Matches in SemOpenAlex for { <https://semopenalex.org/work/W3202259692> ?p ?o ?g. }
- W3202259692 endingPage "108176" @default.
- W3202259692 startingPage "108176" @default.
- W3202259692 abstract "We provide an efficient ready-to-run code gensaw that generates single or large ensembles of self-avoiding, flexible, semiflexible, rotationally isometric or helical chains in the bulk or subject to arbitrary confinement and tethering conditions, where we allow for arbitrary intramolecular bending and dihedral energy functions. The resulting configuration files are provided in various common formats and can be immediately used to do molecular simulations or statistical analysis. We work out analytic expressions for the mean squared end-to-end distance and gyration radius of the semiflexible, helical and rotational isomeric state models with a finite number of bonds and arbitrary interaction potentials for direct comparison and testing of the code in the limiting case of unconfined phantom chains. In addition to the graphics-free linux standalone batch version gensaw that creates configuration and other files for high throughput applications from the command line, we provide an interactive online version gensaw-visualization that serves as platform-independent graphical user interface, and animates the resulting conformations using a remote gensaw server. Program title: gensaw CPC Library link to program files: https://doi.org/10.17632/8xfgf88f3w.1 Licensing provisions: MIT Programming languages: fortran 90, perl (standalone batch version) or java (interactive online version) Required software: ifort 16+ or gfortran 4+, perl 5+ (standalone batch version), jre 1.8.0+ (interactive online version) Nature of problem: Efficient creation of self-avoiding, semiflexible multibead walks/chains of variable contour length, subject to arbitrary confinement and tethering conditions, characterized by a conformational energy that is composed of arbitrary bending and torsion contributions. The code must produce an ensemble of such chains, using a flexible output format. For the limiting case of chains with zero thickness, the code should reproduce analytic results for the ideal chains. Solution method: We use an adapted enrichment procedure that optimizes its parameters on the fly and derive all analytic results for semiflexible chains with arbitrary bending and torsion potentials for comparison with the created ensembles. While gensaw creates configuration and optionally other files from the command line, gensaw-visualization serves as a platform-independent graphical user interface and allows to visualize and animate the conformations." @default.
- W3202259692 created "2021-10-11" @default.
- W3202259692 creator A5001881706 @default.
- W3202259692 creator A5041470501 @default.
- W3202259692 creator A5042371041 @default.
- W3202259692 creator A5077679067 @default.
- W3202259692 creator A5078023428 @default.
- W3202259692 date "2022-01-01" @default.
- W3202259692 modified "2023-09-29" @default.
- W3202259692 title "Efficient generation of self-avoiding, semiflexible rotational isomeric chain ensembles in bulk, in confined geometries, and on surfaces" @default.
- W3202259692 cites W1518747218 @default.
- W3202259692 cites W1964571290 @default.
- W3202259692 cites W1966597912 @default.
- W3202259692 cites W1966879608 @default.
- W3202259692 cites W1967461608 @default.
- W3202259692 cites W1970484081 @default.
- W3202259692 cites W1972514606 @default.
- W3202259692 cites W1974704755 @default.
- W3202259692 cites W1978950676 @default.
- W3202259692 cites W1980428120 @default.
- W3202259692 cites W1981498694 @default.
- W3202259692 cites W1982150094 @default.
- W3202259692 cites W1987464018 @default.
- W3202259692 cites W1992058458 @default.
- W3202259692 cites W1993438819 @default.
- W3202259692 cites W1993574168 @default.
- W3202259692 cites W2001851051 @default.
- W3202259692 cites W2005942984 @default.
- W3202259692 cites W2011005325 @default.
- W3202259692 cites W2019465613 @default.
- W3202259692 cites W2020094987 @default.
- W3202259692 cites W2021747642 @default.
- W3202259692 cites W2022183655 @default.
- W3202259692 cites W2025776405 @default.
- W3202259692 cites W2026466407 @default.
- W3202259692 cites W2030827454 @default.
- W3202259692 cites W2031961095 @default.
- W3202259692 cites W2037339664 @default.
- W3202259692 cites W2044263284 @default.
- W3202259692 cites W2046634290 @default.
- W3202259692 cites W2047065033 @default.
- W3202259692 cites W2054496592 @default.
- W3202259692 cites W2059991053 @default.
- W3202259692 cites W2061768183 @default.
- W3202259692 cites W2062110460 @default.
- W3202259692 cites W2062291586 @default.
- W3202259692 cites W2066851117 @default.
- W3202259692 cites W2070044040 @default.
- W3202259692 cites W2071164800 @default.
- W3202259692 cites W2081134479 @default.
- W3202259692 cites W2082791536 @default.
- W3202259692 cites W2082950643 @default.
- W3202259692 cites W2085001624 @default.
- W3202259692 cites W2087216138 @default.
- W3202259692 cites W2091351360 @default.
- W3202259692 cites W2093548231 @default.
- W3202259692 cites W2095363174 @default.
- W3202259692 cites W2104081251 @default.
- W3202259692 cites W2108710510 @default.
- W3202259692 cites W2121273485 @default.
- W3202259692 cites W2130383718 @default.
- W3202259692 cites W2337066637 @default.
- W3202259692 cites W2885436955 @default.
- W3202259692 cites W3020831226 @default.
- W3202259692 cites W3057964128 @default.
- W3202259692 cites W3095282800 @default.
- W3202259692 cites W4245290239 @default.
- W3202259692 doi "https://doi.org/10.1016/j.cpc.2021.108176" @default.
- W3202259692 hasPublicationYear "2022" @default.
- W3202259692 type Work @default.
- W3202259692 sameAs 3202259692 @default.
- W3202259692 citedByCount "4" @default.
- W3202259692 countsByYear W32022596922021 @default.
- W3202259692 countsByYear W32022596922022 @default.
- W3202259692 countsByYear W32022596922023 @default.
- W3202259692 crossrefType "journal-article" @default.
- W3202259692 hasAuthorship W3202259692A5001881706 @default.
- W3202259692 hasAuthorship W3202259692A5041470501 @default.
- W3202259692 hasAuthorship W3202259692A5042371041 @default.
- W3202259692 hasAuthorship W3202259692A5077679067 @default.
- W3202259692 hasAuthorship W3202259692A5078023428 @default.
- W3202259692 hasBestOaLocation W32022596921 @default.
- W3202259692 hasConcept C112887158 @default.
- W3202259692 hasConcept C121332964 @default.
- W3202259692 hasConcept C168568712 @default.
- W3202259692 hasConcept C199360897 @default.
- W3202259692 hasConcept C2778241615 @default.
- W3202259692 hasConcept C32909587 @default.
- W3202259692 hasConcept C41008148 @default.
- W3202259692 hasConcept C459310 @default.
- W3202259692 hasConcept C46141821 @default.
- W3202259692 hasConcept C521977710 @default.
- W3202259692 hasConcept C62520636 @default.
- W3202259692 hasConcept C89025888 @default.
- W3202259692 hasConceptScore W3202259692C112887158 @default.
- W3202259692 hasConceptScore W3202259692C121332964 @default.
- W3202259692 hasConceptScore W3202259692C168568712 @default.
- W3202259692 hasConceptScore W3202259692C199360897 @default.