Materials Design and Discovery, and the Challenges of the Materials Genome Nicola Marzari, EPFL

Size: px
Start display at page:

Download "Materials Design and Discovery, and the Challenges of the Materials Genome Nicola Marzari, EPFL"

Transcription

1 Materials Design and Discovery, and the Challenges of the Materials Genome Nicola Marzari, EPFL

2 The good news: Europe at the forefront in codes for materials To name just a few: Quantum- ESPRESSO (Trieste/ Cineca/EPFL), CP2K (UZH), CPMD (IBM Zurich), Abinit (Louvain), VASP (Wien), Castep and Onetep (Cambridge), SIESTA (Madrid), Wien2K (Wien), FLEUR (Julich), ExciUng/ELK (Berlin/Halle) E.g. 700 papers published in 2012 using Q- E

3 materials design

4 Digging for gold

5 5 or shopping for diamonds?

6 Some background on first- principles (i.e. quantum mechanical) materials

7 AROSA, CANTON DES GRISONS, 27 DECEMBER 1925 at the moment i am struggling with a new atomic theory. i am very optimistic about this thing and expect that if I can only solve it, it will be very beautiful. e. schrödinger

8

9 A lab that doubles every 14 months Total computing power in TOP Computing power (FLOPs) /1993 6/1994 6/1995 6/1996 6/1997 6/1998 6/1999 6/2000 6/2001 6/2002 6/2003 6/2004 6/2005 6/2006 6/2007 6/2008 6/2009 6/ / / / / / / / / / / / / / / / / /2009 Jack Dongarra, CCP 2011

10 ! Most cited papers in the history of APS! Journal! #!cites! Title! Author(s)! 1! PRB!(1988)! 39190! Development!of!the!ColleBSalvetti!CorrelationBEnergy!! Lee,!Yang,!Parr! 2! PRL!(1996)! 25452! Generalized!Gradient!Approximation!Made!Simple! Perdew,!Burke,!Ernzerhof! 3! PRA!(1988)! 22904! DensityBFunctional!ExchangeBEnergy!Approximation!...! Becke! 4! PR!(1965)! 20142! SelfBConsistent!Equations!Including!Exchange!and!Correlation!! Kohn!and!Sham! 5! PRB!(1996)!!!13731! Efficient!Iterative!Schemes!for!Ab!Initio!TotalBEnergy!! Kresse!and!Furthmuller! 6! PRB!(1976)! 13160!!!!Special!Points!for!BrillouinBZone!Integrations! Monkhorst!and!Pack! 7! PRB!(1992)! 10876! Accurate!and!Simple!Analytic!Representation!of!the!Electron!! Perdew!and!Wang! 8! PRB!(1999)! 10007! From!Ultrasoft!Pseudopotentials!to!the!Projector!Augmented!! Kresse!and!Joubert! 9! PRB!(1990)! 9840! Soft!SelfBConsistent!Pseudopotentials!in!a!Generalized!! Vanderbilt! 10! PR!(1964)! 9789! Inhomogeneous!Electron!Gas! Hohenberg!and!Kohn! 11! PRB!(1981)! 9787! SelfBInteraction!Correction!to!DensityBFunctional!Approx.!! Perdew!and!Zunger! 12! PRB!(1992)! 9786! Atoms,!Molecules,!Solids,!and!Surfaces!B!Applications!of!the!! Perdew,!Chevary,!! 13! PRB!(1986)! 9313! DensityBFunctional!Approx.!for!the!CorrelationBEnergy!! Perdew! 14! PR!(1934)! 9271! Note!on!an!Approximation!Treatment!for!ManyBElectron!Systems! Moller!and!Plesset! 15! PRB!(1994)! 9100! Projector!AugmentedBWave!Method! Blochl! 16! PRL!(1980)! 7751! GroundBState!of!the!ElectronBGas!by!a!Stochastic!Method! Ceperley!and!Alder! 17! PRL!(1987)!!!!!!7663! Inhibited!Spontaneous!Emission!in!Solid>State!Physics!! Yablonovitch! 18! PRL!(1986)! 7589! Atomic!Force!Microscope! Binnig,!Quate,!Gerber! 19! PRB!(1991)! 7425! Efficient!Pseudopotentials!for!PlaneBWave!Calculations! Troullier!and!Martins! 20! PRB!(1993)! 6925! Ab!initio!Molecular!Dynamics!for!Liquid!Metals! Kresse!and!Hafner! 21! PR!(1961)! 6467! Effects!of!Configuration!Interaction!on!Intensities!and!Phase!Shifts! Fano! 22! PR!(1957)! 6260! Theory!of!Superconductivity! Bardeen,!Cooper,!Schrieffer!!

11 What can first- principles do for me? Fairly straightorward, but *fundamental*: equilibrium structures, thermodynamic stability, thermomechanical properues, electronic structure, energeucs and reacuons Harder: vibrauonal and magneuc spectroscopies (IR, Raman, NMR, EPR), XPS/XANES, BCS superconducuvity, opucal absorpuon, phase diagrams Jedi master: thermal and electrical conducuviues, photoemission spectroscopies accuracy is a key challenge

12 Electrical and thermal transport from first- principles Nanoscale devices for microelectronics (either silicon or carbon based) Bulk or nanostructured thermoelectrics (harvesung waste energy, cooling) Source: Nature Materials

13 Microscopic origin of transport Density- theory hxp:// espresso.org

14 through spectroscopies P.H. Tan et al., Nature Materials (2012)

15 Thermal Si 1- x Ge x J. Garg, N. Bonini, B. Kozinsky and N. Marzari, Phys. Rev. LeX. (2011)

16 Mean free paths: Si 1- x Ge x J. Garg, N. Bonini, B. Kozinsky and N. Marzari, Phys. Rev. LeX. (2011)

17 Engineering high- performance thermoelectrics

18 Making sense of experiments: graphene A. Cepellob, N. Bonini, and N. Marzari (2013) expts from A. Balandin (Nature Materials 2011)

19 ρ e ph (Ω) Theory Experiment (Efetov & Kim) Upper bounds on intrinsic mobility T (K) n (10 13 cm 2 ) (c) T (K) n (10 13 cm 2 ) (d) T (K) Theory T (K) Experiment (Efetov & Kim) C. H. Park, N. Bonini, G. Samzonides, B. Kozinsky, and N. Marzari (2013)

20 How many materials do we know? ICSD (InternaUonal Crystallographic Structure Database): 143,000 entries Very lixle is known for the vast majority of these Basic properues for all of them can be calculated in a few hours on petaflop- class machines

21 Materials design: Once a material property can be calculated accurately from quantum simula@ons, it becomes straightorward to explore rapidly and systema@cally thousands of compounds for improved performance.

22

23 è descriptors è high- throughput searches Courtesy of S. Curtarolo / Nature Materials (2013)

24 Novel ferroelectric perovskites G. Pizzi, A. Cepellob, S. Halilov and in with M. Fornari, G. Ceder, R. Armiento, B. Kozinsky

25 Ferroelectric phase Cubic Orthorhombic Tetragonal Rhombohedral Preliminary results F(T) of rhombohedral phase taken as reference Crossing points where phase transitions occur T (K) DFT Exp T-C O-T R O T C R-O

26 Run computer laboratories with a materials informa@cs platorm: prepare, organize, run, store, datamine, share, repeat Developing AIDA ( Automated Infrastructure and Database for Ab- ini@o calcula@ons - EPFL+Robert Bosch RTC) a librarian: job tracking and organizauon of all present and future acuviues of a group a library: databases of jobs and job results a network of connected libraries: possibility to share databases with of other groups

27 User interface Select: Structure Codes Desired AIDA server Backed up data storage and databases Codes database Structures Database Database: History Permanent results storage Data analysis CSCS Input file Output parser Work submission on clusters User interface

28 AIDA network Clusters Users Group 1 AIDA server Databases Private data Public/shared data Permissions for access to each entry (calcula@on, structure,...) UUIDs associated to each entry Scripts to download/upload entries from/to remote DBs or sync two AIDA DBs Some data shared AIDA server AIDA server Group 2 Some data shared Group 3

29 Rapid and long- term reproducibility of workflows and dependencies

30 Conclusions First- principles have reached accuracy for many (but not all!) materials and materials Intelligent high- throughput searches are the next, natural step, and lead to materials design and discovery laboratories can and should be organized with an infrastructure to organize, run, store, datamine, share, and repeat

The Application of Density Functional Theory in Materials Science

The Application of Density Functional Theory in Materials Science The Application of Density Functional Theory in Materials Science Slide 1 Outline Atomistic Modelling Group at MUL Density Functional Theory Numerical Details HPC Cluster at the MU Leoben Applications

More information

What is Nanophysics: Survey of Course Topics. Branislav K. Nikolić

What is Nanophysics: Survey of Course Topics. Branislav K. Nikolić What is Nanophysics: Survey of Course Topics Branislav K. Nikolić Department of Physics and Astronomy, University of Delaware, Newark, DE 19716, U.S.A. http://wiki.physics.udel.edu/phys824 Definition of

More information

First Step : Identifying Pseudopotentials

First Step : Identifying Pseudopotentials Quantum Espresso Quick Start Introduction Quantum Espresso (http://www.quantum-espresso.org/) is a sophisticated collection of tools for electronic structure calculations via DFT using plane waves and

More information

Introduction to Green s functions

Introduction to Green s functions Introduction to Green s functions Matteo Gatti ETSF Users Meeting and Training Day Ecole Polytechnique - 22 October 2010 Outline 1 Motivation 2 Green s functions 3 The GW Approximation 4 The Bethe-Salpeter

More information

Materials Genome Initiative for Global Competiveness

Materials Genome Initiative for Global Competiveness ( Big ) Data of Materials Science from First Principles -- Critical Role of the Descriptor -- Matthias Scheffler (*) Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin; http://th.fhi-berlin.mpg.de/

More information

Sub-gap conductance fluctuations in superconductor-graphene hybrid nanostructures

Sub-gap conductance fluctuations in superconductor-graphene hybrid nanostructures Sub-gap conductance fluctuations in superconductor-graphene hybrid nanostructures G.Albert, B.Kaviraj, F.Gustavo, F.Lefloch, L.Jansen Laboratoire de Transport Electronique Quantique et Supraconductivité

More information

g 0 = 3 ev Linear a = 0.246nm. constant velocity g 0 ~ 3 ev 0.334nm Interlayer g 1 ~ 0.4 ev Massive Effective mass: Graphene monolayer-bilayer junction Theoretical studies Nakanishi, Koshino, Ando, PRB

More information

Hard Condensed Matter WZI

Hard Condensed Matter WZI Hard Condensed Matter WZI Tom Gregorkiewicz University of Amsterdam VU-LaserLab Dec 10, 2015 Hard Condensed Matter Cluster Quantum Matter Optoelectronic Materials Quantum Matter Amsterdam Mark Golden Anne

More information

HYDROGEN STORAGE MATERIALS A FIRST-PRINCIPLES STUDY SÜLEYMAN ER ISBN / EAN: 978-90-365-2895-5 DOI: 10.3990/1.9789036528955

HYDROGEN STORAGE MATERIALS A FIRST-PRINCIPLES STUDY SÜLEYMAN ER ISBN / EAN: 978-90-365-2895-5 DOI: 10.3990/1.9789036528955 ISBN / EAN: 978-90-365-2895-5 DOI: 10.3990/1.9789036528955 HYDROGEN STORAGE MATERIALS: A FIRST-PRINCIPLES STUDY SÜLEYMAN ER HYDROGEN STORAGE MATERIALS A FIRST-PRINCIPLES STUDY SÜLEYMAN ER HYDROGEN STORAGE

More information

MPCONTRIBS & NMGC/XAS APPS

MPCONTRIBS & NMGC/XAS APPS Patrick Huck, Dan Gunter, Shreyas Cholia, Donald Winston, Alpha N Diaye and Kris;n Persson GCE15: The 10 th Gateway Compu;ng Environments Workshop NCAR Center Green, Boulder, CO 09/30/2015 MPCONTRIBS &

More information

Solid State Theory Physics 545

Solid State Theory Physics 545 Solid State Theory Physics 545 CRYSTAL STRUCTURES Describing periodic structures Terminology Basic Structures Symmetry Operations Ionic crystals often have a definite habit which gives rise to particular

More information

Cloud-WIEN2k. A Scientific Cloud Computing Platform for Condensed Matter Physics

Cloud-WIEN2k. A Scientific Cloud Computing Platform for Condensed Matter Physics Penn State, August 2013 Cloud-WIEN2k A Scientific Cloud Computing Platform for Condensed Matter Physics K. Jorissen University of Washington, Seattle, U.S.A. Supported by NSF grant OCI-1048052 www.feffproject.org

More information

What is molecular dynamics (MD) simulation and how does it work?

What is molecular dynamics (MD) simulation and how does it work? What is molecular dynamics (MD) simulation and how does it work? A lecture for CHM425/525 Fall 2011 The underlying physical laws necessary for the mathematical theory of a large part of physics and the

More information

Thermal unobtainiums? The perfect thermal conductor and the perfect thermal insulator

Thermal unobtainiums? The perfect thermal conductor and the perfect thermal insulator Thermal unobtainiums? The perfect thermal conductor and the perfect thermal insulator David G. Cahill Materials Research Lab and Department of Materials Science and Engineering, U. of Illinois Gratefully

More information

PETITS SYSTEMES THERMOELECTRIQUES: CONDUCTEURS MESOSCOPIQUES ET GAZ D ATOMES FROIDS

PETITS SYSTEMES THERMOELECTRIQUES: CONDUCTEURS MESOSCOPIQUES ET GAZ D ATOMES FROIDS ``Enseigner la recherche en train de se faire Chaire de Physique de la Matière Condensée PETITS SYSTEMES THERMOELECTRIQUES: CONDUCTEURS MESOSCOPIQUES ET GAZ D ATOMES FROIDS Antoine Georges Cycle «Thermoélectricité»

More information

Department of Material Science, University of Milano Bicocca, Milano, Italy 2)

Department of Material Science, University of Milano Bicocca, Milano, Italy 2) Marco Fanciulli 1,2, Enrico Prati 2, Matteo Belli 2, Giovanni Mazzeo 1, Carmen Canevali 1, Alberto Debernardi 2, Guido Petretto 1,2, Marco De Michielis 2, Antonio Vellei 1,2 1) Department of Material Science,

More information

Big Data and Clouds: Challenges and Opportuni5es

Big Data and Clouds: Challenges and Opportuni5es Big Data and Clouds: Challenges and Opportuni5es NIST January 15 2013 Geoffrey Fox gcf@indiana.edu h"p://www.infomall.org h"p://www.futuregrid.org School of Informa;cs and Compu;ng Digital Science Center

More information

Dependence of the thickness and composition of the HfO 2 /Si interface layer on annealing

Dependence of the thickness and composition of the HfO 2 /Si interface layer on annealing Dependence of the thickness and composition of the HfO 2 /Si interface layer on annealing CINVESTAV-UNIDAD QUERETARO P.G. Mani-González and A. Herrera-Gomez gmani@qro.cinvestav.mx CINVESTAV 1 background

More information

Making Sense of Big Data. Dr. Thomas E. Potok Computa2onal Data Analy2cs Group Leader Oak Ridge Na2onal Laboratory potokte@ornl.

Making Sense of Big Data. Dr. Thomas E. Potok Computa2onal Data Analy2cs Group Leader Oak Ridge Na2onal Laboratory potokte@ornl. Making Sense of Big Data Dr. Thomas E. Potok Computa2onal Data Analy2cs Group Leader Oak Ridge Na2onal Laboratory potokte@ornl.gov 865-574- 0834 ORNL s Big Data Legacy Science National Security Energy

More information

Lecture 2 - Semiconductor Physics (I) September 13, 2005

Lecture 2 - Semiconductor Physics (I) September 13, 2005 6.012 - Microelectronic Devices and Circuits - Fall 2005 Lecture 2-1 Lecture 2 - Semiconductor Physics (I) September 13, 2005 Contents: 1. Silicon bond model: electrons and holes 2. Generation and recombination

More information

Research in Nanotechnologies and Sensing

Research in Nanotechnologies and Sensing Eemeli työpaja nro 12, Micronova Research in Nanotechnologies and Sensing Tapani Ryhänen Nokia Research Center, Sensor and Material Technologies Laboratory (Cambridge, Otaniemi, Skolkovo) November 12,

More information

Bytes and BTUs: Holistic Approaches to Data Center Energy Efficiency. Steve Hammond NREL

Bytes and BTUs: Holistic Approaches to Data Center Energy Efficiency. Steve Hammond NREL Bytes and BTUs: Holistic Approaches to Data Center Energy Efficiency NREL 1 National Renewable Energy Laboratory Presentation Road Map A Holistic Approach to Efficiency: Power, Packaging, Cooling, Integration

More information

M. A. Nitti, M. Colasuonno, E. Nappi, A. Valentini

M. A. Nitti, M. Colasuonno, E. Nappi, A. Valentini Performance Analysis of Poly- and Nano-Crystalline Diamond based Photocathodes M. A. Nitti, M. Colasuonno, E. Nappi, A. Valentini INFN - Sezione di Bari - Via Amendola 173, 7126 Bari (Italy) 6 th International

More information

CNAS ASSESSMENT COMMITTEE CHEMISTRY (CH) DEGREE PROGRAM CURRICULAR MAPPINGS AND COURSE EXPECTED STUDENT LEARNING OUTCOMES (SLOs)

CNAS ASSESSMENT COMMITTEE CHEMISTRY (CH) DEGREE PROGRAM CURRICULAR MAPPINGS AND COURSE EXPECTED STUDENT LEARNING OUTCOMES (SLOs) CNAS ASSESSMENT COMMITTEE CHEMISTRY (CH) DEGREE PROGRAM CURRICULAR MAPPINGS AND COURSE EXPECTED STUDENT LEARNING OUTCOMES (SLOs) DEGREE PROGRAM CURRICULAR MAPPING DEFINED PROGRAM SLOs Course No. 11 12

More information

Science Gateways What are they and why are they having such a tremendous impact on science? Nancy Wilkins- Diehr wilkinsn@sdsc.edu

Science Gateways What are they and why are they having such a tremendous impact on science? Nancy Wilkins- Diehr wilkinsn@sdsc.edu Science Gateways What are they and why are they having such a tremendous impact on science? Nancy Wilkins- Diehr wilkinsn@sdsc.edu What is a science gateway? science gateway /sī əәns gāt wā / n. 1. an

More information

New magnetism of 3d monolayers grown with oxygen surfactant: Experiment vs. ab initio calculations

New magnetism of 3d monolayers grown with oxygen surfactant: Experiment vs. ab initio calculations New magnetism of 3d monolayers grown with oxygen surfactant: Experiment vs. ab initio calculations 1. Growth and structure 2. Magnetism and MAE 3. Induced magnetism at oxygen Klaus Baberschke Institut

More information

The influence of graphene curvature on hydrogen adsorption. Sarah Goler

The influence of graphene curvature on hydrogen adsorption. Sarah Goler The influence of graphene curvature on hydrogen adsorption Sarah Goler Laboratorio NEST, Istituto Nanoscienze CNR and Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy Center for Nanotechnology

More information

From Big Data to Real Time Manufacturing Intelligence. Keith Arnold

From Big Data to Real Time Manufacturing Intelligence. Keith Arnold From Big Data to Real Time Manufacturing Intelligence Keith Arnold Agenda Introduction Adaptive Test Background O+ System Architecture Data Feed Forward Questions & Discussion Optimal+ 2014 Company Confidential

More information

Enhanced Research Data Management and Publication with Globus

Enhanced Research Data Management and Publication with Globus Enhanced Research Data Management and Publication with Globus Vas Vasiliadis Jim Pruyne Presented at OR2015 June 8, 2015 Presentations and other useful information available at globus.org/events/or2015/tutorial

More information

Applications of Quantum Chemistry HΨ = EΨ

Applications of Quantum Chemistry HΨ = EΨ Applications of Quantum Chemistry HΨ = EΨ Areas of Application Explaining observed phenomena (e.g., spectroscopy) Simulation and modeling: make predictions New techniques/devices use special quantum properties

More information

Apache Hama Design Document v0.6

Apache Hama Design Document v0.6 Apache Hama Design Document v0.6 Introduction Hama Architecture BSPMaster GroomServer Zookeeper BSP Task Execution Job Submission Job and Task Scheduling Task Execution Lifecycle Synchronization Fault

More information

Electronic transport properties of nano-scale Si films: an ab initio study

Electronic transport properties of nano-scale Si films: an ab initio study Electronic transport properties of nano-scale Si films: an ab initio study Jesse Maassen, Youqi Ke, Ferdows Zahid and Hong Guo Department of Physics, McGill University, Montreal, Canada Motivation (of

More information

Optical Properties of Solids. Claudia Ambrosch-Draxl Chair of Atomistic Modelling and Design of Materials University Leoben, Austria

Optical Properties of Solids. Claudia Ambrosch-Draxl Chair of Atomistic Modelling and Design of Materials University Leoben, Austria Optical Properties of Solids Claudia Ambrosch-Draxl Chair of Atomistic Modelling and Design of Materials University Leoben, Austria Outline Basics Program Examples Outlook light scattering dielectric tensor

More information

Recent development in piezoelectric materials used for actuators and sensors applications

Recent development in piezoelectric materials used for actuators and sensors applications Recent development in piezoelectric materials used for actuators and sensors applications Dragan Damjanovic, Ceramics Laboratory, Materials Institute Swiss Federal Institute of Technology - EPFL Lausanne

More information

GC3 Use cases for the Cloud

GC3 Use cases for the Cloud GC3: Grid Computing Competence Center GC3 Use cases for the Cloud Some real world examples suited for cloud systems Antonio Messina Trieste, 24.10.2013 Who am I System Architect

More information

Dr.B.R.AMBEDKAR OPEN UNVERSITY FACULTY OF SCIENCE M.Sc. I year -CHEMISTRY (2013-14) Course I: Inorganic Chemistry

Dr.B.R.AMBEDKAR OPEN UNVERSITY FACULTY OF SCIENCE M.Sc. I year -CHEMISTRY (2013-14) Course I: Inorganic Chemistry M.Sc. I year -CHEMISTRY (2013-14) Course I: Inorganic Chemistry Maximum Marks 15 Minimum Marks - 06 Section A 1X10=10 Answer any One question from the following Two questions a. What is symmetry operation?

More information

TRANSPORT PROPERTIES OF GRAPHENE IN AND OUT OF THE BULK

TRANSPORT PROPERTIES OF GRAPHENE IN AND OUT OF THE BULK TRANSPORT PROPERTIES OF GRAPHENE IN AND OUT OF THE BULK Jean-Paul Issi Université de Louvain Louvain-la-Neuve Graphene International School, Cargese, October, 2010 PART I ELECTRICAL CONDUCTIVITY PART II

More information

Defects Introduction. Bonding + Structure + Defects. Properties

Defects Introduction. Bonding + Structure + Defects. Properties Defects Introduction Bonding + Structure + Defects Properties The processing determines the defects Composition Bonding type Structure of Crystalline Processing factors Defects Microstructure Types of

More information

Future Paths for Components & Systems

Future Paths for Components & Systems Future Paths for Components & Systems ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE Adrian M. Ionescu Ecole Polytechnique Fédérale de Lausanne Adrian M. Ionescu, ICT 2008, Lyon 1 Summary Introduction: invent

More information

Molecular Dynamics Simulations

Molecular Dynamics Simulations Molecular Dynamics Simulations Yaoquan Tu Division of Theoretical Chemistry and Biology, Royal Institute of Technology (KTH) 2011-06 1 Outline I. Introduction II. Molecular Mechanics Force Field III. Molecular

More information

Nanoelectronics 09. Atsufumi Hirohata Department of Electronics. Quick Review over the Last Lecture

Nanoelectronics 09. Atsufumi Hirohata Department of Electronics. Quick Review over the Last Lecture Nanoelectronics 09 Atsufumi Hirohata Department of Electronics 12:00 Wednesday, 4/February/2015 (P/L 006) Quick Review over the Last Lecture ( Field effect transistor (FET) ): ( Drain ) current increases

More information

SIFMA 2009. Data Center Design. IBM Research. Tom Keller, Austin Lab. Hendrik Hamann, T.J. Watson Lab

SIFMA 2009. Data Center Design. IBM Research. Tom Keller, Austin Lab. Hendrik Hamann, T.J. Watson Lab SIFMA 2009 Securities Industry and Financial Markets Association Technology Conference June 2009 Data Center Design Tom Keller, Austin Lab tkeller@us.ibm.com Hendrik Hamann, T.J. Watson Lab hendrikh@us.ibm.com

More information

Teaching Computational Thinking using Cloud Computing: By A/P Tan Tin Wee

Teaching Computational Thinking using Cloud Computing: By A/P Tan Tin Wee Teaching Computational Thinking using Cloud Computing: By A/P Tan Tin Wee Technology in Pedagogy, No. 8, April 2012 Written by Kiruthika Ragupathi (kiruthika@nus.edu.sg) Computational thinking is an emerging

More information

REACTION RATES DOE-HDBK-1019/1-93 Reactor Theory (Neutron Characteristics) REACTION RATES

REACTION RATES DOE-HDBK-1019/1-93 Reactor Theory (Neutron Characteristics) REACTION RATES REACTION RATES It is possible to determine the rate at which a nuclear reaction will take place based on the neutron lux, cross section or the interaction, and atom density o the target. This relationship

More information

HFM Heat Flow Meter Thermal Conductivity Analyzer

HFM Heat Flow Meter Thermal Conductivity Analyzer HFM Heat Flow Meter Thermal Conductivity Analyzer Introduction An insulating material is a material with low thermal conductivity, which in the construction industry, equipment manufacturing, or the production

More information

2. Research and Development on the Autonomic Operation. Control Infrastructure Technologies in the Cloud Computing Environment

2. Research and Development on the Autonomic Operation. Control Infrastructure Technologies in the Cloud Computing Environment R&D supporting future cloud computing infrastructure technologies Research and Development on Autonomic Operation Control Infrastructure Technologies in the Cloud Computing Environment DEMPO Hiroshi, KAMI

More information

Using GPUs in the Cloud for Scalable HPC in Engineering and Manufacturing March 26, 2014

Using GPUs in the Cloud for Scalable HPC in Engineering and Manufacturing March 26, 2014 Using GPUs in the Cloud for Scalable HPC in Engineering and Manufacturing March 26, 2014 David Pellerin, Business Development Principal Amazon Web Services David Hinz, Director Cloud and HPC Solutions

More information

High Performance Compu2ng Facility

High Performance Compu2ng Facility High Performance Compu2ng Facility Center for Health Informa2cs and Bioinforma2cs Accelera2ng Scien2fic Discovery and Innova2on in Biomedical Research at NYULMC through Advanced Compu2ng Efstra'os Efstathiadis,

More information

Introducing AUDIT-BUDDY

Introducing AUDIT-BUDDY Introducing AUDIT-BUDDY Optimize the Data Center with AUDIT-BUDDY Executive Summary Proper temperature and humidity for the inlet air into the servers is essential to efficient data center operation. Several

More information

Department 10 of Materials Research by Computers Report of 2003-2004. Krzysztof PARLIŃSKI

Department 10 of Materials Research by Computers Report of 2003-2004. Krzysztof PARLIŃSKI Department 10 of Materials Research by Computers Report of 2003-2004 Krzysztof PARLIŃSKI Staff: 1. Prof. Krzysztof Parlinski Head of Department 2. Prof. Andrzej Oleś (part time, from May 2004) 3. Dr Paweł

More information

Five reasons why you need Citrix Essentials for Hyper-V now

Five reasons why you need Citrix Essentials for Hyper-V now Five reasons why you need Citrix Essentials for Hyper-V now This paper explores common challenges associated with server virtualization deployments and the ways Citrix Essentials for Hyper-V together with

More information

Nanoscience Course Descriptions

Nanoscience Course Descriptions Nanoscience Course Descriptions NANO*1000 Introduction to Nanoscience This course introduces students to the emerging field of nanoscience. Its representation in popular culture and journalism will be

More information

High Performance Computing Software as a Service. Integration in KNIME

High Performance Computing Software as a Service. Integration in KNIME High Performance Computing Software as a Service Integration in KNIME CloudBroker GmbH Technoparkstrasse 1, CH-8005 Zurich, Switzerland Phone: +41 44 633 79 34 Email: info@cloudbroker.com Web: http://www.cloudbroker.com

More information

Chapters 2 and 6 in Waseda. Lesson 8 Lattice Planes and Directions. Suggested Reading

Chapters 2 and 6 in Waseda. Lesson 8 Lattice Planes and Directions. Suggested Reading Analytical Methods for Materials Chapters 2 and 6 in Waseda Lesson 8 Lattice Planes and Directions Suggested Reading 192 Directions and Miller Indices Draw vector and define the tail as the origin. z Determine

More information

Fall 2004 Ali Shakouri

Fall 2004 Ali Shakouri University of California at Santa Cruz Jack Baskin School of Engineering Electrical Engineering Department EE-145L: Properties of Materials Laboratory Lab 5b: Temperature Dependence of Semiconductor Conductivity

More information

The Raman Fingerprint of Graphene

The Raman Fingerprint of Graphene The Raman Fingerprint of Graphene A. C. Ferrari 1, J. C. Meyer 2, V. Scardaci 1, C. Casiraghi 1, M. Lazzeri 3, F. Mauri 3, S. Piscanec 1, D. Jiang 4, K. S. Novoselov 4, S. Roth 2, A. K. Geim 4 1 Department

More information

Modification of Graphene Films by Laser-Generated High Energy Particles

Modification of Graphene Films by Laser-Generated High Energy Particles Modification of Graphene Films by Laser-Generated High Energy Particles Elena Stolyarova (Polyakova), Ph.D. ATF Program Advisory and ATF Users Meeting April 2-3, 2009, Berkner Hall, Room B, BNL Department

More information

CRM Form to Web. Internet Lead Capture. Installation Instructions VERSION 1.0 DATE PREPARED: 1/1/2013

CRM Form to Web. Internet Lead Capture. Installation Instructions VERSION 1.0 DATE PREPARED: 1/1/2013 CRM Form to Web Internet Lead Capture Installation Instructions VERSION 1.0 DATE PREPARED: 1/1/2013 DEVELOPMENT: BRITE GLOBAL, INC. 2013 Brite Global, Incorporated. All rights reserved. The information

More information

Simulation of infrared and Raman spectra

Simulation of infrared and Raman spectra Simulation of infrared and Raman spectra, 1 Bernard Kirtman, 2 Michel Rérat, 3 Simone Salustro, 1 Marco De La Pierre, 1 Roberto Orlando, 1 Roberto Dovesi 1 1) Dipartimento di Chimica, Università di Torino

More information

How To Make A Cloud Computer Work For You

How To Make A Cloud Computer Work For You Cloud Computing and Managed Services A CFEngine Special Topics Handbook CFEngine AS Cloud Computing is a new economic approach to computer resource management in which computers can be created and retired

More information

Mechanics in Physics Summary of Faculty Feedback

Mechanics in Physics Summary of Faculty Feedback Mechanics in Physics Summary of Faculty Feedback Knowledge Incubation for TEQIP 23-27/06/2014 Workshop Questions Excellent Good Ordinary Clarity of communication about 33 5 0 workshop Organization of the

More information

X-Rays and Magnetism From Fundamentals to Nanoscale Dynamics

X-Rays and Magnetism From Fundamentals to Nanoscale Dynamics X-Rays and Magnetism From Fundamentals to Nanoscale Dynamics Joachim Stöhr Stanford Synchrotron Radiation Laboratory X-rays have come a long way 1895 1993 10 cm 10 µm 100 nm Collaborators: SSRL Stanford:

More information

CHEMICAL SCIENCES REQUIREMENTS [61-71 UNITS]

CHEMICAL SCIENCES REQUIREMENTS [61-71 UNITS] Chemical Sciences Major Chemistry is often known as the central science because of the key position it occupies in modern science and engineering. Most phenomena in the biological and Earth sciences can

More information

fotoelektron-spektroszkópia Rakyta Péter

fotoelektron-spektroszkópia Rakyta Péter Spin-pálya kölcsönhatás grafénben, fotoelektron-spektroszkópia Rakyta Péter EÖTVÖS LORÁND TUDOMÁNYEGYETEM, KOMPLEX RENDSZEREK FIZIKÁJA TANSZÉK 1 Introduction to graphene Sp 2 hybridization p z orbitals

More information

EMBL Identity & Access Management

EMBL Identity & Access Management EMBL Identity & Access Management Rupert Lück EMBL Heidelberg e IRG Workshop Zürich Apr 24th 2008 Outline EMBL Overview Identity & Access Management for EMBL IT Requirements & Strategy Project Goal and

More information

CSCI 4717 Computer Architecture. Function. Data Storage. Data Processing. Data movement to a peripheral. Data Movement

CSCI 4717 Computer Architecture. Function. Data Storage. Data Processing. Data movement to a peripheral. Data Movement CSCI 4717/5717 Computer Architecture Topic: Functional View & History Reading: Sections 1.2, 2.1, & 2.3 Function All computer functions are comprised of four basic operations: Data processing Data storage

More information

Thermo Scientific ArrayScan XTI High Content Analysis Reader. revolutionizing cell biology with the power of high content

Thermo Scientific ArrayScan XTI High Content Analysis Reader. revolutionizing cell biology with the power of high content Thermo Scientific ArrayScan XTI High Content Analysis Reader revolutionizing cell biology with the power of high content learn more about your cells using high content technology Thermo Scientific High

More information

STATE UNIVERSITY OF NEW YORK COLLEGE OF TECHNOLOGY CANTON, NEW YORK COURSE OUTLINE CHEM 150 - COLLEGE CHEMISTRY I

STATE UNIVERSITY OF NEW YORK COLLEGE OF TECHNOLOGY CANTON, NEW YORK COURSE OUTLINE CHEM 150 - COLLEGE CHEMISTRY I STATE UNIVERSITY OF NEW YORK COLLEGE OF TECHNOLOGY CANTON, NEW YORK COURSE OUTLINE CHEM 150 - COLLEGE CHEMISTRY I PREPARED BY: NICOLE HELDT SCHOOL OF SCIENCE, HEALTH, AND PROFESSIONAL STUDIES SCIENCE DEPARTMENT

More information

BENCHMARKING V ISUALIZATION TOOL

BENCHMARKING V ISUALIZATION TOOL Copyright 2014 Splunk Inc. BENCHMARKING V ISUALIZATION TOOL J. Green Computer Scien

More information

The Total Economic Impact Of SAS Customer Intelligence Solutions Real-Time Decision Manager

The Total Economic Impact Of SAS Customer Intelligence Solutions Real-Time Decision Manager A Forrester Total Economic Impact Study Commissioned By SAS Project Director: Dean Davison May 2014 The Total Economic Impact Of SAS Customer Intelligence Solutions Real-Time Decision Manager Table Of

More information

Building the Clean Energy Super Highway

Building the Clean Energy Super Highway Building the Clean Energy Super Highway The Development of the Global Smart Grid and the Next Innovation Infrastructure A presentation for the Fletcher School of Law & Diplomacy April 25, 2011 Drew Bennett,

More information

Master in Condensed Matter Physics. Master académique

Master in Condensed Matter Physics. Master académique Master in Condensed Matter Physics Master académique 2 " A research centered university with a personal atmosphere and multicultural flair " Students at the University of Luxembourg 3 Do it like Einstein,

More information

Testing in the Cloud. A live demonstration of deploying testing in the cloud. 19-July Sydney, Australia 21-July Melbourne, Australia

Testing in the Cloud. A live demonstration of deploying testing in the cloud. 19-July Sydney, Australia 21-July Melbourne, Australia Testing in the Cloud A live demonstration of deploying testing in the cloud 19-July Sydney, Australia 21-July Melbourne, Australia Using the Cloud: A Practical View into the Cloud world The organisations

More information

Capacitance and Ferroelectrics

Capacitance and Ferroelectrics Ram Seshadri MRL 2031, x6129 seshadri@mrl.ucsb.edu; http://www.mrl.ucsb.edu/ seshadri/teach.html Capacitance and Ferroelectrics A voltage V applied across a capacitor of caacitance C allows a quantity

More information

Managing the Underfill Process in Transient Thermal Environments

Managing the Underfill Process in Transient Thermal Environments IMAPS Device Packaging Conference 009 Flip Chip Track Rev 3 Managing the Underfill Process in Transient Thermal Environments Authors: Steven J Adamson, Dan Ashley, William Hassler, Jared Wilburn Asymtek,

More information

L innovazione tecnologica dell industria italiana verso la visione europea del prossimo futuro

L innovazione tecnologica dell industria italiana verso la visione europea del prossimo futuro L innovazione tecnologica dell industria italiana verso la visione europea del prossimo futuro Mercoledì 2 Aprile 2014 Antonio D Errico, Francesco Testa, Roberto Sabella, Ericsson Silicon Photonics Opportunities

More information

Georgia Tech. Bertrand P. Boussert, PhD

Georgia Tech. Bertrand P. Boussert, PhD Georgia Tech Bertrand P. Boussert, PhD Head of Academic Programs Adjunct professor of Electrical and Computer Engineering Georgia Institute of Technology 23,000 students: 60% undergraduate 40% graduate

More information

X-ray photoelectron. Ba 0.5 Sr 0.5 Co 0.8 Fe 0.2 O 3 δ and La 0.6 Sr 0.4 Co 0.2 Fe 0.8 O 3 δ before and after thermal treatment and permeation test

X-ray photoelectron. Ba 0.5 Sr 0.5 Co 0.8 Fe 0.2 O 3 δ and La 0.6 Sr 0.4 Co 0.2 Fe 0.8 O 3 δ before and after thermal treatment and permeation test study on Ba 0.5 Sr 0.5 Co 0.8 Fe 0.2 O 3 δ and La 0.6 Sr 0.4 Co 0.2 Fe 0.8 O 3 δ before and after thermal treatment and permeation test Patrizia Rosa 1 1 Dipartimenti di Fisica Università degli Studi di

More information

Introduction. What Can an Offline Desktop Processing Tool Provide for a Chemist?

Introduction. What Can an Offline Desktop Processing Tool Provide for a Chemist? Increasing Chemist Productivity in an Open-Access Environment Ryan Sasaki, Graham A. McGibbon, Steve Hayward Featuring ACD/Spectrus Processor and Aldrich Library for ACD/Labs Advanced Chemistry Development,

More information

LNG Monitoring. Fiber-Optic Leakage Detection System. Pipeline leakage detection. Regasification and liquefaction monitoring

LNG Monitoring. Fiber-Optic Leakage Detection System. Pipeline leakage detection. Regasification and liquefaction monitoring LNG Monitoring Fiber-Optic Leakage Detection System Pipeline leakage detection Regasification and liquefaction monitoring Tank annulus and base slab monitoring Spill containment control Intelligent Solutions

More information

From Art to Science. Using analytical tools and techniques to better understand, control and optimise Food Manufacturing Processes

From Art to Science. Using analytical tools and techniques to better understand, control and optimise Food Manufacturing Processes From Art to Science Using analytical tools and techniques to better understand, control and optimise Food Manufacturing Processes Working together for a healthy future BCCC Conference April 2011 From Art

More information

Figure 2: System Flow Diagram for Workflow Management

Figure 2: System Flow Diagram for Workflow Management 5. WORKFLOW MANAGEMENT The developed system EASKB uses the open source content management system called Drupal ([2]). A Content Management System - CMS is a tool that enables many user friendly features

More information

Pathways of Li + ion mobility in superionic perovskites by ab initio simulations

Pathways of Li + ion mobility in superionic perovskites by ab initio simulations Pathways of Li + ion mobility in superionic perovskites by ab initio simulations Michele Catti Dipartimento di Scienza dei Materiali, Università di Milano Bicocca, Milano, Italy (catti@mater.unimib.it)

More information

Basics Value Next Steps

Basics Value Next Steps Selling TALK Basics Value Next Steps Basics Value Next Steps Terms The Tridium Niagra JACE Java Application Control Engine Tridium = Company Niagara Framework = Technology JACE Controller = Java application

More information

Heat Treatment of Steel

Heat Treatment of Steel Heat Treatment of Steel Steels can be heat treated to produce a great variety of microstructures and properties. Generally, heat treatment uses phase transformation during heating and cooling to change

More information

Summary. Introduction... 1 Troubles found and solution propose... 1 Architecture... 3 Tests... 8 References... 15

Summary. Introduction... 1 Troubles found and solution propose... 1 Architecture... 3 Tests... 8 References... 15 MrCirrus Azure. Map-Reduce in high level bioinfo clouds (v 1.0) Óscar Torreño Tirado Daniel Luis Ramet Barea Coordinators: Oswaldo Trelles, Johan Karlsson University of Málaga Computer Architecture Dept.

More information

Explain the ionic bonds, covalent bonds and metallic bonds and give one example for each type of bonds.

Explain the ionic bonds, covalent bonds and metallic bonds and give one example for each type of bonds. Problem 1 Explain the ionic bonds, covalent bonds and metallic bonds and give one example for each type of bonds. Ionic Bonds Two neutral atoms close to each can undergo an ionization process in order

More information

Report of the DTL focus meeting on Life Science Data Repositories

Report of the DTL focus meeting on Life Science Data Repositories Report of the DTL focus meeting on Life Science Data Repositories Goal The goal of the meeting was to inform and discuss research data repositories for life sciences. The big data era adds to the complexity

More information

OS/Run'me and Execu'on Time Produc'vity

OS/Run'me and Execu'on Time Produc'vity OS/Run'me and Execu'on Time Produc'vity Ron Brightwell, Technical Manager Scalable System SoAware Department Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation,

More information

SIMPLIFYING BIG DATA Real- &me, interac&ve data analy&cs pla4orm for Hadoop NFLABS

SIMPLIFYING BIG DATA Real- &me, interac&ve data analy&cs pla4orm for Hadoop NFLABS SIMPLIFYING BIG DATA Real- &me, interac&ve data analy&cs pla4orm for Hadoop NFLABS Did you know? Founded in 2011, NFLabs is an enterprise software c o m p a n y w o r k i n g o n developing solutions to

More information

THE PROFILE OF PROFESSOR JAN STANKOWSKI - FAMILY AND SCIENTIFIC REMEMBRANCES

THE PROFILE OF PROFESSOR JAN STANKOWSKI - FAMILY AND SCIENTIFIC REMEMBRANCES Current Topics in Biophysics 2010, vol. 33 (suppl A), 6-11 THE PROFILE OF PROFESSOR JAN STANKOWSKI - FAMILY AND SCIENTIFIC REMEMBRANCES MAŁGORZATA TRYBUŁA, ZBIGNIEW TRYBUŁA Institute of Molecular Physics

More information

A Systematic Approach to Business Process Improvement

A Systematic Approach to Business Process Improvement A Systematic Approach to Business Process Improvement A Systematic Approach There are experts that help organizations improve productivity through a variety of techniques. Business process analysis and

More information

TERMS AND CONDITIONS RESEARCH INITIATION FELLOWSHIPS (2 nd Call)

TERMS AND CONDITIONS RESEARCH INITIATION FELLOWSHIPS (2 nd Call) TERMS AND CONDITIONS RESEARCH INITIATION FELLOWSHIPS (2 nd Call) IMDEA Materials Institute (Madrid Institute for Advanced Studies of Materials) is a nonprofit independent research organization promoted

More information

DISTANCE DEGREE PROGRAM CURRICULUM NOTE:

DISTANCE DEGREE PROGRAM CURRICULUM NOTE: Bachelor of Science in Electrical Engineering DISTANCE DEGREE PROGRAM CURRICULUM NOTE: Some Courses May Not Be Offered At A Distance Every Semester. Chem 121C General Chemistry I 3 Credits Online Fall

More information

Digging for Gold: Business Usage for Data Mining Kim Foster, CoreTech Consulting Group, Inc., King of Prussia, PA

Digging for Gold: Business Usage for Data Mining Kim Foster, CoreTech Consulting Group, Inc., King of Prussia, PA Digging for Gold: Business Usage for Data Mining Kim Foster, CoreTech Consulting Group, Inc., King of Prussia, PA ABSTRACT Current trends in data mining allow the business community to take advantage of

More information

LABORATORY EXPERIMENTS TESTING OF MATERIALS

LABORATORY EXPERIMENTS TESTING OF MATERIALS LABORATORY EXPERIMENTS TESTING OF MATERIALS 1. TENSION TEST: INTRODUCTION & THEORY The tension test is the most commonly used method to evaluate the mechanical properties of metals. Its main objective

More information

R&D from material preparation up to next generation manufacturing: opportunities for local companies

R&D from material preparation up to next generation manufacturing: opportunities for local companies R&D from material preparation up to next generation manufacturing: opportunities for local companies Prof. Christophe Ballif EPFL,IMT, PV-Lab and CSEM CSEM, PV-center 2000 Neuchâtel PV industry Ultra-low

More information

A Load Balancing Algorithm based on the Variation Trend of Entropy in Homogeneous Cluster

A Load Balancing Algorithm based on the Variation Trend of Entropy in Homogeneous Cluster , pp.11-20 http://dx.doi.org/10.14257/ ijgdc.2014.7.2.02 A Load Balancing Algorithm based on the Variation Trend of Entropy in Homogeneous Cluster Kehe Wu 1, Long Chen 2, Shichao Ye 2 and Yi Li 2 1 Beijing

More information

NMR and IR spectra & vibrational analysis

NMR and IR spectra & vibrational analysis Lab 5: NMR and IR spectra & vibrational analysis A brief theoretical background 1 Some of the available chemical quantum methods for calculating NMR chemical shifts are based on the Hartree-Fock self-consistent

More information