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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
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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.
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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...
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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...
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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).
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3 min Research Talk: Hierarchical Material Optimization using Neural Networks
29 Oct 2019 | | Contributor(s):: Miguel Arcilla Cuaycong
In this presentation, we sought to use a neural network (NN) to identify optimal arrangements of four different constituents in a tape spring to be used as snapping mechanisms in phase transforming cellular material that can dissipate energy.
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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...
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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...
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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.
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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...
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3 min. Research Talk: Identifying the Dimensionality of Crystal Structures
12 Feb 2020 | | Contributor(s):: Franco Vera
Today, researchers worldwide have identified over 100,000 distinct bulk materials. The underlying dimensionality of these materials is not always clear however, and as such researchers have sought to identify stable, lower dimensional materials derived from the bulk parent structures. A team of...
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3 min. Research Talk: Image Analysis of a Vesicle to Calculate the Bending Modulus
04 Feb 2019 | | Contributor(s):: Pheobe Jane Appel
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3 min. Research Talk: Phase Transforming Cellular Materials
04 Feb 2019 | | Contributor(s):: Valeria Grillo
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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.
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3 min. Research Talk: The Exciton Spectra Simulator of Photosynthetic Protein-pigment Complex
04 Feb 2019 | | Contributor(s):: Qifeng Chen
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A Gentle Introduction to Nanotechnology and Nanoscience
13 Feb 2006 | | Contributor(s):: Mark Ratner
While the Greek root nano just means dwarf, the nanoscale has become a giant focus of contemporary science and technology. We will examine the fundamental issues underlying the excitement involved in nanoscale research - what, why and how. Specific topics include assembly, properties,...
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A Hands-on Introduction to Physics-Informed Neural Networks
20 May 2021 | | Contributor(s):: Ilias Bilionis, Atharva Hans
Can you make a neural network satisfy a physical law? There are two main types of these laws: symmetries and ordinary/partial differential equations. I will focus on differential equations in this short presentation. The simplest way to bake information about a differential equation with neural...
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A Machine Learning Aided Hierarchical Screening Strategy for Materials Discovery
31 Aug 2021 | | Contributor(s):: Anjana Talapatra
In this tutorial, we illustrate this approach using the example of wide band gap oxide perovskites. We will sequentially search a very large domain space of single and double oxide perovskites to identify candidates that are likely to be formable, thermodynamically stable, exhibit insulator...
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A Primer on Scanning Tunneling Microscopy (STM)
04 Apr 2006 | | Contributor(s):: Ron Reifenberger
Scanning Probe Microscopes and their remarkable ability to provide three-dimensional maps of surfaces at the nanometer length scale have arguably been the most important tool in establishing the world-wide emergence of Nanotechnology. In this talk, the fundamental ideas behind the first scanning...
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Active Learning via Bayesian Optimization for Materials Discovery
09 Jun 2021 | | Contributor(s):: Hieu Doan, Garvit Agarwal
In this tutorial, we will demonstrate the use of active learning via Bayesian optimization (BO) to identify ideal molecular candidates for an energy storage application.