Resources (41-60 of 133)

1. 3 min Research Talk: Using Machine Learning for Materials Discovery and Property Prediction

   26 Sep 2019 | | Contributor(s):: Mackinzie S Farnell

   Machine Learning models present a transformative method of optimization and prediction in science and engineering research. In the chemical sciences, unsupervised deep learning models such as autoencoders have shown to be useful for property prediction and material...

2. Agrivoltaic Simulation

   23 Sep 2019 | | Contributor(s):: Hans Torsina, Allison Perna, Peter Bermel

           With the continually increasing food and energy demands which require sustainability, novel solutions in which agrivoltaic (agrophotovoltaic) is a part of are pushed to solve local land shortages and increase land productivity. Compared to...

3. Machine Learning for Property Prediction and Materials Discovery

   20 Sep 2019 | | Contributor(s):: Mackinzie S Farnell, Nicolae C Iovanac, Brett Matthew Savoie

   Machine learning displays excellent potential for generating material property predictions and discovering novel compounds with desirable properties; however, it can be prohibitively costly to obtain data to train machine learning models. This barrier can be overcome by training models to...

4. Web-based Machine Learning Tool for Material Discovery and Property Prediction

   20 Aug 2019 | | Contributor(s):: Bryan Arciniega, Mackinzie S Farnell, Nicolae C Iovanac, Brett Matthew Savoie

   Machine Learning models present a transformative method of optimization and prediction in science and engineering research. In the chemical sciences, unsupervised deep learning models such as autoencoders have shown to be useful for property prediction and material...

5. Plasmonic Core-Multishell Nanowires for Optical Applications

   01 Aug 2019 | | Contributor(s):: Raheem Carless, Amartya Dutta

   LEDs are very useful in today’s society, especially when compared to conventional incandescent and fluorescent lamps. According to the US Department of Energy, by 2027 the use of LEDs could save 348 TWh of electricity, which is the equivalent...

6. Elastoplastic Response of Compacted Pharmaceutical Powder Blends: Model Development, Calibration and Validation.

   01 Aug 2019 | | Contributor(s):: Paul Beckwith, Pedro Henrique Cidreiro Martins, Marcial Gonzalez

   The compaction of granular materials is a common operation in many industrial manufacturing processes, ranging from farming to pharmaceuticals, dietary supplements to diagnostics, and many others. The operation involves combining a mixture of powdered substances into a single bonded compact, or...

7. Hierarchical Material Optimization using Neural Networks

   01 Aug 2019 | | Contributor(s):: Miguel Arcilla Cuaycong, Valeria Grillo, Kristiaan William Hector, Pablo Daniel Zavattieri

   Material structures that occur in nature are commonly made up of complex architectures arranged in a hierarchy. These hierarchical architectures are made up of different structural levels consisting of a unique arrangement of simple constituents, acting as building blocks, that satisfy a local...

8. 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...

9. Ellipsoid Detection Using Matlab Image Processing

   27 Feb 2019 | | Contributor(s):: Gabrielle Kershaw, Charlie Lin, Cheng-wei Tai, Vivek Narsimhan

   The objective of this project was to create code using functions found in MATLAB Image Processing Toolbox, such as edge detection, thresholding, and morphology to isolate the desired ellipsoidal particles in images obtained from experiments. The code was to become a research tool that...

10. Analyzing Tensile Strength and Fracture Behavior in MCC and Lactose Composite Tablets

    27 Feb 2019 | | Contributor(s):: Melanie Hacopian, Marcial Gonzalez, Isabel Bojanini, Vidal Lopez, Jesse Lee Hoffman, Caroline Baker

    Tablets containing various compositions of MCC and Lactose at several relative densities were subjected to fracture and analyzed for tensile strength. Results showed that as the mass fraction of Lactose increased, tensile strength and fracture strength decreased. Analyzing the tensile strength...

11. 3 min. Research Talk: The Exciton Spectra Simulator of Photosynthetic Protein-pigment Complex

    04 Feb 2019 | | Contributor(s):: Qifeng Chen

12. 3 min. Research Talk: Image Analysis of a Vesicle to Calculate the Bending Modulus

    04 Feb 2019 | | Contributor(s):: Pheobe Jane Appel

13. 3 min. Research Talk: Phase Transforming Cellular Materials

    04 Feb 2019 | | Contributor(s):: Valeria Grillo

14. 3 min Research Talk: Deep Machine Learning for Machine Performance & Damage Prediction

    04 Feb 2019 | | Contributor(s):: Elijah Reber

    In this talk, we look at how effective a deep neural network is at predicting the failure or energy output of a wind turbine. A data set was obtained that contained sensor data from 17 wind turbines over 13 months, measuring numerous variables, such as spindle speed and blade position and whether...

15. 3 min Research Talk: Grain Boundary Motion Analysis

    04 Feb 2019 | | Contributor(s):: Jeremy Seiji Marquardt

    This talk aims to present the results of grain boundary motion simulations through a generalized program that streamlines and optimizes the analysis process. Various simulations examining the effects of grain boundary energy and mobility were run through Idaho National Laboratory's...

16. 3 min Research Talk: Ellipsoidal Particle Detection

    31 Jan 2019 | | Contributor(s):: Gabrielle Kershaw

    The objective of this project was to create code using functions found in MATLAB Image Processing Toolbox, such as edge detection, thresholding, and morphology to isolate the desired ellipsoidal particles in images obtained from experiments. The code was to become a research tool that...

17. 3 min Research Talk: GUI for the Surface Evolver – Polycrystalline Grain Growth

    31 Jan 2019 | | Contributor(s):: Kevin K Ngo

    This talk 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 (grow).

18. 3 min Research Talk: Analysis of Radiation Induced Segregation in Fe-Cr-Al Alloys

    31 Jan 2019 | | Contributor(s):: Timothy Joe Pownell

    This presentation gives an overview of the results and tool that were developed from data on Radiation Induced Segregation of the prospective cladding material Fe-Cr-Al.

19. 3 min Research Talk: AFM And EBSD Cross-Comparison Analysis Tool

    31 Jan 2019 | | Contributor(s):: Andrew Martin Krawec

    This talk describes an approach to analyzing the crystal structure using data collected from AFM and EBSD scans to build an accurate image of the crystal structure and orientation in the ceramic

20. 3 min Research Talk: Predicting and Optimizing Solar Cell Performance with Material/Surface Characteristics

    31 Jan 2019 | | Contributor(s):: Yiheng Zhu

    Photovoltaic simulation tools can be utilized to predict device performance before fabrication and experimentation, streamline research processes, and interpret experimental results. Therefore, we developed ContourPV, which simulates various combinations of values of different device...