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Positional recurrence maps, a powerful tool to de-correlate..:
Piovano, A.
;
Perrichon, A.
;
Boehm, M.
..
Physical Chemistry Chemical Physics. 18 (2016) 26 - p. 17398-17403 , 2016
Link:
https://doi.org/10.1039/c5cp06464c
RT Journal T1 <Title>Positional recurrence maps, a powerful tool to de-correlate static and dynamical disorder in distribution maps from molecular dynamics simulations: the case of Nd2NiO4+d</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1039_c5cp06464c&Exemplar=1&LAN=DE A1 Piovano, A. A1 Perrichon, A. A1 Boehm, M. A1 Johnson, M. R. A1 Paulus, W. PB Royal Society of Chemistry (RSC) YR 2016 SN 1463-9076 SN 1463-9084 JF Physical Chemistry Chemical Physics VO 18 IS 26 SP 17398 OP 17403 LK http://dx.doi.org/https://doi.org/10.1039/c5cp06464c DO https://doi.org/10.1039/c5cp06464c SF ELIB - SuUB Bremen
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