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stk : A Python toolkit for supramolecular assembly
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![]() | Published version | 2.7 MB | Adobe PDF | View/Open |
Title: | stk : A Python toolkit for supramolecular assembly |
Authors: | Turcani, L Berardo, E Jelfs, KE |
Item Type: | Journal Article |
Abstract: | A tool for the automated assembly, molecular optimization and property calculation of supramolecular materials is presented. stk is a modular, extensible and open-source Python library that provides a simple Python API and integration with third party computational codes. stk currently supports the construction of linear polymers, small linear oligomers, organic cages in multiple topologies, and covalent organic frameworks (COFs) in multiple framework topologies, but is designed to be easy to extend to new, unrelated, supramolecules or new topologies. Extension to metal-organic frameworks (MOFs), metallocycles or supramolecules, such as catenanes, would be straightforward. Through integration with third party codes, stk offers the user the opportunity to explore the potential energy landscape of the assembled supramolecule and then calculate the supramolecule’s structural features and properties. stk provides support for highthroughput screening of large batches of supramolecules at a time. The source code of the program can be found at https://github.com/supramolecular-toolkit/stk. |
Issue Date: | 5-Sep-2018 |
Date of Acceptance: | 20-May-2018 |
URI: | http://hdl.handle.net/10044/1/60369 |
DOI: | https://dx.doi.org/10.1002/jcc.25377 |
ISSN: | 0192-8651 |
Publisher: | Wiley |
Start Page: | 1931 |
End Page: | 1942 |
Journal / Book Title: | Journal of Computational Chemistry |
Volume: | 39 |
Issue: | 23 |
Copyright Statement: | © 2018 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Sponsor/Funder: | The Royal Society Engineering & Physical Science Research Council (EPSRC) Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | UF120469 EP/M017257/1 EP/P005543/1 |
Keywords: | Science & Technology Physical Sciences Chemistry, Multidisciplinary Chemistry python high-throughput screening supramolecular assembly materials design supramolecular chemistry CONJUGATED POLYMERS DESIGN PROGRAM CRYSTALLINE BINDING high-throughput screening materials design python supramolecular assembly supramolecular chemistry 0306 Physical Chemistry (incl. Structural) 0307 Theoretical and Computational Chemistry Chemical Physics |
Publication Status: | Published |
Open Access location: | https://chemrxiv.org/articles/STK_A_Python_Toolkit_for_Supramolecular_Assembly/6127826 |
Online Publication Date: | 2018-09-24 |
Appears in Collections: | Chemistry Faculty of Natural Sciences |