Tags: undergraduate research

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  1. Powder Compaction and Unloading Simulation Poster

    08 Aug 2018 | 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.

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

    08 Aug 2018 | 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...

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

    08 Aug 2018 | 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...

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

    08 Aug 2018 | 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...

  5. Deep Machine Learning for Machine Performance and Damage Prediction

    08 Aug 2018 | 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...

  6. Computational Catalysis with Density Functional Theory

    08 Aug 2018 | 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...

  7. Grain Boundary Motion Analysis

    08 Aug 2018 | 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...

  8. GUI for the Surface Evolver - Polycrystalline Grain Growth

    08 Aug 2018 | 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...

  9. Débora Jimena Mendoza Silva

    Chemistry Undergradute Student

    http://nanohub.org/members/201649

  10. Understanding Powder Compaction Using Single Particle Measurement

    23 Oct 2017 | Contributor(s):: Wentao Chen, Ankit Agarwal, Marcial Gonzalez

    Powder compaction is the process of transforming granular media into a solid body with a high relative density (low porosity) and a unique anisotropic microstructure. It is critical to understand the physical mechanisms of the compaction process in order to identify powder properties and optimal...

  11. Quantum Dot Lab - A Novel Visualization Tool using Jupyter

    09 Oct 2017 | | Contributor(s):: Khaled Aboumerhi

    As semiconductor devices scale down into the nano regime, deep understanding of quantum mechanical properties of nano-structures become increasingly essential. Quantum dots are famous examples of such nano-structures. Quantum dots have attracted a lot of attention over the last two decades due...

  12. Modelling of Phase Transforming Cellular Material (PXCM)

    28 Aug 2017 | | Contributor(s):: Chidubem Nuela Enebechi, Yunlan Zhang, David Restrepo Arango, Pablo Daniel Zavattieri, Nilesh Mankame

    Phase transforming cellular materials (PXCMs) are a new class of materials that can go through large deformation and return to their original configuration. Currently, there are reliable cellular materials that can resist large deformation, for example, honey comb; however, when these materials...

  13. Electronic and Thermoelectric Characterization of Materials from Ab Initio Calculations

    15 Aug 2017 | | Contributor(s):: Gustavo Javier, David M Guzman, Austin Jacob Zadoks, Alejandro Strachan

    We present the Optimized Workflow for Electronic and Thermoelectric Properties (OWETP) python notebook, which uses Density Functional Theory (DFT) as implemented in the Quantum Espresso code for electronic properties of materials. The OWETP python notebook also enables connecting to the...

  14. Analytical Solution of Microbes Interacting with Surfaces

    14 Aug 2017 | | Contributor(s):: Junyuan Li, Vaseem Shaik, Arezoo Ardekani

    The biological or medical related problems are among the most heated topics in scientific field. There is a rising interest in studying the behavior of microbes and their interactions with flow. In order to explore the velocity fields, pressures and forces around the microbes, the solution of...

  15. Applying Machine Learning to Computational Chemistry: Can We Predict Molecular Properties Faster without Compromising Accuracy?

    14 Aug 2017 | | Contributor(s):: Hanjing Xu, Pradeep Kumar Gurunathan

    Non-covalent interactions are crucial in analyzing protein folding and structure, function of DNA and RNA, structures of molecular crystals and aggregates, and many other processes in the fields of biology and chemistry. However, it is time and resource consuming to calculate such interactions...

  16. Parallel Computation using MEMS Oscillator-based Computing System

    14 Aug 2017 | | Contributor(s):: Xinrui Wang

    In recent years, parallel computing systems such as artificial neural networks (ANNs) have been of great interest. In these systems which emulate the behavior of human brains, the processing is carried out simultaneously. However, it is still a challenging engineering problem to design highly...

  17. RadCool: a Web-enabled Simulation Tool for Radiative Cooling

    14 Aug 2017 | | Contributor(s):: Yu-wen (Wendy) Lin, Evan L Schlenker, Zhou Zhiguang, Peter Bermel

    Thermophotovoltaic (TPV) systems can generate electricity from high-temperature heat sources via thermal radiation. However, the intense heating of a photovoltaic (PV) cell can greatly reduce the overall efficiency of the system. Therefore, it is critical to develop techniques to keep the PV...

  18. Characterization of Avicel and Acetaminophen Powder Mixtures

    07 Aug 2017 | | Contributor(s):: Danyal Cave, Yasasvi Raghavendra Bommireddy, Marcial Gonzalez

    This research addresses a way to try and bring pharmaceutical prices down, improve development by only creating a few tablets to study, which in return saves money and create better quality tablets.

  19. Development of a NanoHUB Tool: Mechanical Features of Crystalline Nano Cellulose

    07 Aug 2017 | | Contributor(s):: Joshua Leonardo, Mehdi Shishehbor, Pablo Daniel Zavattieri

    In the past decade, many researchers have studied mechanical properties of polymer reinforced nanocomposites to understand and improve the performance of materials. In this research, we would develop a tool that would conduct a mechanical test on structures of a nanocomposite called Crystalline...

  20. Dynamic Failure of Polymer-Bonded Explosives under Periodic Excitation

    07 Aug 2017 | | Contributor(s):: Rachel Katherine Kohler, Camilo Alberto Duarte, Marisol Koslowski

    Accidental mishandling of explosive materials leads to thousands of injuries in the US every year. Understanding the mechanisms behind the detonation process is crucial to prevent such accidents. In polymer-bonded explosives (PBX), high-frequency mechanical excitation generates thermal energy...