001     862509
005     20240625095122.0
024 7 _ |2 doi
|a 10.1051/sfn/201112010
024 7 _ |2 Handle
|a 2128/22131
024 7 _ |a WOS:000397477400009
|2 WOS
024 7 _ |a altmetric:3281937
|2 altmetric
037 _ _ |a FZJ-2019-02813
100 1 _ |0 P:(DE-Juel1)166168
|a Calandrini, V.
|b 0
|u fzj
245 _ _ |a nMoldyn - Interfacing spectroscopic experiments, molecular dynamics simulations and models for time correlation functions
260 _ _ |c 2011
295 1 0 |a Ecolé thématique de la Société Française de la Neutronique, June 2011
300 _ _ |a 201 - 232
336 7 _ |2 ORCID
|a CONFERENCE_PAPER
336 7 _ |0 33
|2 EndNote
|a Conference Paper
336 7 _ |2 BibTeX
|a INPROCEEDINGS
336 7 _ |2 DRIVER
|a conferenceObject
336 7 _ |2 DataCite
|a Output Types/Conference Paper
336 7 _ |0 PUB:(DE-HGF)8
|2 PUB:(DE-HGF)
|a Contribution to a conference proceedings
|b contrib
|m contrib
|s 1556278948_17806
336 7 _ |0 PUB:(DE-HGF)7
|2 PUB:(DE-HGF)
|a Contribution to a book
|m contb
500 _ _ |a From the Atomic Level Characterisation to Coarse-Grained Descriptions
520 _ _ |a This article gives an introduction into the program nMoldyn, which has been originally conceived to support the interpretation of neutron scattering experiments on complex molecular systems by the calculation of appropriate time correlation functions from classical and quantum molecular dynamics simulations of corresponding model systems. Later the functionality has been extended to include more advanced time series analyses of molecular dynamics trajectories, in particular the calculation of memory functions, which play an essential role in the theory of time correlation functions. Here we present a synoptic view of the range of applications of the latest version of nMoldyn, which includes new modules for a simulation-based interpretation of data from nuclear magnetic resonance spectroscopy, far infrared spectroscopy and for protein secondary structure analysis
536 _ _ |0 G:(DE-HGF)POF3-899
|a 899 - ohne Topic (POF3-899)
|c POF3-899
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |0 P:(DE-HGF)0
|a Pellegrini, E.
|b 1
700 1 _ |0 P:(DE-HGF)0
|a Calligari, P.
|b 2
700 1 _ |0 P:(DE-HGF)0
|a Hinsen, K.
|b 3
700 1 _ |0 P:(DE-HGF)0
|a Kneller, G. R.
|b 4
773 _ _ |a 10.1051/sfn/201112010
|g Vol. 12, p. 201 - 232
|n Collection SFN
|v 12
|x 2107-7231
|y 2011
856 4 _ |u https://juser.fz-juelich.de/record/862509/files/sfn201112010-1.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/862509/files/sfn201112010-1.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:862509
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)166168
|a Forschungszentrum Jülich
|b 0
|k FZJ
913 1 _ |0 G:(DE-HGF)POF3-899
|1 G:(DE-HGF)POF3-890
|2 G:(DE-HGF)POF3-800
|a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|v ohne Topic
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 LIC:(DE-HGF)CCBYNC3
|2 HGFVOC
|a Creative Commons Attribution-NonCommercial CC BY-NC 3.0
920 1 _ |0 I:(DE-Juel1)IAS-5-20120330
|k IAS-5
|l Computational Biomedicine
|x 0
920 1 _ |0 I:(DE-Juel1)INM-9-20140121
|k INM-9
|l Computational Biomedicine
|x 1
980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a contb
980 _ _ |a I:(DE-Juel1)IAS-5-20120330
980 _ _ |a I:(DE-Juel1)INM-9-20140121
980 _ _ |a UNRESTRICTED
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21