Faster. Smarter. Just Better

Total Page:16

File Type:pdf, Size:1020Kb

Faster. Smarter. Just Better AMPAC Faster. Smarter. Just better. Feature AMPAC 9 MOPAC 2007 Graphical User Interface (GUI) Molecule Building / Viewing ▪ Visual display of properties, surfaces, MOs ▪ Animation of reaction coordinates and vibrations ▪ Gaussian03 – shares common interface ▪ Graphic images for publication ▪ Submit and manage jobs from the GUI ▪ Read pdb files and accurately complete hydrogens ▪ Semiempirical Methods AM1, MNDO, MINDO3, PM3, MNDO/d, RM1, PM6 ▪ ▪ SAM1 (transition metals Fe and Cu), MNDOC ▪ Geometry Optimization and SCF Convergence Automatic Heuristic SCF Convergence ∆ ▪ RHF/UHF ▪ ▪ TRUSTE and TRUSTG geometry optimization ∆ ▪ ▪ Eigenvector Following (EF) ▪ CHN and LTRD transition state location methods ∆ ▪ PATH, IRC for potential surfaces and reaction pathways ▪ Reaction pathway definition ▪ GRID 2D reaction pathway investigation ▪ LFORCE for rapid characterization of TSs and minima ▪ Sparse matrix method for large molecules * ▪ Additional Methods Configuration Interaction (CI) ∆ ▪ Selected State Optimized CI ∆ ▪ Analytic CI Gradients and higher spin multiplicities (20) ∆ ▪ Simulated Annealing for Multiple Minima Searches ▪ AMSOL Method for Solvated Molecules ▪ COSMO Solvation Method ▪ ▪ Tomasi Solvation Method ▪ Property Calculations Thermodynamic Properties ▪ ▪ Unpaired Electron Spin Density ▪ ▪ Population Analysis: Coulson / Mulliken / ESP ▪ ▪ Non-linear Optical Properties ▪ Polymers and solid states ▪ Limited molecular dynamics ▪ Compatibility and Support Fully Compatible with CODESSA™ QSAR Program ▪ Multiple File formats for read/write (mol, mol2, G03, pdf, CIF) ▪ Manual: new, fully updated and indexed in hypertext format ▪ Updating and addition of new features regularly ▪ Customer Support - knowledgeable and available ▪ Generous site-licensing for academics ▪ * Under active development. Common feature enhanced and improved in AMPAC. ∆ AMPAC much faster and more reliable .
Recommended publications
  • Semiempirical Implementations of Molecular
    Semiempirical Implementations of Molecular Orbital Theory How one can make Hartree-Fock theory less computationally intensive without much sacrificing its accuracy? The most demanding step – calculation of two-electron (four-index) integrals (J and K integrals) appearing in the Fock matrix elements (N4 where N is the number of basis functions). One way to save time – to estimate their value accurately in an a priori fashion and thus to avoid numerical integration. Coulomb integrals measure the repulsion between electrons in regions of space defined by the basis functions. When the basis functions in the integral for one electron are very far from the basis functions for the other, the value of that integral will approach zero. In a large molecule, one might be able to avoid the calculation of a very large number of integrals simply by assuming them to be zero. HF theory is intrinsically inaccurate as it does not include correlation energy. Therefore, modifications of the theory introduced in order to simplify its formalism may actually improve it, provided the new approximations somehow introduce an accounting for correlation energy. Most typically, such approximations involve the adoption of a parametric form for some aspect of the calculation where the parameters involved are chosen so as best reproduce experimental data – ‘semiempirical’. Another motivation for introducing semiempirical approximation into HF theory was to facilitate the computation of derivatives (gradients, Hessians) so that geometries could be more efficiently optimized. Extended Hückel Theory Before considering semiempirical methods we revisit Hückel theory: H11 − ES11 H12 − ES12 L H1N − ES1N H21 − ES21 H22 − ES22 L H2N − ES2N = 0 M M O M H − ES H − ES H − ES N1 N1 N2 N 2 L NN NN The dimension of the secular determinant depends on the choice of the basis set.
    [Show full text]
  • Semiempirical Quantum-Chemical Methods Max-Planck-Institut Für
    Max-Planck-Institut für Kohlenforschung This is the peer reviewed version of the following article: WIREs Comput. Mol. Sci. 4, 145-157 (2014), which has been published in final form at https://doi.org/10.1002/wcms.1161. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self- Archived Versions. Semiempirical quantum-chemical methods Walter Thiel Max-Planck-Institut für Kohlenforschung Kaiser-Wilhelm-Platz 1, 45470 Mülheim, Germany [email protected] Abstract The semiempirical methods of quantum chemistry are reviewed, with emphasis on established NDDO-based methods (MNDO, AM1, PM3) and on the more recent orthogonalization-corrected methods (OM1, OM2, OM3). After a brief historical overview, the methodology is presented in non- technical terms, covering the underlying concepts, parameterization strategies, and computational aspects, as well as linear scaling and hybrid approaches. The application section addresses selected recent benchmarks and surveys ground-state and excited-state studies, including recent OM2- based excited-state dynamics investigations. Introduction Quantum mechanics provides the conceptual framework for understanding chemistry and the theoretical foundation for computational methods that model the electronic structure of chemical compounds. There are three types of such approaches: Quantum-chemical ab initio methods provide a convergent path to the exact solution of the Schrödinger equation and can therefore give “the right answer for the right reason”, but they are costly and thus restricted to relatively small molecules (at least in the case of the highly accurate correlated approaches). Density functional theory (DFT) has become the workhorse of computational chemistry because of its favourable price/performance ratio, allowing for fairly accurate calculations on medium-size molecules, but there is no systematic path of improvement in spite of the first-principles character of DFT.
    [Show full text]
  • Semiemprical Methods Chapter 5 Semiemprical Methods
    Semiemprical Methods Chapter 5 Semiemprical Methods Because of the difficulties in applying ab initio methods to medium and large molecules, many semiempirical methods have been developed to treat such molecules. The earliest semiempirical methods treated only the π electrons of conjugated molecules. In the π-electron approximation, the nπ π electrons are treated separately by incorporating the effects of the σ electrons and the nuclei into some sort of effective π- electron Hamiltonian Ĥπ (recall the similar valence-electron approximation where Vi is the potential energy of the ith π electron in the field produced by the nuclei and the σ electrons. The core is everything except the π electrons. The most celebrated semiempirical π-electron theory is the Hückel molecular-orbital (HMO) method, developed in the 1930s to treat planar conjugated hydrocarbons. Here the π-electron Hamiltonian is approximated by the simpler form where Ĥeff(i) incorporates the effects of the π-electron repulsions in an average way. In fact the Hückel method does not specify any explicit form for Ĥeff(i). Since the Hückel π-electron Hamiltonian is the sum of one-electron Hamiltonians, a separation of variables is possible. We have The wave function takes no account of spin or the antisymmetry requirement. To do so, we must put each electron in a spin-orbital ui=ii. The wave function π is then written as a Slater determinant of spin-orbitals. Since Ĥeff(i) is not specified, there is no point in trying to solve above eq. directly. Instead, the variational method is used. The next assumption in the HMO method is to approximate the π MOs as LCAOs.
    [Show full text]
  • Winmostar™ User Manual Release 10.7.0
    Winmostar™ User Manual Release 10.7.0 X-Ability Co., Ltd. Sep 30, 2021 Contents 1 Introduction 2 2 Installation Guide 26 3 Main Window 30 4 Basic Operation Flow 33 5 Structure Building 36 6 Main Menu and Subwindows 43 7 Remote job 183 8 Add-On 191 9 Integration with other software 200 10 Other topics 202 11 Known problems 208 12 Frequently asked questions · Troubleshooting 212 Bibliography 242 i Winmostar™ User Manual, Release 10.7.0 This manual describes the operation method of each function of Winmostar (TM). The latest version of this document is available from Official site. If you are using Winmostar (TM) for the first time, please refer to Quick Manual. If there is an uncertain point or it does not move as expected, please confirm Frequently asked questions · Troubleshooting which is updated from time to time. For specific operational procedures for each purpose, such as chemical reaction analysis and calculation of specific physical properties, see various tutorials. Contents 1 CHAPTER 1 Introduction Winmostar (TM) provides a graphical user interface that can efficiently manipulate quantum chemical calculations, first principles calculations, and molecular dynamics calculations. From the creation of the initial structure, from the calculation execution to the result analysis, you can carry out the one operation required for the simulation on Winmostar (TM). For molecular modeling function it has been confirmed to operate up to 100,000 atoms. The function of MD calculation has been confirmed in a larger system. 1.1 About quotation When announcing data created using Winmostar (TM) in academic presentations, articles, etc., please describe the Winmostar (TM) main body as follows, for example.
    [Show full text]
  • MOPAC Manual (Seventh Edition)
    MOPAC Manual (Seventh Edition) Dr James J. P. Stewart PUBLIC DOMAIN COPY (NOT SUITABLE FOR PRODUCTION WORK) January 1993 This document is intended for use by developers of semiempirical programs and software. It is not intended for use as a guide to MOPAC. All the new functionalities which have been donated to the MOPAC project during the period 1989-1993 are included in the program. Only minimal checking has been done to ensure confor- mance with the donors' wishes. As a result, this program should not be used to judge the quality of programming of the donors. This version of MOPAC-7 is not supported, and no attempt has been made to ensure reliable performance. This program and documentation have been placed entirely in the public domain, and can be used by anyone for any purpose. To help developers, the donated code is packaged into files, each file representing one donation. In addition, some notes have been added to the Manual. These may be useful in understanding the donations. If you want to use MOPAC-7 for production work, you should get the copyrighted copy from the Quantum Chemistry Program Exchange. That copy has been carefully written, and allows the donors' contributions to be used in a full, production-quality program. Contents CONTENTS New Functionalities: • { Michael B. Coolidge, The Frank J. Seiler Research Laboratory, U.S. Air Force Academy, CO 80840, and James J. P. Stewart, Stewart Computational Chemistry, 15210 Paddington Circle, Colorado Springs, CO 80921-2512. (The Air Force code was obtained under the Freedom of Information Act) Symmetry is used to speed up FORCE calculations, and to facilitate the analysis of molecular vibrations.
    [Show full text]
  • Semiempirical Methods
    Chapter 7 Semiempirical Methods 7.1 Introduction Semiempirical methods modify Hartree-Fock (HF) calculations by introducing functions with empirical parameters. These parameters are adjusted with experimen- tal conclusions to improve the quality of computation. The real cost of computation is due to the two-electron integrals in the Hamiltonian that has been simplified in this method. Semiempirical methods are based on three approximation schemes. 1. The elimination of the core electrons from the calculation. Inner electrons do not contribute towards chemical activity, which makes it pos- sible to remove the core electron functions from the Hamiltonian calculation. Normally, the entire core (the nucleus and core electrons) of atoms is replaced by a parameterized function. This has the effect of drastically reducing the com- plexity of the calculation without a major impact on the accuracy. 2. The use of the minimum number of basis sets. In this approximation, while introducing the functions of valence electrons, only the minimum required number of basis sets will be used. This technique also reduces the complexity of computation to a large extent. 3. The reduction of the number of two-electron integrals. This approximation is introduced on the basis of experimentation rather than chemical grounds. The majority of the work in ab initio calculations is in the evaluation of the two electron integrals (Coulomb and exchange). All modern semiempirical methods are based on the modified neglect of differential over- lap (MNDO) approach. In this method, parameters are assigned for different atomic types and are fitted to reproduce properties such as heats of formation, geometrical variables, dipole moments, and first ionization energies.
    [Show full text]
  • CHAPTER I - Introduction * * * ************************************
    (23 Sep 99) ************************************ * * * CHAPTER I - Introduction * * * ************************************ Input Philosophy Input to PC GAMESS may be in upper or lower case. There are three types of input groups in PC GAMESS: 1. A pseudo-namelist, free format, keyword driven group. Almost all input groups fall into this first category. 2. A free format group which does not use keywords. The only examples of this category are $DATA, $ECP, $POINTS, and $STONE. 3. Formatted data. This data is never typed by the user, but rather is generated in the correct format by some earlier PC GAMESS run. All input groups begin with a $ sign in column 2, followed by a name identifying that group. The group name should be the only item appearing on the input line for any group in category 2 or 3. All input groups terminate with a $END. For any group in category 2 and 3, the $END must appear beginning in column 2, and thus is the only item on that input line. Type 1 groups may have keyword input on the same line as the group name, and the $END may appear anywhere. Because each group has a unique name, the groups may be given in any order desired. In fact, multiple occurrences of category 1 groups are permissible. * * * Most of the groups can be omitted if the program defaults are adequate. An exception is $DATA, which is always required. A typical free format $DATA group is $DATA STO-3G test case for water CNV 2 OXYGEN 8.0 STO 3 HYDROGEN 1.0 -0.758 0.0 0.545 STO 3 $END Here, position is important.
    [Show full text]
  • Firefly 8.0.0 Manual
    Firefly 8.0.0 manual Version 2013-11-12 Table of Contents Introduction About this manual Overview of capabilities Firefly and GAMESS (US) Release history Citing Firefly Installing and running Firefly General information Windows Windows MPI implementations Windows and CUDA Linux Linux MPI implementations Linux and CUDA Installing Firefly on 64-bit Linux cluster with InfiniBand network and Intel MPI Command line options Creating an input file Input file structure Chemical control data Computer related control data Formatted input sections Input checking Input preprocessing Performance Introduction 64-bit processing support The P2P communication interface The XP and extended XP parallel modes of execution Utilizing HyperThreading CUDA The Fastdiag dynamic library Fast two-electron integrals code Quantum fast multipole method Output Main output The PUNCH file The IRCDATA file The MCQD files - 1 - Restart capabilities Coordinate types Introduction Cartesian coordinates Z-Matrix and natural internal coordinates Delocalized coordinates Utilizing symmetry Isotopic substitution Basis sets Introduction Built-in basis sets Using pure spherical polarization functions Using an external basis set file Manually specifying a basis set Using effective core potentials Partial linear dependence in a basis set Basis set superposition error (BSSE) correction Starting orbitals General accuracy switches Semi-empirical methods Introduction Available methods Hartree-Fock theory Introduction Restricted Hartree-Fock Unrestricted Hartree-Fock Restricted-open Hartree-Fock
    [Show full text]
  • BROCHURE-2011-Web.Pdf
    Parallel Quantum Solutions WHO ARE WE? Parallel Quantum Solutions (PQS) manufactures parallel computers with integrated software for high-performance computational chemistry. Our offerings have • an exceptional performance/price ratio • are fully configured for parallel computation straight out of the box. Our current product, the QuantumCube™, is aimed primarily at ab initio modeling, but we also offer semiempirical, molecular mechanics and dynamics methods. Our software enables the user to optimize chemical structures and transition states and to predict and display (now optionally including 3D Stereo) properties such as molecular orbitals, charge distributions, electrostatic potentials, vibrational modes and to simulate IR, Raman, VCD and NMR spectra. The high computational demand of ab initio calculations requires parallel processing to achieve reasonably fast turnaround. Our systems, based on personal computer technology, are fully competitive with expensive general purpose parallel computers (see our benchmarks) at a fraction of the cost. They are affordable by individual researchers or small groups. To ensure reliability, we use only high quality parts and technologies. Our systems come with the PQS suite of programs fully configured and ready to use. PQS was founded by Peter Pulay, Jon Baker and Krys Wolinski in 1997. 1 Parallel Quantum Solutions HARDWARE QuantumCube™ clusters Jobs involving large molecules, high levels of theory and many hundreds of basis functions are now commonplace. To meet these high demands all QuantumCube™ clusters are preconfigured for parallel operation and, in combination with the PQS software suite and preinstalled user accounts, are ready for use “straight out of the box.” In addition to our own software, the QuantumCubeTM comes with a wide range of freely available open source computational chemistry software which is installed by default, such as the PSI3 program for high accuracy calculations on small molecules and the NAMD parallel dynamics package.
    [Show full text]
  • Quantum Chemistry at Work (1) Introduction, General Discussion, Methods, Benchmarking
    2nd Penn State Bioinorganic Workshop May/June 2012 Quantum Chemistry at Work (1) Introduction, General discussion, Methods, Benchmarking Frank Neese Max-Planck Institut für Bioanorganische Chemie Stiftstr. 34-36 D-45470 Mülheim an der Ruhr Germany [email protected] 1 Mechanisms-Intermediates-Spectra-Calculations k , K AR-H cat M R-OHB kk11 k kn+1n+1 kk22 kknn I1 I2 In Improve Compare Calculate Imagine! The ORCA Project Density Functional Hartree-Fock Semiempirical LDA, GGA, Hybrid Functionals RHF,UHF,ROHF,CASSCF INDO/S,MNDO,AM1,PM3,NDDO/1 Direct, Semidirect, Conventional, Double hybrid functionals, RI-Approx., Newton-Raphson RI-Approx., Newton-Raphson RKS,UKS,ROKS Join ~10,000 users Electron Correlation Excited States FREE Download MP2/RI-MP2 TD-DFT/CIS+gradients CCSD(T),QCISD(T),CEPA,CPF http://www.thch. MR-CI/DDCI/SORCI (all with and without RI, Local) uni-bonn.de /tc/orca MR-MP2, MR-MP3, MR-MP4(SD) MR-CI, MR-ACPF, MR-AQCC Relativistic Methods Molecular Properties Analytical Gradients(HF,DFT,MP2) + Geometries + Trans. States 1st-5th Order Douglas-Kroll-Hess Polarizabilities, Magnetizabilities (Coupled-Perturbed HF/KS) Zero‘th Order Regular Approximation (ZORA) COSMO Solvation Model Throughout Infinite Order Regular Approximation (IORA) IR, Raman and Resonance Spectra (Numerical Frequencies) Picture Change Effects, All electron basis sets, EPR-Parameters (g,A,D,J,Q) (Effective core potentials) Mössbauer-Parameters (δ,ΔEQ) ABS,CD,MCD Spectra Population Analysis, NBOs, Localization, Multipole Moments,... Advanced Theoretical Spectroscopy with ORCA NRVS XAS/XESAbsorption Mössbauer RIXS Fluo- rescence NMR ORCA MCD/CD ENDOR ESEEM EPR IR Resonance HYSCORE Raman Raman Designing a Computational Chemistry Project Many pathways to happiness ..
    [Show full text]
  • 1 Introduction
    VYSOKÉ UČENÍ TECHNICKÉ V BRNĚ BRNO UNIVERSITY OF TECHNOLOGY FAKULTA CHEMICKÁ ÚSTAV CHEMIE MATERIÁLŮ FACULTY OF CHEMISTRY INSTITUTE OF MATERIALS SCIENCE MOLECULAR MODELLING - STRUCTURE AND PROPERTIES OF CARBENE-BASED CATALYST MOLEKULOVÉ MODELOVÁNÍ - STRUKTURA A VLASTNOSTI KATALYZÁTORŮ NA BÁZI KARBENŮ DIPLOMOVÁ PRÁCE MASTER'S THESIS AUTOR PRÁCE Bc. EVA KULOVANÁ AUTHOR VEDOUCÍ PRÁCE RNDr. LUKÁŠ RICHTERA, Ph.D. SUPERVISOR BRNO 2012 Brno University of Technology Faculty of Chemistry Purkyňova 464/118, 61200 Brno 12 Master's thesis Assignment Number of master's thesis: FCH-DIP0639/2011 Academic year: 2011/2012 Institute: Institute of Materials Science Student: Bc. Eva Kulovaná Study programme: Chemistry, Technology and Properties of Materials (N2820) Study field: Chemistry, Technology and Properties of Materials (2808T016) Head of thesis: RNDr. Lukáš Richtera, Ph.D. Supervisors: Title of master's thesis: Molecular modelling - Structure and Properties of carbene-based catalyst Master's thesis assignment: Several models of carbene compounds will be formed using software for molecular modelling. Geometry optimalization and some spectroscopic properties (UV/Vis spectra) will be computed, possibly prediction of RA, IR and NMR spectra will be performed. Data from optimalized structures like bond lengths and angles will be compared with those gained from CCDC (Cambridge Crystallographic Data Centre). Deadline for master's thesis delivery: 11.5.2012 Master's thesis is necessary to deliver to a secreatry of institute in three copies and in an electronic way to a head of master's thesis. This assignment is enclosure of master's thesis. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Bc. Eva Kulovaná RNDr. Lukáš Richtera, Ph.D. prof. RNDr. Josef Jančář, CSc. Student Head of thesis Head of institute - - - - - - - - - - - - - - - - - - - - - - - In Brno, 15.1.2012 prof.
    [Show full text]
  • Semiempirical, Empirical and Hybrid Methods
    Semiempirical, empirical and hybrid methods G´eraldMONARD Th´eorie - Mod´elisation- Simulation UMR 7565 CNRS - Universit´ede Lorraine Facult´edes Sciences - B.P. 70239 54506 Vandœuvre-les-Nancy Cedex - FRANCE http://www.monard.info Outline 1. Semiempirical QM methods 3 NDDO methods 3 DFTB methods 3 e.g., Organic reaction energies and barriers 2. Empirical Methods 3 Molecular Mechanics (MM) 3 e.g., Protein folding 3. Hybrid methods 3 Combined QM/MM 3 e.g., Reaction free energies in proteins Standard QM algorithm (Hartree-Fock) Roothan Equations (closed shells) 1 c ZAZB Total energy E = ∑∑Pmn [Hmn + Fmn ] + ∑ ∑ 2 m n A B>A RAB occ Density matrix element Pmn = 2 ∑ cmj cnj (cmj : M.O. coefficients) j 1 Fock matrix element F = Hc + P (mnjlh) − (mhjln) mn mn ∑∑ lh 2 l h Z ∗ 1 ∗ bielectronic integrals( mnjlh) = cm (1)cn (1) cl (2)ch (2) dr1dr2 r12 The Roothan equations FC = SCe (e : M.O. eigenvalues) (S : overlap matrix C : M.O. coefficient matrix) Hartree-Fock SCF algorithm 1. Compute mono- and bielectronic integrals O(N4) 2. Build core hamiltonian (invariant) Hc 3. Guess an initial density matrix 4. Build the Fock matrix F 5. Orthogonal transformation using S1=2 O(N3) F0C0 = eC0 6. Diagonalization of the Fock matrix F0 O(N3) The C0 coefficients are obtained 7. Inverse transformation C0 ! C 8. Build the new density matrix O(N3) Back to 4. unless convergence The QM scaling problem energy of a water cluster (3-21G basis set) energy of a water cluster (6-31G* basis set) 3500 B3LYP/3-21G 3500 B3LYP/6-31G* BLYP/3-21G BLYP/6-31G* CCSD(T)/3-21G CCSD(T)/6-31G*
    [Show full text]