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Machine learned approximations to Density Functional Theory Hamiltonians - Towards High-Throughput Screening of Electronic Structure and Transport in Materials
13 Dec 2016 | | Contributor(s):: Ganesh Krishna Hegde
We present results from our recent work on direct machine learning of DFT Hamiltonians. We show that approximating DFT Hamiltonians accurately by direct learning is feasible and compare them to existing semi-empirical approaches to the problem. The technique we have proposed requires little...
NEMO5 and 2D Materials: Tuning Bandstructures, Wave Functions and Electrostatic Screening
19 Oct 2016 | | Contributor(s):: Tillmann Christoph Kubis
In this talk, I will briefly discuss the MLWF approach and compare it to DFT and atomistic tight binding. Initial results using the MLWF approach for 2D material based devices will be discussed and compared to experiments. These results unveil systematic band structure changes as functions of...
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 anintroduction to computational modeling, including motivation for studyingthis topic. The Schrödinger Equation is reviewed and its relationship toDensity Functional Theory (DFT) is explained. The...
Introduction to Computational Modeling - Input Parameters for SIESTA Simulation
This instructional video is part 2 in a two part series. It explains how to set up input parameters for the SIESTA simulation tool.
Multiscale Modeling of Graphene-Metal Contacts
01 Feb 2016 | | Contributor(s):: T. Cusati, Gianluca Fiori, A. Fortunelli, Giuseppe Iannaccone
IWCE 2015 presentation. The quality of contacts between metals and two- dimensional materials is a critical aspect for the performance of transistors based on two-dimensional materials. In this talk we focus on an approach to multiscale modeling of graphene- metal contacts, considering both...
Atomistic Modeling: Past, Present, and Future, MGI, ICME, etc.
03 Nov 2015 | | Contributor(s):: Paul Saxe
I will present a perspective on atomistic modeling — tools using quantum methods such as DFT, as well as molecular dynamics and Monte Carlo methods based on forcefields — over the past 30 years or so. While we are all caught up in the present, it is important to remember and realize...
Density Functional Tight Binding (DFTB) Modeling in the Context of Ultra-Thin Silicon-on-Insulator MOSFETs
10 Oct 2015 | | Contributor(s):: Stanislav Markov
IWCE 2015 presentation. We investigate the applicability of density functional tight binding (DFTB) theory , coupled to non-equilibrium Green functions (NEGF), for atomistic simulations of ultra-scaled electron devices, using the DFTB+ code . In the context of ultra-thin...
MSE 498 Lesson 6: DFT
17 Mar 2015 | | Contributor(s):: Andrew Ferguson
This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g., Thermo-Calc), finite...
MSE 498 Lesson 7: DFT
MSE 498 Lesson 8: DFT
MSE 498 Lesson 9: DFT
IMA 2013 UQ: DFT-based Thermal Properties: Three Levels of Error Management
02 Apr 2014 | | Contributor(s):: Kurt Lejaeghere
It is often computationally expensive to predict finite-temperature properties of a crystal from density-functional theory (DFT). The temperature-dependent thermal expansion coefficient α, for example, is calculated from the phonon spectrum, and the melting temperature Tm can only be obtained...
ECE 595E Lecture 24: Electronic Bandstructure Simulation Tools
19 Mar 2013 | | Contributor(s):: Peter Bermel
Outline:Electronic bandstructure labBasic PrinciplesInput InterfaceExemplary OutputsDensity functional theory (DFT)DFT in Quantum ESPRESSO
[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 scienceSubtitle: 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 success...
Computational Investigation of Point Defect Formation and Migration in Nuclear Fuels
08 Mar 2012 | | Contributor(s):: Susan Sinnott
The stabilities of selected fission products are investigated as a function of stoichiometry in uranium oxide. The approach is density functional theory (DFT) that is used to calculate the incorporation and solution energies of solid and gaseous fission products at the anion and cation vacancy...
Density Functional Theory: A great physics success story
01 Mar 2012 | | Contributor(s):: Kieron Burke
Density functional theory began with the work of Thomas and Fermi, at about the same time as Schroedinger wrote his famous equation. I will explain in general terms what density functional theory is and describe some problems of current interest.
Tutorial 1: Atomistic Material Science - ab initio simulations of materials
03 Nov 2011 | | Contributor(s):: Alejandro Strachan
This lecture introduces first principles electronic structure calculations of materials properties.It describes the approximations made to the many-body Schrodinger equation in Hartree Fock and Density Functional Theory and numerical approximations used in computer simulations.
Tutorial 3b: Materials Simulation by First-Principles Density Functional Theory II
14 Sep 2010 | | Contributor(s):: Umesh V. Waghmare
Tutorial 3a: Materials Simulation by First-Principles Density Functional Theory I
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...
Ripples and Warping of Graphene: A Theoretical Study
08 Jun 2010 | | Contributor(s):: Umesh V. Waghmare
We use first-principles density functional theory based analysis to understand formation of ripples in graphene and related 2-D materials. For an infinite graphene, we show that ripples are linked with a low energy branch of phonons that exhibits quadratic dispersion at long wave-lengths. Many...