3 min Research Talk: Web-based Machine Learning Tool for Material Discovery and Property Prediction
26 Sep 2019 | | Contributor(s):: Bryan Arciniega
This model allows the end-user to increase their knowledge on a scarce data set by using a data-rich property set. We also investigate the effect of chemical representation and autoencoder type on property prediction and compound generation.
3 min Research Talk: Plasmonic Core-Multishell Nanowires for Optical Applications
26 Sep 2019 | | Contributor(s):: Raheem Carless
ED lights and technology are being used more often in today’s society. Compared to traditional illumination they are far more reliable and efficient, in the sense that they last longer, are environmentally friendly, and most importantly, they reduce energy waste.
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...
NCN Undergraduate Research Experience 2019 - 3 Minute Research Talks
25 Sep 2019 |
As part of each student's undergraduate research experience, each student gave a 3 minute presentation describing their research work.
3 min. Research Talk: Image Analysis of a Vesicle to Calculate the Bending Modulus
04 Feb 2019 | | Contributor(s):: Pheobe Jane Appel
3 min. Research Talk: Phase Transforming Cellular Materials
04 Feb 2019 | | Contributor(s):: Valeria Grillo
3 min. Research Talk: The Exciton Spectra Simulator of Photosynthetic Protein-pigment Complex
04 Feb 2019 | | Contributor(s):: Qifeng Chen
NCN Undergraduate Research Experience 2018 - 3 Minute Research Talks
04 Feb 2019 |
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...
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...
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...
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.
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).
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
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...
3 min. Research Talk: Computational Catalysis - Creating a User-Friendly Tool for Research and Education
31 Jan 2019 | | Contributor(s):: Kevin Greenman
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...
3 min. Research Talk: Phase Transforming Cellular Materials Simulator
31 Jan 2019 | | Contributor(s):: Gavin Carter
Materials with multiple phases are able to experience a multitude of loading and unloading forces. How the materials reacts is in part due to its geometrical design, along with the material properties. In this project, PXCM’s are utilized for there versatility in design capabilities.
01 Sep 2017 | | Contributor(s):: Becky Wolfe
In this active workshop, you will participate in several activities developed by the Portal to the Public that will help you develop and hone your communication skills.
Questioning in Research: A Practical Guide to Have Cooperative and Constructive Argumentative Dialogue
27 Jun 2017 | | Contributor(s):: Pablo Daniel Zavattieri
In this Lunch and Learn Session we are going to discuss ways to have collaborative and respectful dialogues in academic/scientific research. In particular, we will try to focus on how to question and challenge ideas while respecting our colleagues.
Making the Most of Your Summer Research Experience
13 Jun 2017 | | Contributor(s):: Janelle P Wharry
Students will first work in small groups and will consider an invention that has impacted their lives. They will trace back to the genesis of these inventions as a means of self-realizing the scientific method. Students will learn about the importance of incorporating the scientific...