Matches in SemOpenAlex for { <https://semopenalex.org/work/W3166014932> ?p ?o ?g. }
- W3166014932 endingPage "8558" @default.
- W3166014932 startingPage "8553" @default.
- W3166014932 abstract "Evaluation of nuclear magnetic relaxation dispersion (NMRD) curves obtained by the fast field cycling nuclear magnetic resonance (FFC-NMR) relaxometry technique is a valuable tool for analyzing the microscopic dynamics of condensed matter systems. However, quantitative data analysis involves several conceptual and practical issues. Moving forward from previous literature approaches, we propose a new analysis method, relying on the elaboration of the inverse integral transform of the NMRD curve. Our approach results in a true heuristic method, able to unambiguously individuate the dynamic domains in the system, thereby avoiding the possible introduction of any element of discretion. The analysis of some data sets relevant to real samples suggests the possibility that the results obtained with the heuristic method may be actually led back to some distinct physical/chemical features of the systems." @default.
- W3166014932 created "2021-06-22" @default.
- W3166014932 creator A5000170500 @default.
- W3166014932 creator A5026581656 @default.
- W3166014932 creator A5056237167 @default.
- W3166014932 creator A5066631079 @default.
- W3166014932 creator A5078642158 @default.
- W3166014932 date "2021-06-08" @default.
- W3166014932 modified "2023-10-12" @default.
- W3166014932 title "Heuristic Algorithm for the Analysis of Fast Field Cycling (FFC) NMR Dispersion Curves" @default.
- W3166014932 cites W1498416713 @default.
- W3166014932 cites W1575723364 @default.
- W3166014932 cites W1973131639 @default.
- W3166014932 cites W1976126344 @default.
- W3166014932 cites W1984239318 @default.
- W3166014932 cites W1987167568 @default.
- W3166014932 cites W1992914114 @default.
- W3166014932 cites W1993766991 @default.
- W3166014932 cites W1994748789 @default.
- W3166014932 cites W2014393139 @default.
- W3166014932 cites W2018192280 @default.
- W3166014932 cites W2029284534 @default.
- W3166014932 cites W2032591694 @default.
- W3166014932 cites W2034951903 @default.
- W3166014932 cites W2038588048 @default.
- W3166014932 cites W2065774682 @default.
- W3166014932 cites W2111952086 @default.
- W3166014932 cites W2131904845 @default.
- W3166014932 cites W2400128033 @default.
- W3166014932 cites W2405659695 @default.
- W3166014932 cites W2556204566 @default.
- W3166014932 cites W2769260533 @default.
- W3166014932 cites W2809389028 @default.
- W3166014932 cites W2922400895 @default.
- W3166014932 cites W2946955943 @default.
- W3166014932 cites W2955015402 @default.
- W3166014932 cites W2981636437 @default.
- W3166014932 cites W3008409903 @default.
- W3166014932 cites W3011120070 @default.
- W3166014932 cites W3042471250 @default.
- W3166014932 cites W3043452738 @default.
- W3166014932 cites W3095299301 @default.
- W3166014932 cites W3098382150 @default.
- W3166014932 cites W3106128760 @default.
- W3166014932 cites W3118320639 @default.
- W3166014932 cites W4211145022 @default.
- W3166014932 doi "https://doi.org/10.1021/acs.analchem.1c01264" @default.
- W3166014932 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34102062" @default.
- W3166014932 hasPublicationYear "2021" @default.
- W3166014932 type Work @default.
- W3166014932 sameAs 3166014932 @default.
- W3166014932 citedByCount "4" @default.
- W3166014932 countsByYear W31660149322022 @default.
- W3166014932 countsByYear W31660149322023 @default.
- W3166014932 crossrefType "journal-article" @default.
- W3166014932 hasAuthorship W3166014932A5000170500 @default.
- W3166014932 hasAuthorship W3166014932A5026581656 @default.
- W3166014932 hasAuthorship W3166014932A5056237167 @default.
- W3166014932 hasAuthorship W3166014932A5066631079 @default.
- W3166014932 hasAuthorship W3166014932A5078642158 @default.
- W3166014932 hasBestOaLocation W31660149322 @default.
- W3166014932 hasConcept C11413529 @default.
- W3166014932 hasConcept C120665830 @default.
- W3166014932 hasConcept C121332964 @default.
- W3166014932 hasConcept C121864883 @default.
- W3166014932 hasConcept C126838900 @default.
- W3166014932 hasConcept C143409427 @default.
- W3166014932 hasConcept C154945302 @default.
- W3166014932 hasConcept C15744967 @default.
- W3166014932 hasConcept C173801870 @default.
- W3166014932 hasConcept C177562468 @default.
- W3166014932 hasConcept C185592680 @default.
- W3166014932 hasConcept C186060115 @default.
- W3166014932 hasConcept C202444582 @default.
- W3166014932 hasConcept C207467116 @default.
- W3166014932 hasConcept C2524010 @default.
- W3166014932 hasConcept C2776029896 @default.
- W3166014932 hasConcept C33923547 @default.
- W3166014932 hasConcept C41008148 @default.
- W3166014932 hasConcept C46141821 @default.
- W3166014932 hasConcept C71924100 @default.
- W3166014932 hasConcept C73286259 @default.
- W3166014932 hasConcept C77805123 @default.
- W3166014932 hasConcept C83042744 @default.
- W3166014932 hasConcept C86803240 @default.
- W3166014932 hasConcept C9652623 @default.
- W3166014932 hasConceptScore W3166014932C11413529 @default.
- W3166014932 hasConceptScore W3166014932C120665830 @default.
- W3166014932 hasConceptScore W3166014932C121332964 @default.
- W3166014932 hasConceptScore W3166014932C121864883 @default.
- W3166014932 hasConceptScore W3166014932C126838900 @default.
- W3166014932 hasConceptScore W3166014932C143409427 @default.
- W3166014932 hasConceptScore W3166014932C154945302 @default.
- W3166014932 hasConceptScore W3166014932C15744967 @default.
- W3166014932 hasConceptScore W3166014932C173801870 @default.
- W3166014932 hasConceptScore W3166014932C177562468 @default.
- W3166014932 hasConceptScore W3166014932C185592680 @default.
- W3166014932 hasConceptScore W3166014932C186060115 @default.