Literature DB >> 27043934

ORBKIT: A modular python toolbox for cross-platform postprocessing of quantum chemical wavefunction data.

Gunter Hermann1, Vincent Pohl1, Jean Christophe Tremblay1, Beate Paulus1, Hans-Christian Hege2, Axel Schild3.   

Abstract

ORBKIT is a toolbox for postprocessing electronic structure calculations based on a highly modular and portable Python architecture. The program allows computing a multitude of electronic properties of molecular systems on arbitrary spatial grids from the basis set representation of its electronic wavefunction, as well as several grid-independent properties. The required data can be extracted directly from the standard output of a large number of quantum chemistry programs. ORBKIT can be used as a standalone program to determine standard quantities, for example, the electron density, molecular orbitals, and derivatives thereof. The cornerstone of ORBKIT is its modular structure. The existing basic functions can be arranged in an individual way and can be easily extended by user-written modules to determine any other derived quantity. ORBKIT offers multiple output formats that can be processed by common visualization tools (VMD, Molden, etc.). Additionally, ORBKIT possesses routines to order molecular orbitals computed at different nuclear configurations according to their electronic character and to interpolate the wavefunction between these configurations. The program is open-source under GNU-LGPLv3 license and freely available at https://github.com/orbkit/orbkit/. This article provides an overview of ORBKIT with particular focus on its capabilities and applicability, and includes several example calculations.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Keywords:  electron density; electronic structure; grid representation of one-electron quantities; molecular orbital ordering; molecular visualization; quantum chemical calculation

Year:  2016        PMID: 27043934     DOI: 10.1002/jcc.24358

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  6 in total

Review 1.  Open source molecular modeling.

Authors:  Somayeh Pirhadi; Jocelyn Sunseri; David Ryan Koes
Journal:  J Mol Graph Model       Date:  2016-07-30       Impact factor: 2.518

2.  ExcelAutomat: a tool for systematic processing of files as applied to quantum chemical calculations.

Authors:  Jalal Z A Laloo; Nassirah Laloo; Lydia Rhyman; Ponnadurai Ramasami
Journal:  J Comput Aided Mol Des       Date:  2017-06-17       Impact factor: 3.686

3.  Ultrafast proton-coupled isomerization in the phototransformation of phytochrome.

Authors:  Yang Yang; Till Stensitzki; Luisa Sauthof; Andrea Schmidt; Patrick Piwowarski; Francisco Velazquez Escobar; Norbert Michael; Anh Duc Nguyen; Michal Szczepek; Florian Nikolas Brünig; Roland Rüdiger Netz; Maria Andrea Mroginski; Suliman Adam; Franz Bartl; Igor Schapiro; Peter Hildebrandt; Patrick Scheerer; Karsten Heyne
Journal:  Nat Chem       Date:  2022-05-16       Impact factor: 24.274

4.  Tuning PtII -Based Donor-Acceptor Systems through Ligand Design: Effects on Frontier Orbitals, Redox Potentials, UV/Vis/NIR Absorptions, Electrochromism, and Photocatalysis.

Authors:  Sebastian Sobottka; Maite Nößler; Andrew L Ostericher; Gunter Hermann; Noah Z Subat; Julia Beerhues; Margarethe Behr-van der Meer; Lisa Suntrup; Uta Albold; Stephan Hohloch; Jean Christophe Tremblay; Biprajit Sarkar
Journal:  Chemistry       Date:  2020-01-22       Impact factor: 5.236

5.  Edge Effect in Electronic and Transport Properties of 1D Fluorinated Graphene Materials.

Authors:  Jingjing Shao; Beate Paulus
Journal:  Nanomaterials (Basel)       Date:  2021-12-30       Impact factor: 5.076

6.  Organic materials repurposing, a data set for theoretical predictions of new applications for existing compounds.

Authors:  Ömer H Omar; Tahereh Nematiaram; Alessandro Troisi; Daniele Padula
Journal:  Sci Data       Date:  2022-02-14       Impact factor: 6.444

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.