What's New: Past Month

Presentation Materials feed

  1. AFM And EBSD Cross-Comparison Analysis Tool

    14 Aug 2018 | Presentation Materials | Contributor(s):: Andrew Martin Krawec, John Blendell, Matthew John Michie

    Ceramic and semiconductor research is limited in its ability to create holistic representations of data in concise, easily-accessible file formats or visual data representations. These materials are used in everyday electronics, and optimizing their electrical and physical properties is...

  2. Developing a machine learning tool to optimize thermal transport

    14 Aug 2018 | Presentation Materials | Contributor(s):: Adam Sandor Garrett, proycho, Xiulin Ruan, creynolds

    The purpose of this tool is to optimize SiGe super-lattices to have the lowest possible thermal conductivity. This poster describes the processes used in the tool and how it impacts thermoelectrics.

  3. Radiation Induced Segregation in Fe-Cr-Al Alloys

    14 Aug 2018 | Presentation Materials | Contributor(s):: Timothy Joe Pownell, Janelle P Wharry, Priyam Vivek Patki

    This poster represents the results a summer long research project conducted by Timothy Pownell at the Purdue Nuclear Engineering Department. Specifically, the poster details the results and tool that were developed from data on Radiation Induced Segregation of the prospective cladding material...

  4. Building Nanohub Tool "Optical Properties of Single Coaxial Nanowires -LDOS and Purcell Factor"

    14 Aug 2018 | Presentation Materials | Contributor(s):: Sulaiman Abdul-Hadi, Amartya Dutta, Melissa P Cardona, Chen Yang

    My project was to build a simulation tool for Nanohub.org. The tool that I made is called “Optical Properties of Single Coaxial Nanowires -LDOS and Purcell Factor”, or NWLDOS.

  5. A Brief Look at the nanoHUB Contribution Process

    08 Aug 2018 | Presentation Materials

  6. Deep Machine Learning for Machine Performance and Damage Prediction

    08 Aug 2018 | Presentation Materials | Contributor(s):: Elijah Reber, Nickolas D Winovich, Guang Lin

    Deep learning has provided opportunities for advancement in many fields. One such opportunity is being able to accurately predict real world events. Ensuring proper motor function and being able to predict energy output is a valuable asset for owners of wind turbines. In this paper, we look at...

  7. Powder Compaction and Unloading Simulation Poster

    08 Aug 2018 | Presentation Materials | Contributor(s):: Jesse Lee Hoffman, Isabel Bojanini, Melanie Hacopian, Vidal Lopez, Caroline Baker, Marcial Gonzalez

    This poster shows the development process of a tool that simulates the mechanical behavior of a binary mixture during compaction and unloading.

  8. Predicting and Optimizing Solar Cell Performance with Material/Surface Characteristics

    08 Aug 2018 | Presentation Materials | Contributor(s):: Yiheng Zhu, Allison Perna, Peter Bermel

    Renewable energy sources have begun replacing fossil fuels at the utility scale. In particular, photovoltaics has grown rapidly in recent years. To further improve solar technology in terms of cost and efficiency and promote adoption, researchers often seek material and device level...

  9. The Exciton Spectra Simulator of Photosynthetic Protein-pigment Complex

    08 Aug 2018 | Presentation Materials | Contributor(s):: Qifeng Chen, Yongbin Kim, Lyudmila V. Slipchenko

        The solar energy is one of the most successful alternative energy sources because of its unlimited availability and environmental friendliness. However, the energy transfer rate in artificial solar devices is significantly lower than the energy transfer rate in plants and...

  10. Autoencoder for Continuous Representation of Discrete Chemical Data

    08 Aug 2018 | Presentation Materials | Contributor(s):: Mariana Rodriguez, Nicolae C Iovanac, Brett Matthew Savoie

    Fuel cells are a promising alternative energy source that are capable of efficiently producing energy by reacting hydrogen and oxygen to generate clean water vapor as the only byproduct. However, one of the major bottlenecks in fuel cell research is the limited operating range, environmentally...

  11. Grain Boundary Motion Analysis

    08 Aug 2018 | Presentation Materials | Contributor(s):: Jeremy Seiji Marquardt, Xiaorong Cai, Marisol Koslowski

        Grain growth is a mechanism to relax residual stresses in thin films. These grains grow out of the thin film surface and are known as whiskers. These whiskers can cause short circuits, so developing scalable and cost effective solutions would increase the reliability and...

  12. Computational Catalysis with Density Functional Theory

    08 Aug 2018 | Presentation Materials | Contributor(s):: Kevin Greenman, Peilin Liao

    Heterogeneous catalysis is used in a significant portion of production processes in the industrialized world, which makes maximizing the efficiency of catalysts a high priority. However, the immense number of candidates for new catalysts precludes the possibility of testing all of them by...

  13. GUI for the Surface Evolver - Polycrystalline Grain Growth

    08 Aug 2018 | Presentation Materials | Contributor(s):: Kevin K Ngo, Lucas Darby Robinson

    This poster summarizes how the the online simulation tool, GUI for the Surface Evolver, was created as well as how it will impact research in polycrystalline grain growth. Polycrystalline grains have surface energies and tensions associated with them that cause grain boundaries to move...