation of Mixed Sugars

    04 Feb 2014 | Online Presentations | Contributor(s): Yong-Su Jin