Software Demonstration and Course Description P.N. Lai.

Slides:



Advertisements
Similar presentations
Open Source Field Operation and Manipulation
Advertisements

Introduction to Computational Chemistry NSF Computational Nanotechnology and Molecular Engineering Pan-American Advanced Studies Institutes (PASI) Workshop.
Science Department Open House Integrating Technology into Science Courses.
Simulation - An Introduction Simulation:- The technique of imitating the behaviour of some situation or system (economic, military, mechanical, etc.) by.
Crystallography, Birkbeck MOLECULAR SIMULATIONS ALL YOU (N)EVER WANTED TO KNOW Julia M. Goodfellow Dynamic Processes: Lecture 1 Lecture Notes.
Amber: How to Prepare Parameters for Non-standard Residues
Lect.3 Modeling in The Time Domain Basil Hamed
Transfer FAS UAS SAINT-PETERSBURG STATE UNIVERSITY COMPUTATIONAL PHYSICS Introduction Physical basis Molecular dynamics Temperature and thermostat Numerical.
Motivation The physics of inertial confinement fusion (ICF) combine hydrodynamics, plasma physics and radiation. One of the important hydrodynamic processes.
Diffusion, Osmosis and the Cell Membrane An introduction to the function of the cell membrane and mechanisms of passive transport by Bob Birch, Fontbonne.
AMBER. AMBER 7 What is AMBER? –A collective name for a suite of programs that allow users to carry out molecular dynamic simulations. –And a set of molecular.
Case Studies Class 5. Computational Chemistry Structure of molecules and their reactivities Two major areas –molecular mechanics –electronic structure.
Enclosure Fire Dynamics
Chemistry 6440 / 7440 Computational Chemistry and Molecular Modeling.
Beowulf Cluster Computing Each Computer in the cluster is equipped with: – Intel Core 2 Duo 6400 Processor(Master: Core 2 Duo 6700) – 2 Gigabytes of DDR.
CE 1501 CE 150 Fluid Mechanics G.A. Kallio Dept. of Mechanical Engineering, Mechatronic Engineering & Manufacturing Technology California State University,
Euler’s Equation in Fluid Mechanics. What is Fluid Mechanics? Fluid mechanics is the study of the macroscopic physical behavior of fluids. Fluids are.
Bioinf. Data Analysis & Tools Molecular Simulations & Sampling Techniques117 Jan 2006 Bioinformatics Data Analysis & Tools Molecular simulations & sampling.
ChE 551 Lecture 19 Transition State Theory Revisited 1.
Computational Chemistry. Overview What is Computational Chemistry? How does it work? Why is it useful? What are its limits? Types of Computational Chemistry.
Empirical energy function Summarizing some points about typical MM force field In principle, for a given new molecule, all force field parameters need.
Computational Biology BS123A/MB223 UC-Irvine Ray Luo, MBB, BS.
Room 2032 China Canada Winnipeg Manitoba.
Institute for Mathematical Modeling RAS 1 Visualization in distributed systems. Overview. Remote visualization means interactive viewing of three dimensional.
RNGs in options pricing Presented by Yu Zhang. Outline Options  What is option?  Kinds of options  Why options? Options pricing Models Monte Carlo.
An Introduction to Programming and Algorithms. Course Objectives A basic understanding of engineering problem solving process. A basic understanding of.
2005 Materials Computation Center External Board Meeting The Materials Computation Center Duane D. Johnson and Richard M. Martin (PIs) Funded by NSF DMR.
Molecular Dynamics Simulations of Diffusion in Polymers Zach Eldridge Department of Mechanical Engineering University of Arkansas Fayetteville, AR
Brookhaven Science Associates U.S. Department of Energy MUTAC Review January 14-15, 2003, FNAL Target Simulations Roman Samulyak Center for Data Intensive.
Quasi - One Dimensional Flow with Heat Addition P M V Subbarao Professor Mechanical Engineering Department I I T Delhi A Gas Dynamic Model for Combustion.
EGEE is a project funded by the European Union under contract IST Advances in the Grid enabled molecular simulator (GEMS) EGEE 06 Conference.
Molecular Reaction Dynamics. Collision Theory of Kinetics With few exceptions, the reaction rate increases with increasing temperature temperature If.
A Technical Introduction to the MD-OPEP Simulation Tools
Understanding Molecular Simulations Introduction
Phase Separation and Dynamics of a Two Component Bose-Einstein Condensate.
 We just discussed statistical mechanical principles which allow us to calculate the properties of a complex macroscopic system from its microscopic characteristics.
Reaction Rates AP chapter Reaction Rates Describe how quickly concentration of reactants or products are changing Units typically  M/  t for aqueous.
Interactive Computational Sciences Laboratory Clarence O. E. Burg Assistant Professor of Mathematics University of Central Arkansas Science Museum of Minnesota.
Numerical Investigation of Hydrogen Release from Varying Diameter Exit
Physical Fluid Dynamics by D. J. Tritton What is Fluid Dynamics? Fluid dynamics is the study of the aforementioned phenomenon. The purpose.
Fang-Bo Yeh, Dept. of Mathematics, Tunghai Univ.2004.Jun.29 1 Financial Derivatives The Mathematics Fang-Bo Yeh Mathematics Department System and Control.
Molecular Modelling - Lecture 2 Techniques for Conformational Sampling Uses CHARMM force field Written in C++
ChE 452 Lecture 25 Non-linear Collisions 1. Background: Collision Theory Key equation Method Use molecular dynamics to simulate the collisions Integrate.
Monte-Carlo Simulations Seminar Project. Task  To Build an application in Excel/VBA to solve option prices.  Use a stochastic volatility in the model.
Javier Junquera Introduction to atomistic simulation methods in condensed matter Alberto García Pablo Ordejón.
Progress on Component-Based Subsurface Simulation I: Smooth Particle Hydrodynamics Bruce Palmer Pacific Northwest National Laboratory Richland, WA.
Application of the MCMC Method for the Calibration of DSMC Parameters James S. Strand and David B. Goldstein The University of Texas at Austin Sponsored.
Organic Macromolecules Objective: 9(A) compare the structures and functions of different types of biomolecules, including carbohydrates, lipids, proteins,
Molecular Dynamics Simulations and the Importance of
Presentation-SC2001 Interactive Molecular Dynamics (IMD) IMD allows the user to guide and receive feedback from a running simulation Our demo illustrates.
Computational Physics (Lecture 11) PHY4061. Variation quantum Monte Carlo the approximate solution of the Hamiltonian Time Independent many-body Schrodinger’s.
A Computational Study of RNA Structure and Dynamics Rhiannon Jacobs and Dr. Harish Vashisth Department of Chemical Engineering, University of New Hampshire,
A Computational Study of RNA Structure and Dynamics Rhiannon Jacobs and Harish Vashisth Department of Chemical Engineering, University of New Hampshire,
Advanced Numerical Techniques Mccormack Technique CFD Dr. Ugur GUVEN.
Overview of Molecular Dynamics Simulation Theory
Predictive Modeling and Simulation of Charge Mobility in 2D Material Based Devices Altaf Karim Department of Physics, COMSATS Institute of Information.
Computational Chemistry
Introduction to VMD (Visual Molecular Dynamics)
Remedial Kinetics and Mechanism
Understanding Biomolecular Systems
Computational Analysis
GENERAL VIEW OF KRATOS MULTIPHYSICS
Protein folding.
For this type of flow, the stagnation temperature is constant, then
Large Time Scale Molecular Paths Using Least Action.
Molecular Mechanics Molecular Dynamics.
Physical Chemistry Chapter VI Interaction between Molecules 2019/5/16
SIMULATION IN THE FINANCE INDUSTRY BY HARESH JANI
Volume 74, Issue 1, Pages (January 1998)
Numerical Investigation of Hydrogen Release from Varying Diameter Exit
Presentation transcript:

Software Demonstration and Course Description P.N. Lai

Presentation Flow MPICH and SPRNG mpiJAVA Gaussian AMBER VMD Recurring High Performance Computing Course

MPICH and SPRNG Himalaya Option Pricing using Monte Carlo and Quasi Monte Carlo Simulation Like an Asian option, the Himalaya is a call on the average performance of the best stocks within the basket. Throughout the life of the option, there are particular measurement dates where the best performer within the basket is removed, and this process is continued until all the assets with the exception of 1 have been removed from the basket. The total return on this last stock is taken as the final measure. The payoff is the sum of all the measured returns over the life of the option. Implemented by HKBU Mathematics Department

mpiJAVA Nozzle This code simulates a 2-D inviscid flow through an axisymmetric nozzle. The simulation yields contour plots of all flow variables, including velocity components, pressure, mach number, density and entropy, and temperature. The plots show the location of any shock wave that would reside in the nozzle. Also, the code finds the steady state solution to the 2-D Euler equations

Gaussian Description Starting from the basic laws of quantum mechanics, Gaussian predicts the energies, molecular structures, and vibrational frequencies of molecular systems, along with numerous molecular properties derived from these basic computation types. It can be used to study molecules and reactions under a wide range of conditions, including both stable species and compounds which are difficult or impossible to observe experimentally such as short-lived intermediates and transition structures.

AMBER – Assisted Model Building with Energy Refinement Description Amber is the collective name for a suite of programs that allow users to carry out molecular dynamics simulations, particularly on biomolecules. The various parts of programs work reasonably well together, and provide a powerful framework for many common calculations.

VMD – Visual Molecular Dynamics VMD is designed for the visualization and analysis of biological systems such as proteins, nucleic acids, lipid bilayer assemblies, etc. It may be used to view more general molecules, as VMD can read standard Protein Data Bank (PDB) files and display the contained structure. VMD provides a wide variety of methods for rendering and coloring molecule. VMD can be used to animate and analyze the trajectory of molecular dynamics (MD) simulations, and can interactively manipulate molecules being simulated on remote computers (Interactive MD).

Recurring High Performance Computing Course Introduction to Linux & PC cluster C Programming (Optional) Parallel Programming using MPI Point to Point Communication Collective Communication Case Studies Software Applications

Time Begin of April Venue SCT 713