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Arxiv:Math/0209377V2 [Math.NA] 27 Sep 2002 Nsuyn Hserror
Tommy Kunhung Kim September 2001 Applied Mathematics A Modified Smagorinsky Subgrid Scale Model for the Large Eddy Simulation of Turbulent Flow Abstract In the field of Large Eddy Simulation, the Smagorinsky subgrid scale model (in some form) is the most commonly accepted and used subgrid scale model. The purpose of this paper is to address the main weakness of the Smagorinsky model, its poor perfor- mance near the wall. The goal is to establish a model that corrects the Smagorinsky model near the walls while at the same time minimizing the computational over- head. A version the Dynamic Subgrid Scale model is also incorporated into the finite element code to facilitate comparisons with the new model near the walls. One of the unique characteristics of Large Eddy Simulations as compared to other methods of dealing with turbulent flows is the idea of filtering. In this paper we define arXiv:math/0209377v2 [math.NA] 27 Sep 2002 what a filter is and also address an issue related to filters; the error that results when the filtering and differential operations are interchanged. This error is studied under the context of the Finite Element Method which allows us to focus on the function being filtered rather than the filter kernal function, which has been the usual approach in studying this error. A Modified Smagorinsky Subgrid Scale Model for the Large Eddy Simulation of Turbulent Flow BY Tommy Kunhung Kim B.A. (California State University, Fullerton) 1990 M.A. (California State University, Fullerton) 1992 DISSERTATION Submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Applied Mathematics in the OFFICE OF GRADUATE STUDIES of the UNIVERISTY OF CALIFORNIA arXiv:math/0209377v2 [math.NA] 27 Sep 2002 DAVIS Approved: Committee in Charge 2001 i Abstract In the field of Large Eddy Simulation, the Smagorinsky subgrid scale model (in some form) is the most commonly accepted and used subgrid scale model. -
EMBO Facts & Figures
excellence in life sciences Reykjavik Helsinki Oslo Stockholm Tallinn EMBO facts & figures & EMBO facts Copenhagen Dublin Amsterdam Berlin Warsaw London Brussels Prague Luxembourg Paris Vienna Bratislava Budapest Bern Ljubljana Zagreb Rome Madrid Ankara Lisbon Athens Jerusalem EMBO facts & figures HIGHLIGHTS CONTACT EMBO & EMBC EMBO Long-Term Fellowships Five Advanced Fellows are selected (page ). Long-Term and Short-Term Fellowships are awarded. The Fellows’ EMBO Young Investigators Meeting is held in Heidelberg in June . EMBO Installation Grants New EMBO Members & EMBO elects new members (page ), selects Young EMBO Women in Science Young Investigators Investigators (page ) and eight Installation Grantees Gerlind Wallon EMBO Scientific Publications (page ). Programme Manager Bernd Pulverer S Maria Leptin Deputy Director Head A EMBO Science Policy Issues report on quotas in academia to assure gender balance. R EMBO Director + + A Conducts workshops on emerging biotechnologies and on H T cognitive genomics. Gives invited talks at US National Academy E IC of Sciences, International Summit on Human Genome Editing, I H 5 D MAN 201 O N Washington, DC.; World Congress on Research Integrity, Rio de A M Janeiro; International Scienti c Advisory Board for the Centre for Eilish Craddock IT 2 015 Mammalian Synthetic Biology, Edinburgh. Personal Assistant to EMBO Fellowships EMBO Scientific Publications EMBO Gold Medal Sarah Teichmann and Ido Amit receive the EMBO Gold the EMBO Director David del Álamo Thomas Lemberger Medal (page ). + Programme Manager Deputy Head EMBO Global Activities India and Singapore sign agreements to become EMBC Associate + + Member States. EMBO Courses & Workshops More than , participants from countries attend 6th scienti c events (page ); participants attend EMBO Laboratory Management Courses (page ); rst online course EMBO Courses & Workshops recorded in collaboration with iBiology. -
Thermal & Fluid Sciences Industrial Affiliates and Sponsor Conference
Thermal & Fluid Sciences Industrial Affiliates and Sponsor Conference February 1-3, 2017 DAY 1 SESSION I – PSAAP PROGRAM OVERVIEW: Prof. Gianluca Iaccarino Title: Modeling of particle-laden wall turbulence Authors: Mahdi Esmaily, Hoora Abdehkakha Abstract: The study of particle-laden wall turbulence is of prime importance because of its relevance to numerous engineering and scientific applications. We are particularly interested in this problem because of its relevance to characterization and simulation of particle-based solar receivers. The concept behind this new generation of solar receivers is to collect radiative energy volumetrically through dispersed particles rather than the conventional approach of absorption via a surface. In the design under investigation at our center, we explore this concept by seeding nickel particles in a turbulent flow of air in a square duct and exposing the mixture to radiative heat flux. In this setting, particles are heated through radiation, warming the surrounding air that is used for power generation. To make this design practical, the temperature in the near wall region must be maintained below a certain limit. However, due to a phenomenon called turbophoresis, particles interacting with turbulence migrate toward the solid boundaries and produce very high temperatures at the wall by absorbing a significant amount of radiation in a small region. This high local temperature depends primarily on the particle concentration in the viscous sublayer, which its correct prediction relies on proper modeling of turbophoresis. Hence, in this study, we investigate the effect of various parameters on turbophoresis through direct numerical simulations of turbulent flow laden with Lagrangian point-particles. We consider a flow of air in a square duct at a bulk Reynolds number of 5,000 to 20,000 dispersed with 4- to 16-micron nickel particles. -
Twinscan: a Software Package for Homology-Based Gene Prediction
Washington University in St. Louis Washington University Open Scholarship All Computer Science and Engineering Research Computer Science and Engineering Report Number: WUCSE-2003-8 2003-02-14 Twinscan: A Software Package for Homology-Based Gene Prediction Paul Flicek A complete mapping from genome to proteome would constitute a foundation for genome- based biology and provide targets for pharmaceutical and therapeutic intervention. This is one reason gene structure prediction has been a major subfield of computational biology for vo er 20 years. Many of the widely used gene prediction systems were developed in the 1990s and are unable to take advantage of the revolution in comparative genomics brought on by the sequencing of the entire genomes of an increasing numbers of vertebrates. Twinscan is a new system for high-throughput gene-structure prediction that exploits the patterns of conservation observed in alignments... Read complete abstract on page 2. Follow this and additional works at: https://openscholarship.wustl.edu/cse_research Part of the Computer Engineering Commons, and the Computer Sciences Commons Recommended Citation Flicek, Paul, "Twinscan: A Software Package for Homology-Based Gene Prediction" Report Number: WUCSE-2003-8 (2003). All Computer Science and Engineering Research. https://openscholarship.wustl.edu/cse_research/1126 Department of Computer Science & Engineering - Washington University in St. Louis Campus Box 1045 - St. Louis, MO - 63130 - ph: (314) 935-6160. This technical report is available at Washington University Open Scholarship: https://openscholarship.wustl.edu/ cse_research/1126 Twinscan: A Software Package for Homology-Based Gene Prediction Paul Flicek Complete Abstract: A complete mapping from genome to proteome would constitute a foundation for genome-based biology and provide targets for pharmaceutical and therapeutic intervention. -
Curriculum Vitae PROF. ROBERT D. MOSER Department of Theoretical
Curriculum Vitae PROF. ROBERT D. MOSER Department of Theoretical and Applied Mechanics Telephone : (217)-244-7728 University of Illinois at Urbana-Champaign E-mail: [email protected] 104 S. Wright St. Urbana, IL 61801 EDUCATION Ph.D. in Mechanical Engineering, 1984. Stanford University. Dissertation topic: \Direct numerical simulation of curved turbulent channel flow," Adviser: Parviz Moin M.S. in Mechanical Engineering, 1981. Stanford University. B.S. in Mechanical Engineering, 1978. Mass. Institute of Technology. PROFESSIONAL POSITIONS 6/95-Pres. : Professor of Theoretical and Applied Mechanics, University of Illinois, Urbana, IL. 1/02-6/02 : Visiting Professor, Universidad Politechnica de Madrid, Madrid SPAIN. 8/99-8/00 : Interim Head, Department of Theoretical and Applied Mechanics, University of Illinois, Ur- bana, IL. 4/87-6/95 : Research Scientist, NASA Ames Research Center, Moffett Field CA. 4/85-4/87 : Reservoir Engineer, Sohio Petroleum Co., Dallas, TX. 6/84-4/85 : Research Scientist, NASA Ames Research Center, Moffett Field CA. 6/78-6/80 : Analytical Engineer, Hamilton Standard, Windsor Locks CT. RECENT RESEARCH ACTIVITIES Research interests include: 1) Fundamental studies of turbulence using direct numerical simulations. Recent studies have included: investigation of the non-uniqueness and self-similar scaling of turbulent free shear flows, studies of compressibility effects in wall-bounded turbulent flows, investigation of high-Reynolds number scal- ing of wall-bounded turbulence. 2) Development of large eddy simulation (LES) formulations. 3) Development of high resolution numerical methods for use in computational mechanics. 4) Development of high fidelity numerical models of complex multi-scale multi-physics systems. Specific applications include solid propellant rockets, and the cardiovascular system. -
Lecture Notes in Computational Science and Engineering 56
Lecture Notes in Computational Science and Engineering 56 Editors Timothy J. Barth Michael Griebel David E. Keyes Risto M. Nieminen Dirk Roose Tamar Schlick Stavros C. Kassinos Carlos A. Langer Gianluca Iaccarino Parviz Moin (Eds.) Complex Effects in Large Eddy Simulations With 233 Figures, 51 Colour Plates and 17 Tables ABC Editors Stavros C. Kassinos Gianluca Iaccarino Carlos A. Langer Parviz Moin Department of Mechanical Department of Mechanical Engineering and Manufacturing Engineering Stanford University University of Cyprus Escondido Mall 488 Kallipoleos Street 75 94305-3035 Stanford, USA 1678 Nicosia, Cyprus E-mail: [email protected] E-mail: [email protected] [email protected] [email protected] Library of Congress Control Number: 2006933936 Mathematics Subject Classification (2000): 76F65, 80A32, 76F55, 65C20, 76F50, 76M28, 65M15, 65M50 ISBN-10 3-540-34233-8 Springer Berlin Heidelberg New York ISBN-13 978-3-540-34233-5 Springer Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable for prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com c Springer-Verlag Berlin Heidelberg 2007 The use of general descriptive names, registered names, trademarks, etc. -
DEIXIS Computational Science Graduate Fellowship TABLE of CONTENTS
THE DOE CSGF ANNUAL Department of Energy DEIXIS Computational Science Graduate Fellowship TABLE OF CONTENTS 2003 - 2004 PAGE 6 Editor DEIXIS (∆ΕΙΞΙΣ) transliterated Shelly Olsan from classical Greek into the Roman alphabet, (pronounced da¯ksis) means Design a display, mode or process of proof; Juls Design, Inc. PAGE 29 the process of showing, proving or demonstrating. DEIXIS can also Contributors PAGE 11 refer to the workings of an individual’s Jacob Berkowitz 46 keen intellect, or to the means by which William J. Cannon 4 Alumni Profiles such individuals, e.g. DOE CSGF Victor D. Chase Practicum fellows, are identified. Peter Gwynne Experiences 46 Tom Epperly PAGE 15 Karen Hede 14 Lawrence Livermore DEIXIS is an annual publication Lori Valigra 4High Performance Practica Department of Energy National Laboratory of the Department of Energy Lab Research Computational Science Graduate DEIXIS, The DOE CSGF Annual 4Mary Ann Leung 30 Calculating Quarks 47 Marc Serre Fellowship (DOE CSGF) program. is published by the Krell Institute. The A Calling Realized 14 Unfolding Proteins Brookhaven National Laboratory University of North Carolina – DEIXIS illustrates work done at Krell Institute administers the Department of Energy Computational Science Graduate Lawrence Berkeley Chapel Hill eight multi-program DOE laboratories Fellowship program for the DOE under 8Ahmed Ismail National Laboratory 34 Modeling Metals and highlights the DOE CSGF fellows contract DE-FG02-97ER25308. The Krell Institute is a non-profit company that Challenge of Simplification Los Alamos National Laboratory 48 Scott Zoldi and alumni. The DOE CSGF is works in partnership with national science 18 Studying Structures Fair Isaac Corporation funded by the Office of Science and and technology research and education 10 Randall McDermott 38 STOMPing Ground communities to help them achieve Sandia National Laboratories the National Nuclear Security national priorities. -
Understanding Regulation of Mrna by RNA Binding Proteins Alexander
Understanding Regulation of mRNA by RNA Binding Proteins MA SSACHUSETTS INSTITUTE by OF TECHNOLOGY Alexander De Jong Robertson B.S., Stanford University (2008) LIBRARIES Submitted to the Graduate Program in Computational and Systems Biology in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computational and Systems Biology at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY February 2014 o Massachusetts Institute of Technology 2014. All rights reserved. A A u th o r .... v ..... ... ................................................ Graduate Program in Computational and Systems Biology December 19th, 2013 C ertified by .............................................. Christopher B. Burge Professor Thesis Supervisor A ccepted by ........ ..... ............................. Christopher B. Burge Computational and Systems Biology Ph.D. Program Director 2 Understanding Regulation of mRNA by RNA Binding Proteins by Alexander De Jong Robertson Submitted to the Graduate Program in Computational and Systems Biology on December 19th, 2013, in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computational and Systems Biology Abstract Posttranscriptional regulation of mRNA by RNA-binding proteins plays key roles in regulating the transcriptome over the course of development, between tissues and in disease states. The specific interactions between mRNA and protein are controlled by the proteins' inherent affinities for different RNA sequences as well as other fea- tures such as translation and RNA structure which affect the accessibility of mRNA. The stabilities of mRNA transcripts are regulated by nonsense-mediated mRNA de- cay (NMD), a quality control degradation pathway. In this thesis, I present a novel method for high throughput characterization of the binding affinities of proteins for mRNA sequences and an integrative analysis of NMD using deep sequencing data. -
Deixis Department of Energy Computational Science Graduate Fellowship Science Graduate of Energy Computational Department
THE ANNUAL 2015 DEIXIS DEPARTMENT OF ENERGY COMPUTATIONAL SCIENCE GRADUATE FELLOWSHIP SCIENCE GRADUATE OF ENERGY COMPUTATIONAL DEPARTMENT BRIGHT IDEA Eric Isaacs probes how metal nanoparticles supercharge sunlight’s water-splitting feat PAGE 5 THE ANNUAL DEIXIS TABLE OF CONTENTS DEIXIS, The DOE CSGF Annual is published by the Krell Institute. Krell administers the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program for the DOE under contract DE-FG02-97ER25308. For additional information about the DOE CSGF program, the Krell Institute or topics covered in this publication, please go to: www.krellinst.org/csgf Or contact: Editor, DEIXIS Krell Institute 1609 Golden Aspen Drive, Suite 101 Ames, IA 50010 (515) 956-3696 Copyright 2015 Krell Institute. All rights reserved. 4 22 Practicum Profiles Winning CYSE Essay Summer Application Communicate Your Science DEIXIS (ΔΕΙΞΙΣ — pronounced da¯ksis) transliterated from classical Greek into the Roman alphabet, means 5 Eric Isaacs || Shining a Light on & Engineering Contest a display, mode or process of proof; the process of Water-splitting Reactions 22 Andrew Stershic || Building Batteries showing, proving or demonstrating. DEIXIS can also refer to the workings of an individual’s keen 9 Aurora Pribram-Jones || Putting Theory from the Microstructure Up intellect, or to the means by which such individuals, into Practice, Under Pressure e.g. DOE CSGF fellows, are identified. 13 Aaron Sisto || Conducting Ensembles DEIXIS is an annual publication of the Department of to Ferret Out Features 24 Energy Computational Science Graduate Fellowship Howes Scholar program that highlights the work of fellows and alumni. Matthews Recognized for Leadership DOE CSGF funding is provided by the DOE Office of 16 in Computational Chemistry Advanced Scientific Computing Research (ASCR) within Alumni Profiles the Office of Science and the Advanced Simulation and Computing (ASC) program within the National Nuclear From Alumni to Leaders Security Administration. -
DEIXIS, the DOE CSGF Annual Is Published DEIXIS (ΔΕΙΞΙΣ — Pronounced Da¯Ksis) Manager, Science Media — Bill Cannon and Reduce Carbon Emissions
2021 TOUR DE FORCE Final-year fellow Quentarius Moore looks at how mechanical stress alters chemical reactions. PAGE 16 DEPARTMENT OF ENERGY COMPUTATIONAL SCIENCE GRADUATE FELLOWSHIP SCIENCE GRADUATE COMPUTATIONAL OF ENERGY DEPARTMENT STARS ARE BORN Of galaxies, quantum control and climate change – other fellows share their stories. PAGE 10 WHAT THEY’RE DOING NOW Program alumni search for ways to put germs to work, PLUS: A conversation about store renewable energy and optimize simulations. NERSC’s next big machine, dual Howes winners and more. PAGE 22 Closely packed particles in a colloidal suspension with friction, from a simulation by DOE CSGF alumnus Gerald J. Wang of Carnegie Mellon University. The colors differentiate particle groups whose motions are particularly interrelated, affecting the stickiness of the whole material. Credit: Gerald J. Wang. RECORD-SETTING: THE INCOMING DOE CSGF CLASS For 2021-22, the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) will induct a record- setting class of 32 new fellows attending institutions across the country, from the University of California, San Diego, to the University at Buffalo. Each will learn how to apply high-performance computing to problems of national importance, working in fields that include atmospheric science, condensed matter physics and quantum information. DEPARTMENT OF ENERGY Jezrielle Annis Souradip Ghosh Abigail Poteshman Texas A&M University Carnegie Mellon University University of Chicago Physical Chemistry Computer Science Computational and -
D. J. Bodony 1
D. J. Bodony DANIEL J. BODONY Department of Aerospace Engineering Telephone: 217-244-3844 University of Illinois at Urbana-Champaign, MC-236 http://acoustics.ae.illinois.edu Urbana, IL 61801 E-mail: [email protected] EDUCATION Ph.D., Aeronautics & Astronautics, 2004, Stanford University, Stanford, California. Thesis: Aeroacoustic Prediction of Turbulent Free-Shear Flows M.S., Aeronautics & Astronautics, 1999, Purdue University, West Lafayette, Indiana. Thesis: Turbulence Model Computations of an Axial Vortex. B.S., Aeronautics & Astronautics, 1997, Purdue University, West Lafayette, Indiana. PROFESSIONAL EXPERIENCE Professor August 2020 – Present Department of Aerospace Engineering University of Illinois at Urbana-Champaign, Urbana, Illinois Associate Head and Director of Graduate Studies January 2019 – Present Department of Aerospace Engineering University of Illinois at Urbana-Champaign, Urbana, Illinois Blue Waters Professor January 2014 – Present College of Engineering University of Illinois at Urbana-Champaign, Urbana, Illinois Research Aerospace Engineer and Joint Faculty Fellow October 2018 – Present Vehicle Technology Directorate Army Research Laboratory, Aberdeen Proving Grounds, Aberdeen, Maryland Visiting Professor June 2018 – December 2018 Department of Mechanical Engineering Stanford University, Stanford, California Visiting Professor June 2016 – December 2016 Department of Mechanical Engineering Stanford University, Stanford, California Donald Biggar Willett Faculty Scholar in Engineering April 2016 – Present Department of Aerospace Engineering University of Illinois at Urbana-Champaign, Urbana, Illinois Visiting Professor May 2015 – July 2015 Department of Mechanics KTH Royal Institute of Technology, Stockholm, Sweden Visiting Professor January 2015 – March 2015 Department of Mechanical and Civil Engineering California Institute of Technology, Pasadena, California Associate Professor August 2013 – August 2020 Department of Aerospace Engineering University of Illinois at Urbana-Champaign, Urbana, Illinois 1 D. -
Deixis Department of Energy Computational Science Graduate Fellowship Science Graduate of Energy Computational Department
THE ANNUAL 2012 DEIXIS DEPARTMENT OF ENERGY COMPUTATIONAL SCIENCE GRADUATE FELLOWSHIP SCIENCE GRADUATE OF ENERGY COMPUTATIONAL DEPARTMENT COMPUTATION SHINES IN PHOTOVOLTAICS SEARCH Anubhav Jain’s Practicum Predicts New Energy-Capturing Materials PAGE 5 THE ANNUAL TABLE OF CONTENTS DEIXIS DEIXIS, The DOE CSGF Annual is published by the Krell Institute. Krell administers the Department of Energy Computational Science 13 Graduate Fellowship (DOE CSGF) program for the DOE under contract DE-FG02-97ER25308. 9 For additional information about the DOE CSGF program, the Krell Institute or topics covered 20 22 in this publication, please contact: 26 Editor, DEIXIS Krell Institute 1609 Golden Aspen Drive, Suite 101 Ames, IA 50010 (515) 956-3696 www.krellinst.org/csgf PRIMED TO MEET PRIORITIES 4 20 26 Copyright 2012 Krell Institute. Practicum Profiles Alumni Profiles Winning Essays All rights reserved. The Department of Energy Computational Science Graduate Not Your Usual Summer Internship Alumni Span the Globe Encouraging Communication Fellowship was established to train scientists who can apply the United States’ growing computational power to important national needs, 5 Anubhav Jain 20 Jeffrey Hittinger 26 Kenley Pelzer, DEIXIS (ΔΕΙΞΙΣ — pronounced da¯ksis) transliterated including those of the DOE. This issue of DEIXIS provides examples Research Could Illuminate Livermore Alumnus Winner from classical Greek into the Roman alphabet, means a display, mode or process of proof; the process of of how fellows and alumni do just that. Promising Photovoltaics Fields Hard Problems A Place in the Sun showing, proving or demonstrating. DEIXIS can For example, the department emphasizes the rapid development and Hockey Pucks also refer to the workings of an individual’s keen intellect, or to the means by which such individuals, of innovative materials for clean energy production and conservation.