Tags: NCN SURF

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  1. Image Analysis of a Vesicle to Calculate the Bending Modulus

    10 Oct 2019 | Contributor(s):: Pheobe Jane Appel, Charlie Lin, Vivek Narsimhan

    The cell membrane is an essential component of living cells; the dynamics of the membrane will provide insight into how a biological cell will react to mechanical strain.  Membrane mechanics are important in a variety of cellular processes like secretion, trafficking, signaling, and storage....

  2. Structural Analysis for Molecular Dynamics Trajectories

    03 Mar 2019 | | Contributor(s):: Nicholas J Finan, Saaketh Desai, Sam Reeve, Alejandro Strachan

    This tool reads in LAMMPS trajectories and performs the following analysis: Radial Distribution Function (RDF), X-Ray Diffraction (XRD), Vibrational Density of States, and  (More to Come!). By default the tool requires trajectory files to be input by the user however there are some...

  3. AFM And EBSD Cross-Comparison Analysis Tool

    14 Aug 2018 | | 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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 Materials...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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 and...

  18. Modeling High-Efficiency Rear Junction Photovoltaic Devices

    07 Aug 2017 | | Contributor(s):: Valerie C Vidal, Allison Perna, Peter Bermel

    Solar cells are a renewable energy technology that has begun to supply energy in many regions of the world at a utility scale. Nonetheless, further improvements in solar technology are still needed to help reduce costs and increase adoption. Many researchers have been particularly interested in...

  19. Predicting Locations of Pollution Sources using Convolutional Neural Networks

    07 Aug 2017 | | Contributor(s):: Yiheng Chi, Nickolas D Winovich, Guang Lin

    Pollution is a severe problem today, and the main challenge in water pollution controls and eliminations is detecting and locating pollution sources. This research project aims to predict the locations of pollution sources given diffusion information of pollution in the form of array or...

  20. PUMP: A tool of global meteorological data for optimizing

    07 Aug 2017 | | Contributor(s):: Binglin Zhao, Xingshu Sun, Muhammad A. Alam

        We have build a PUMP can facilitate the development and optimization of solar farms globally by providing quick access to various meteorological database.      Solar energy is one of the top runners among the renewable energy. The design and...