University of Florida Thesis Or Dissertation Formatting
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From Cyberinfrastructure to Cyberdiscovery in Materials Science
From Cyberinfrastructure to Cyberdiscovery in Materials Science: Enhancing outcomes in materials research, education and outreach through cyberinfrastructure From Cyberinfrastructure to Cyberdiscovery in Materials Science: Enhancing outcomes in materials research, education and outreach Report from a workshop held in Arlington, Virginia August 3rd- 5th, 2006 Sponsored by the National Science Foundation Professor Simon J. L. Billinge Department of Physics and Astronomy, Michigan State University Professor Krishna Rajan Department of Materials Science and Engineering, Iowa State University Professor Susan B. Sinnott Department of Materials Science and Engineering, University of Florida Steering Committee Prof. Simon Billinge (coChair, Michigan State U) Dr. Ernest Fontes (Cornell/CHESS) Prof. Mark Novotny (Mississippi State U) Prof. Krishna Rajan (coChair, Iowa State U) Prof. Bruce Robinson (U. Washington) Prof. Fred Sachs (SUNY Buffalo), Prof. Susan Sinnott (coChair, U. Florida) Prof. Henning Winter (U Mass, Amherst) Table of Contents 1. Preamble 2. Executive summary and recommendations 3. Cyberinfrastructure revolution through materials evolution 3.1 Introduction 3.2 Extrapolating Moore’s law by materials research 3.3 Revolutions in computing through non traditional architectures and algorithms enabled by materials 4. Materials revolution through cyberinfrastructure evolution 4.1 Materials by design 4.2 Nanostructured materials 4.3 Materials out of equilibrium 4.4 Building research and learning communities 5. Cross-cutting cyberinfrastructure -
Institute for Pure and Applied Mathematics, UCLA Annual Progress Report for 2016-2017 Award #1440415 August 7, 2017
Institute for Pure and Applied Mathematics, UCLA Annual Progress Report for 2016-2017 Award #1440415 August 7, 2017 TABLE OF CONTENTS EXECUTIVE SUMMARY 2 A. PARTICIPANT LIST 3 B. FINANCIAL SUPPORT LIST 3 C. INCOME AND EXPENDITURE REPORT 3 D. POSTDOCTORAL PLACEMENT LIST 4 E. INSTITUTE DIRECTORS’ MEETING REPORT 4 F. PARTICIPANT SUMMARY 15 G. POSTDOCTORAL PROGRAM SUMMARY 16 H. GRADUATE STUDENT PROGRAM SUMMARY 17 I. UNDERGRADUATE STUDENT PROGRAM SUMMARY 18 J. PROGRAM DESCRIPTION 19 K. PROGRAM CONSULTANT LIST 47 L. PUBLICATIONS LIST 49 M. INDUSTRIAL AND GOVERNMENTAL INVOLVEMENT 50 N. EXTERNAL SUPPORT 51 O. COMMITTEE MEMBERSHIP 52 IPAM Annual Report 2016-17 Institute for Pure and Applied Mathematics, UCLA Annual Progress Report for 2016-2017 Award #1440415 August 7, 2017 EXECUTIVE SUMMARY This report covers our activities from June 1, 2016 to June 10, 2017 (which I will refer to as the reporting period). Last year the reporting period ended on May 31. This year, we decided to extend the reporting period to June 10, so the culminating retreat of the spring long program is part of this year’s report, along with the two reunion conferences, which are held the same week. This report includes our 2016 “RIPS” programs, but not 2017. IPAM held two long program in the reporting period: Understanding Many-Particle Systems with Machine Learning Computational Issues in Oil Field Applications IPAM held the following workshops in the reporting period: Turbulent Dissipation, Mixing and Predictability Beam Dynamics Emerging Wireless Networks Big Data Meets Computation Regulatory and Epigenetic Stochasticity in Development and Disease Gauge Theory and Categorification IPAM offers two reunion conferences for each IPAM long program; the first is held a year and a half after the conclusion of the long program, and the second is held one year after the first. -
Evolution of Intrinsic Point Defects in Fluorite-Based Materials: Insights from Atomic-Level Simulation
EVOLUTION OF INTRINSIC POINT DEFECTS IN FLUORITE-BASED MATERIALS: INSIGHTS FROM ATOMIC-LEVEL SIMULATION By DILPUNEET SINGH AIDHY A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA 2009 1 © 2009 Dilpuneet S. Aidhy 2 To my parents with love and gratitude 3 ACKNOWLEDGMENTS At this very juncture of my life, where I now bridge my educational and professional career, I want to take this opportunity to thank some very important people who have made my PhD a wonderful journey. I express my deepest gratitude towards my mentor Prof. Simon Phillpot, whose advising skills, besides scientific knowledge, I find to be exceptional. His enthusiasm towards science, trust and patience with students blended with a great sense of humor has made my PhD thoroughly enjoyable. He has always provided liberty to explore things even not directly related to research and has shared his wisdom. I feel fortunate to have him as an advisor, responsibility of which, he fulfilled perfectly. I also want to thank Dr. Dieter Wolf with whom I have had many thought-provoking discussions from which this thesis has benefited immensely. I have never met a more humble person than him. I admire his love for nature and thank him for stimulating me to explore western US. I also thank Dr. Paul Millet, Dr. Tapan Desai and Srujan, with whom I enjoyed our collaborative work on nuclear materials. Thanks to the friends I made in Idaho, their generosity and warmth softened the blow of Idaho winters. -
A Molecular-Dynamics Study of the Frictional Anisotropy on the 2-Fold
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School 9-16-2008 A Molecular-Dynamics Study of the Frictional Anisotropy on the 2-fold Surface of a d-AlNiCo Quasicrystalline Approximant Heather McRae Harper University of South Florida Follow this and additional works at: https://scholarcommons.usf.edu/etd Part of the American Studies Commons Scholar Commons Citation Harper, Heather McRae, "A Molecular-Dynamics Study of the Frictional Anisotropy on the 2-fold Surface of a d-AlNiCo Quasicrystalline Approximant" (2008). Graduate Theses and Dissertations. https://scholarcommons.usf.edu/etd/280 This Thesis is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. A MolecularDynamics Study of the Frictional Anisotropy on the fold Surface of a dAlNiCo Quasicrystalline Approximant by Heather McRae Harp er A thesis submitted in partial fulllment of the requirements for the degree of Master of Science Department of Physics College of Arts and Sciences University of South Florida Ma jor Professor David Rabson PhD William Matthews Jr PhD Brian Space PhD Matthias Batzill PhD Date of Approval Septemb er Keywords atomistic simulation quasicrystals nanotrib ology contact mechanics ap erio dicity c Copyright Heather McRae Harp er DEDICATION I would like to dedicate this work to my mom for doing everything -
Towards Reality in Nanoscale Materials V
Towards Reality in Nanoscale Materials V 20th — 22nd February 2012 Levi, Lapland, Finland http://trnm.aalto.fi Contents Contents 2 Organizers 8 Support 8 Report 9 Programme 10 Monday 11 Emilio Artacho: Origin of the 2DEG at oxide interfaces, relation with topology and with redox defects, and possible 1DEG . 12 Peter Bøggild: On chip synthesis and characterisation of nanostructures in- and outside TEM . 13 Mojmír Sob: Ab initio study of mechanical and magnetic properties of Mn-Pt compounds and nanocomposites . 14 Simone Borlenghi: Electronic transport and magnetization dynamics in realistic devices: a multiscale approach . 15 Matthew Watkins: Developing realistic models of interfaces from sim- ulation . 17 Clemens Barth: Two-dimensional growth of nanoclusters and molecules on Suzuki surfaces . 19 Kari Laasonen: Reaction studies of Al-O clusters in water . 20 Mark Rayson: Towards large-scale accurate Kohn-Sham DFT for the cost of tight-binding . 21 Patrick Rinke: Towards a unified description of ground and excited state properties: RPA vs GW ....................... 22 Toma Susi: Core level binding energies of defected and functionalized graphene . 23 Sebastian Standop: Spatial Analysis of Ion Beam induced Defects in Graphene . 24 Thomas Chamberlain: Utilizing carbon nanotubes as nanoreactors . 25 Jonas Björk: Molecular self-assembly of covalent nanostructures: Un- ravelingtheir formation mechanisms . 26 3 4 CONTENTS Patrick Philipp: Simulation of defect formation and sputtering of Si(100) surface under low-energy oxygen bombardment using a reactive force field . 27 Tuesday 29 Carsten Busse: Graphene on metal surfaces . 30 Ossi Lehtinen: Detailed structure and transformations of grain bound- aries in graphene . 31 Fabio Pietrucci: Graph theory meets ab-initio molecular dynamics: atomic structures and transformations at the nanoscale . -
Multiscale Computational Understanding and Growth of 2D Materials: a Review
www.nature.com/npjcompumats REVIEW ARTICLE OPEN Multiscale computational understanding and growth of 2D materials: a review ✉ Kasra Momeni1,2,3 , Yanzhou Ji4,5, Yuanxi Wang6,7, Shiddartha Paul 1, Sara Neshani8, Dundar E. Yilmaz9, Yun Kyung Shin9, Difan Zhang5, Jin-Wu Jiang10, Harold S. Park11, Susan Sinnott 5, Adri van Duin9, Vincent Crespi 6,7 and Long-Qing Chen3,4,12,13 The successful discovery and isolation of graphene in 2004, and the subsequent synthesis of layered semiconductors and heterostructures beyond graphene have led to the exploding field of two-dimensional (2D) materials that explore their growth, new atomic-scale physics, and potential device applications. This review aims to provide an overview of theoretical, computational, and machine learning methods and tools at multiple length and time scales, and discuss how they can be utilized to assist/guide the design and synthesis of 2D materials beyond graphene. We focus on three methods at different length and time scales as follows: (i) nanoscale atomistic simulations including density functional theory (DFT) calculations and molecular dynamics simulations employing empirical and reactive interatomic potentials; (ii) mesoscale methods such as phase-field method; and (iii) macroscale continuum approaches by coupling thermal and chemical transport equations. We discuss how machine learning can be combined with computation and experiments to understand the correlations between structures and properties of 2D materials, and to guide the discovery of new 2D materials. We will also provide an outlook for the applications of computational approaches to 2D materials synthesis and growth in general. npj Computational Materials (2020) 6:22 ; https://doi.org/10.1038/s41524-020-0280-2 1234567890():,; INTRODUCTION thermodynamics and kinetics of mass transport, reaction, and The perfection and physical properties of atomically thin two- growth mechanisms during synthesis of 2D materials.