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An Introduction to Finite Element Analysis of Material Microstructure Properties in nanoHUB
19 Oct 2023 | | Contributor(s):: Yang Dan
In this webinar, Yang will give a brief introduction to the fundamentals of FEA and OOF2, and demonstrate OOF2 simulations of stress distribution in example materials, with and without temperature effect.
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Exploring the Nano World: Building Nanoscale Structures with Polymer Modeler
14 Jul 2023 | | Contributor(s):: Tongtong Shen
In this talk, I will showcase how atomic-level simulations can lead to a more fundamental understanding of PAN crystal structures and guide you through an interactive Polymer Modeler powered by nanoHUB.
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A Condensed Matter Physics class and a Course-Based Undergraduate Research Experience (CURE) with the MIT Atomic-Scale Modeling Toolkit
07 Nov 2022 | | Contributor(s):: David Strubbe
In this presentation, Dr. Strubbe will discuss how he has been using the MIT Atomic-Scale Modeling Toolkit as a part of his undergraduate and graduate class on condensed matter physics. In discussion sections, simulations are performed to illustrate concepts like covalent bonding,...
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Density Functional Theory: Introduction and Applications
07 Nov 2022 | | Contributor(s):: André Schleife
In this webinar, Dr. Schleife will briefly outline the fundamentals of DFT, and demonstrate how to use Quantum Espresso in nanoHUB to compute electronic structure, electronic densities of state, total energies, and bulk modulus for example materials.
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The Materials Simulation Toolkit for Machine Learning (MAST-ML): Automating Development and Evaluation of Machine Learning Models for Materials Property Prediction
06 Oct 2022 | | Contributor(s):: Ryan Jacobs
Hands-on activities, we will use MAST-ML to (1) import materials datasets from online databases and clean and examine our input data, (2) conduct feature engineering analysis, including generation, preprocessing, and selection of features, (3) construct, evaluate and compare the performance of...
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Introduction to a Basic Machine Learning Workflow for Predicting Materials Properties
04 Oct 2022 | | Contributor(s):: Benjamin Afflerbach
This tutorial will introduce core concepts of machine learning through the lens of a basic workflow to predict material bandgaps from material compositions.
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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: 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: 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: 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: 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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Introduction to Computational Modeling - Schrödinger Equation, Density Functional Theory (DFT), Kohn-Sham Method, DFT Code SIESTA
16 Jun 2016 | | Contributor(s):: Lan Li
This instructional video is part 1 in a two part series. It provides an introduction to computational modeling, including motivation for studying this topic. The Schrödinger Equation is reviewed and its relationship to Density Functional Theory (DFT) is explained. The...
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Introduction to Computational Modeling - Input Parameters for SIESTA Simulation
16 Jun 2016 | | Contributor(s):: Lan Li
This instructional video is part 2 in a two part series. It explains how to set up input parameters for the SIESTA simulation tool.
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[Illinois] CSE Seminar Series: Advances in First-principles Computational Materials Science
20 Nov 2012 | | Contributor(s):: Elif Ertekin
Title: Advances in first-principles computational materials science Subtitle: Things we can calculate now, that we couldn't when I was in grad school. The capability to rationally design new materials with tailored properties and functionality on a computer remains a grand challenge whose...
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Application-driven Co-Design: Using Proxy Apps in the ASCR Materials Co-Design Center
31 May 2012 | | Contributor(s):: Jim Belak
Computational materials science is performed with a suite of applications that span the quantum mechanics of interatomic bonding to the continuum mechanics of engineering problems and phenomenon specific models in between. In this talk, we will review this suite and the motifs used in each of the...
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NCN, nanoHUB, HUBzero: cyberinfrastructure for nanotechnology
10 Feb 2011 | | Contributor(s):: Mark Lundstrom
Presentation made at the Workshop to Develop the Global Nanotechnology Network, Grenoble, France.
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Tutorial 3b: Materials Simulation by First-Principles Density Functional Theory II
14 Sep 2010 | | Contributor(s):: Umesh V. Waghmare
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Tutorial 3a: Materials Simulation by First-Principles Density Functional Theory I
14 Sep 2010 | | Contributor(s):: Umesh V. Waghmare
This lecture provides an introduction to first-principles density functional theory based methods for simulation of materials, with a focus on determination of interatomic force constants and vibrational spectra of nano-structures and extended periodic materials.Outline:Phonons, soft...
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Dynamics on the Nanoscale: Time-domain ab initio studies of quantum dots, carbon nanotubes and molecule-semiconductor interfaces
31 Jan 2008 | | Contributor(s):: Oleg Prezhdo
Device miniaturization requires an understanding of the dynamical response of materials on the nanometer scale. A great deal of experimental and theoretical work has been devoted to characterizing the excitation, charge, spin, and vibrational dynamics in a variety of novel materials, including...
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Session 4: Discussion
20 Dec 2007 |
Discussion led by Mark Allendorf, Sandia National Laboratory.