Manual for the MRCC Program System
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Molecular Sciences Software Institute
The Molecular Sciences Software Institute T. Daniel Crawford, Cecilia Clementi, Robert Harrison, Teresa Head-Gordon, Shantenu Jha*, Anna Krylov, Vijay Pande, and Theresa Windus http://molssi.org S2I2 HEP/CS Workshop at NCSA/UIUC 07 Dec, 2016 1 Outline • Space and Scope of Computational Molecular Sciences. • “State of the art and practice” • Intellectual drivers • Conceptualization Phase: Identifying the community and needs • Bio-molecular Simulations (BMS) Conceptualization • Quantum Mechanics/Chemistry (QM) Conceptualization • Execution Phase. • Structure and Governance Model • Resource Distribution • Work Plan 2 The Molecular Sciences Software Institute (MolSSI) • New project (as of August 1st, 2016) funded by the National Science Foundation. • Collaborative effort by Virginia Tech, Rice U., Stony Brook U., U.C. Berkeley, Stanford U., Rutgers U., U. Southern California, and Iowa State U. • Total budget of $19.42M for five years, potentially renewable to ten years. • Joint support from numerous NSF divisions: Advanced Cyberinfrastructure (ACI), Chemistry (CHE), Division of Materials Research (DMR), Office of Multidisciplinary Activities (OMA) • Designed to serve and enhance the software development efforts of the broad field of computational molecular science. 3 Computational Molecular Sciences (CMS) • The history of CMS – the sub-fields of quantum chemistry, computational materials science, and biomolecular simulation – reaches back decades to the genesis of computational science. • CMS is now a “full partner with experiment”. • For an impressive array of chemical, biochemical, and materials challenges, our community has developed simulations and models that directly impact: • Development of new chiral drugs; • Elucidation of the functionalities of biological macromolecules; • Development of more advanced materials for solar-energy storage, technology for CO2 sequestration, etc. -
Arxiv:1710.00259V1 [Physics.Chem-Ph] 30 Sep 2017 a Relativistically Correct Electron Interaction
One-step treatment of spin-orbit coupling and electron correlation in large active spaces Bastien Mussard1, ∗ and Sandeep Sharma1, y 1Department of Chemistry and Biochemistry, University of Colorado Boulder, Boulder, CO 80302, USA In this work we demonstrate that the heat bath configuration interaction (HCI) and its semis- tochastic extension can be used to treat relativistic effects and electron correlation on an equal footing in large active spaces to calculate the low energy spectrum of several systems including halogens group atoms (F, Cl, Br, I), coinage atoms (Cu, Au) and the Neptunyl(VI) dioxide radical. This work demonstrates that despite a significant increase in the size of the Hilbert space due to spin symmetry breaking by the spin-orbit coupling terms, HCI retains the ability to discard large parts of the low importance Hilbert space to deliver converged absolute and relative energies. For instance, by using just over 107 determinants we get converged excitation energies for Au atom in an active space containing (150o,25e) which has over 1030 determinants. We also investigate the accuracy of five different two-component relativistic Hamiltonians in which different levels of ap- proximations are made in deriving the one-electron and two-electrons Hamiltonians, ranging from Breit-Pauli (BP) to various flavors of exact two-component (X2C) theory. The relative accuracy of the different Hamiltonians are compared on systems that range in atomic number from first row atoms to actinides. I. INTRODUCTION can become large and it is more appropriate to treat them on an equal footing with the spin-free terms and electron Relativistic effects play an important role in a correlation. -
Arxiv:1911.06836V1 [Physics.Chem-Ph] 8 Aug 2019 A
Multireference electron correlation methods: Journeys along potential energy surfaces Jae Woo Park,1, ∗ Rachael Al-Saadon,2 Matthew K. MacLeod,3 Toru Shiozaki,2, 4 and Bess Vlaisavljevich5, y 1Department of Chemistry, Chungbuk National University, Chungdae-ro 1, Cheongju 28644, Korea. 2Department of Chemistry, Northwestern University, 2145 Sheridan Rd., Evanston, IL 60208, USA. 3Workday, 4900 Pearl Circle East, Suite 100, Boulder, CO 80301, USA. 4Quantum Simulation Technologies, Inc., 625 Massachusetts Ave., Cambridge, MA 02139, USA. 5Department of Chemistry, University of South Dakota, 414 E. Clark Street, Vermillion, SD 57069, USA. (Dated: November 19, 2019) Multireference electron correlation methods describe static and dynamical electron correlation in a balanced way, and therefore, can yield accurate and predictive results even when single-reference methods or multicon- figurational self-consistent field (MCSCF) theory fails. One of their most prominent applications in quantum chemistry is the exploration of potential energy surfaces (PES). This includes the optimization of molecular ge- ometries, such as equilibrium geometries and conical intersections, and on-the-fly photodynamics simulations; both depend heavily on the ability of the method to properly explore the PES. Since such applications require the nuclear gradients and derivative couplings, the availability of analytical nuclear gradients greatly improves the utility of quantum chemical methods. This review focuses on the developments and advances made in the past two decades. To motivate the readers, we first summarize the notable applications of multireference elec- tron correlation methods to mainstream chemistry, including geometry optimizations and on-the-fly dynamics. Subsequently, we review the analytical nuclear gradient and derivative coupling theories for these methods, and the software infrastructure that allows one to make use of these quantities in applications. -
Jaguar 5.5 User Manual Copyright © 2003 Schrödinger, L.L.C
Jaguar 5.5 User Manual Copyright © 2003 Schrödinger, L.L.C. All rights reserved. Schrödinger, FirstDiscovery, Glide, Impact, Jaguar, Liaison, LigPrep, Maestro, Prime, QSite, and QikProp are trademarks of Schrödinger, L.L.C. MacroModel is a registered trademark of Schrödinger, L.L.C. To the maximum extent permitted by applicable law, this publication is provided “as is” without warranty of any kind. This publication may contain trademarks of other companies. October 2003 Contents Chapter 1: Introduction.......................................................................................1 1.1 Conventions Used in This Manual.......................................................................2 1.2 Citing Jaguar in Publications ...............................................................................3 Chapter 2: The Maestro Graphical User Interface...........................................5 2.1 Starting Maestro...................................................................................................5 2.2 The Maestro Main Window .................................................................................7 2.3 Maestro Projects ..................................................................................................7 2.4 Building a Structure.............................................................................................9 2.5 Atom Selection ..................................................................................................10 2.6 Toolbar Controls ................................................................................................11 -
Perturbational Treatment of Spin-Orbit Coupling for Generally Applicable High-Level Multi-Reference Methods
Perturbational treatment of spin-orbit coupling for generally applicable high-level multi-reference methods Sebastian Mai1, Thomas Müller2,a), Felix Plasser3, Philipp Marquetand1, Hans Lischka and Leticia González1 1Institute of Theoretical Chemistry, University of Vienna, Währinger Str. 17, 1090 Vienna, Austria 2Institute for Advanced Simulation, Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany 3Interdisciplinary Center for Scientific Computing, University of Heidelberg, Im Neuenheimer Feld 368, 69120 Heidelberg, Germany 4Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, USA Abstract An efficient perturbational treatment of spin-orbit coupling within the framework of high-level multi-reference techniques has been implemented in the most recent version of the COLUMBUS quantum chemistry package, extending the existing fully variational two-component (2c) multi-reference configuration interaction singles and doubles (MRCISD) method. The proposed scheme follows related implementations of quasi-degenerate perturbation theory (QDPT) model space techniques. Our model space is built either from uncontracted, large-scale scalar relativistic MRCISD wavefunctions or based on the scalar-relativistic solutions of the linear-response-theory-based multi-configurational averaged quadratic coupled cluster method (LRT-MRAQCC). The latter approach allows for a consistent, approximatively size-consistent and size-extensive treatment of spin-orbit coupling. The approach is described in -
CHEM:4480 Introduction to Molecular Modeling
CHEM:4480:001 Introduction to Molecular Modeling Fall 2018 Instructor Dr. Sara E. Mason Office: W339 CB, Phone: (319) 335-2761, Email: [email protected] Lecture 11:00 AM - 12:15 PM, Tuesday/Thursday. Primary Location: W228 CB. Please note that we will often meet in one of the Chemistry Computer Labs. Notice about class being held outside of the primary location will be posted to the course ICON site by 24 hours prior to the start of class. Office Tuesday 12:30-2 PM (EXCEPT for DoC faculty meeting days 9/4, 10/2, 10/9, 11/6, Hour and 12/4), Thursday 12:30-2, or by appointment Department Dr. James Gloer DEO Administrative Office: E331 CB Administrative Phone: (319) 335-1350 Administrative Email: [email protected] Text Instead of a course text, assigned readings will be given throughout the semester in forms such as journal articles or library reserves. Website http://icon.uiowa.edu Course To develop practical skills associated with chemical modeling based on quantum me- Objectives chanics and computational chemistry such as working with shell commands, math- ematical software, and modeling packages. We will also work to develop a basic understanding of quantum mechanics, approximate methods, and electronic struc- ture. Technical computing, pseudopotential generation, density functional theory software, (along with other optional packages) will be used hands-on to gain experi- ence in data manipulation and modeling. We will use both a traditional classroom setting and hands-on learning in computer labs to achieve course goals. Course Topics • Introduction: It’s a quantum world! • Dirac notation and matrix mechanics (a.k.a. -
US DOE SC ASCR FY11 Software Effectiveness SC GG 3.1/2.5.2 Improve Computational Science Capabilities
US DOE SC ASCR FY11 Software Effectiveness SC GG 3.1/2.5.2 Improve Computational Science Capabilities K. J. Roche High Performance Computing Group, Pacific Northwest National Laboratory Nuclear Theory Group, Department of Physics, University of Washington Presentation to ASCAC, Washington, D.C. , November 2, 2011 Tuesday, November 1, 2011 1 LAMMPS Paul Crozier, Steve Plimpton, Mark Brown, Christian Trott OMEN, NEMO 5 Gerhard Klimeck, Mathieu Luisier, Sebastian Steiger, Michael Povolotskyi, Hong-Hyun Park, Tillman Kubis OSIRIS Warren Mori, Ricardo Fonseca, Asher Davidson, Frank Tsung, Jorge Vieira, Frederico Fiuza, Panagiotis Spentzouris eSTOMP Steve Yabusaki, Yilin Fang, Bruce Palmer, Manojkumar Krishnan Rebecca Hartman-Baker Ricky Kendall Don Maxwell Bronson Messer Vira j Paropkari David Skinner Jack Wells Cary Whitney Rice HPC Toolkit group DOE ASCR, OLCF and NERSC staf Tuesday, November 1, 2011 2 • Metric Statement, Processing • FY11 Applications Intro Problems Enhancements Results • FY12 Nominations Tuesday, November 1, 2011 3 US OMB PART DOE SC ASCR Annual Goal with Quarterly Updates (SC GG 3.1/2.5.2) Improve computational science capabilities, defined as the average annual percentage increase in the computational effectiveness (either by simulating the same problem in less time or simulating a larger problem in the same time) of a subset of application codes. To those ‘on the clock’ with this work, it means more than just satisfying the language of this metric. Tuesday, November 1, 2011 4 accept • COMPLEXITY LP LR PROBLEMS M M M • reject • ALGORITHMS • MACHINES Measured time for machine M to generate the language of the problem plus time to generate the language of the result plus the time to accept or reject the language of the result. -
Lawrence Berkeley National Laboratory Recent Work
Lawrence Berkeley National Laboratory Recent Work Title From NWChem to NWChemEx: Evolving with the Computational Chemistry Landscape. Permalink https://escholarship.org/uc/item/4sm897jh Journal Chemical reviews, 121(8) ISSN 0009-2665 Authors Kowalski, Karol Bair, Raymond Bauman, Nicholas P et al. Publication Date 2021-04-01 DOI 10.1021/acs.chemrev.0c00998 Peer reviewed eScholarship.org Powered by the California Digital Library University of California From NWChem to NWChemEx: Evolving with the computational chemistry landscape Karol Kowalski,y Raymond Bair,z Nicholas P. Bauman,y Jeffery S. Boschen,{ Eric J. Bylaska,y Jeff Daily,y Wibe A. de Jong,x Thom Dunning, Jr,y Niranjan Govind,y Robert J. Harrison,k Murat Keçeli,z Kristopher Keipert,? Sriram Krishnamoorthy,y Suraj Kumar,y Erdal Mutlu,y Bruce Palmer,y Ajay Panyala,y Bo Peng,y Ryan M. Richard,{ T. P. Straatsma,# Peter Sushko,y Edward F. Valeev,@ Marat Valiev,y Hubertus J. J. van Dam,4 Jonathan M. Waldrop,{ David B. Williams-Young,x Chao Yang,x Marcin Zalewski,y and Theresa L. Windus*,r yPacific Northwest National Laboratory, Richland, WA 99352 zArgonne National Laboratory, Lemont, IL 60439 {Ames Laboratory, Ames, IA 50011 xLawrence Berkeley National Laboratory, Berkeley, 94720 kInstitute for Advanced Computational Science, Stony Brook University, Stony Brook, NY 11794 ?NVIDIA Inc, previously Argonne National Laboratory, Lemont, IL 60439 #National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6373 @Department of Chemistry, Virginia Tech, Blacksburg, VA 24061 4Brookhaven National Laboratory, Upton, NY 11973 rDepartment of Chemistry, Iowa State University and Ames Laboratory, Ames, IA 50011 E-mail: [email protected] 1 Abstract Since the advent of the first computers, chemists have been at the forefront of using computers to understand and solve complex chemical problems. -
Efficient Two-Component Relativistic Method to Obtain Electronic
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DSpace at Waseda University Efficient Two-Component Relativistic Method to Obtain Electronic and Molecular Structures of Heavy-Element Systems ͷిࢠঢ়ଶ͓ΑͼࢠߏͷͨΊͷܥॏݩૉ ޮతͳ 2 ૬ର๏ February 2017 Waseda University Graduate School of Advanced Science and Engineering Department of Chemistry and Biochemistry, Research on Electronic State Theory Yuya NAKAJIMA தౢɹ༟ Contents Chapter 1 General introduction 1 References . ................................ 6 Chapter 2 Theoretical background 7 2.1 Dirac Hamiltonian . ....................... 7 2.2 The IODKH method ....................... 9 2.3 The LUT scheme . ........................ 12 2.4 Spin-free and spin-dependent formalisms . ......... 14 2.5 The FCP method . ........................ 16 2.6 The GHF method . ........................ 19 2.7 The Analytical energy derivative for the GHF method . 21 References . ................................ 24 Chapter 3 Analytical energy gradient for spin-free infinite-order Douglas–Kroll–Hess method with local unitary transfor- mation 25 3.1 Introduction . .......................... 25 3.2 Theory and implementation . ................. 27 3.2.1 Energy gradient for IODKH . ........... 27 3.2.2 Analytical derivative for the space transformation matrices . ......................... 30 3.2.3 Energy gradient for LUT-IODKH . .......... 32 3.2.4 Implementation . ................... 33 i 3.3 Numerical assessments . .................. 34 3.3.1 Computational details . ................ 34 3.3.2 Numerical gradient values ............... 37 3.3.3 Accuracies of IODKH/C and LUT-IODKH/C methods 38 3.3.4 Computational cost of the LUT scheme ........ 45 3.3.5 Metal complexes . ................... 47 3.3.6 Heavier analogues of ethylene . ........... 48 3.3.7 Harmonic frequencies of diatomic molecules . 49 3.4 Conclusion . -
The Electron Affinity of the Uranium Atom
The electron affinity of the uranium atom Cite as: J. Chem. Phys. 154, 224307 (2021); https://doi.org/10.1063/5.0046315 Submitted: 02 February 2021 . Accepted: 18 May 2021 . Published Online: 10 June 2021 Sandra M. Ciborowski, Gaoxiang Liu, Moritz Blankenhorn, Rachel M. Harris, Mary A. Marshall, Zhaoguo Zhu, Kit H. Bowen, and Kirk A. Peterson ARTICLES YOU MAY BE INTERESTED IN Ultrahigh sensitive transient absorption spectrometer Review of Scientific Instruments 92, 053002 (2021); https://doi.org/10.1063/5.0048115 A dual-magneto-optical-trap atom gravity gradiometer for determining the Newtonian gravitational constant Review of Scientific Instruments 92, 053202 (2021); https://doi.org/10.1063/5.0040701 How accurate is the determination of equilibrium structures for van der Waals complexes? The dimer N2O⋯CO as an example The Journal of Chemical Physics 154, 194302 (2021); https://doi.org/10.1063/5.0048603 J. Chem. Phys. 154, 224307 (2021); https://doi.org/10.1063/5.0046315 154, 224307 © 2021 Author(s). The Journal ARTICLE of Chemical Physics scitation.org/journal/jcp The electron affinity of the uranium atom Cite as: J. Chem. Phys. 154, 224307 (2021); doi: 10.1063/5.0046315 Submitted: 2 February 2021 • Accepted: 18 May 2021 • Published Online: 10 June 2021 Sandra M. Ciborowski,1 Gaoxiang Liu,1 Moritz Blankenhorn,1 Rachel M. Harris,1 Mary A. Marshall,1 Zhaoguo Zhu,1 Kit H. Bowen,1,a) and Kirk A. Peterson2,a) AFFILIATIONS 1 Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, USA 2 Department of Chemistry, Washington State University, Pullman, Washington 99162, USA a)Authors to whom correspondence should be addressed: [email protected] and [email protected] ABSTRACT The results of a combined experimental and computational study of the uranium atom are presented with the aim of determining its electron affinity. -
Nwchem User Documentation Release 4.0.1
NWChem User Documentation Release 4.0.1 High Performance Computational Chemistry Group W.R. Wiley Environmental Molecular Sciences Laboratory Pacific Northwest National Laboratory P.O. Box 999, Richland, WA 99352 January 2001 2 DISCLAIMER This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, MAKES ANY WARRANTY, EXPRESS OR IMPLIED, OR ASSUMES ANY LEGAL LIABILITY OR RESPON- SIBILITY FOR THE ACCURACY, COMPLETENESS, OR USEFULNESS OF ANY INFORMATION, APPARA- TUS, PRODUCT, SOFTWARE, OR PROCESS DISCLOSED, OR REPRESENTS THAT ITS USE WOULD NOT INFRINGE PRIVATELY OWNED RIGHTS. LIMITED USE This software (including any documentation) is being made available to you for your internal use only, solely for use in performance of work directly for the U.S. Federal Government or work under contracts with the U.S. Department of Energy or other U.S. Federal Government agencies. This software is a version which has not yet been evaluated and cleared for commercialization. Adherence to this notice may be necessary for the author, Battelle Memorial Institute, to successfully assert copyright in and commercialize this software. This software is not intended for duplication or distribution to third parties without the permission of the Manager of Software Products at Pacific Northwest National Laboratory, Richland, Washington, 99352. ACKNOWLEDGMENT This software and its documentation were produced with Government support under Contract Number DE-AC06- 76RLO-1830 awarded by the United States Department of Energy. The Government retains a paid-up non-exclusive, irrevocable worldwide license to reproduce, prepare derivative works, perform publicly and display publicly by or for the Government, including the right to distribute to other Government contractors. -
Scale QM/MM-MD Simulations and Its Application to Biomolecular Systems
PUPIL: a Software Integration System for Multi- scale QM/MM-MD Simulations and its Application to Biomolecular Systems Juan Torras, 1 * B.P. Roberts, 2 G.M. Seabra, 3and S.B. Trickey 4 * 1Department of Chemical Engineering, EEI, Universitat Politècnica de Catalunya, Av. Pla de la Massa 8, Igualada 08700, Spain 2 Centre for eResearch, The University of Auckland, Private Bag 92019, Auckland 1142 New Zealand 3Departamento de Química Fundamental, Universidade Federal de Pernambuco, Cidade Universitária, Recife, Pernambuco CEP 50.740-540, Brazil 4Department of Physics, Department of Chemistry, and Quantum Theory Project, Univ. of Florida, Gainesville Florida 32611-8435, USA * Corresponding Authors: [email protected] and [email protected] 1 Abstract PUPIL (Program for User Package Interfacing and Linking) implements a distinctive multi-scale approach to hybrid quantum mechanical/molecular mechanical molecular dynamics (QM/MM-MD) simulations. Originally developed to interface different external programs for multi-scale simulation with applications in the materials sciences, PUPIL is finding increasing use in the study of complex biological systems. Advanced MD techniques from the external packages can be applied readily to a hybrid QM/MM treatment in which the forces and energy for the QM region can be computed by any of the QM methods available in any of the other external packages. Here we give a survey of PUPIL design philosophy, main features, and key implementation decisions, with an orientation to biomolecular simulation. We discuss recently implemented features which enable highly realistic simulations of complex biological systems which have more than one active site that must be treated concurrently.