Formation of metal-containing nanoparticles in polymer matrix. Computer simulation of clusterization kinetics during the solid-phase thermal decomposition of metal-containing precursors View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-01

AUTHORS

A. S. Rozenberg, A. A. Rozenberg, G. I. Dzardimalieva, A. D. Pomogailo

ABSTRACT

The scheme of computer simulation of the dynamics of the formation of metal-containing clusters in a polymer matrix during the solid-phase thermolysis of corresponding precursors is developed. The kinetics of particle nucleation and growth is studied within the framework of the model of diffusion-limited aggregation by the combined marching and Monte Carlo methods. Polymer media with different structural organization such as isotropic (globular) and anisotropic (layered and fibrillar) media are considered. Deterministic algorithms of the model are the decomposition of reactive metal-containing groups of a polymer, solid-phase diffusion of particles, and cluster dissociation. The proposed scheme makes it possible to visualize the process of cluster formation. More... »

PAGES

63-71

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10595-005-0053-0

DOI

http://dx.doi.org/10.1007/s10595-005-0053-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012412554


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia", 
          "id": "http://www.grid.ac/institutes/grid.418949.9", 
          "name": [
            "Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rozenberg", 
        "givenName": "A. S.", 
        "id": "sg:person.012070341761.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012070341761.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia", 
          "id": "http://www.grid.ac/institutes/grid.418949.9", 
          "name": [
            "Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rozenberg", 
        "givenName": "A. A.", 
        "id": "sg:person.012632141401.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012632141401.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia", 
          "id": "http://www.grid.ac/institutes/grid.418949.9", 
          "name": [
            "Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dzardimalieva", 
        "givenName": "G. I.", 
        "id": "sg:person.014374346045.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014374346045.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia", 
          "id": "http://www.grid.ac/institutes/grid.418949.9", 
          "name": [
            "Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pomogailo", 
        "givenName": "A. D.", 
        "id": "sg:person.016403071561.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016403071561.84"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10595-005-0051-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038051144", 
          "https://doi.org/10.1007/s10595-005-0051-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1020950129165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040337035", 
          "https://doi.org/10.1023/a:1020950129165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:nano.0000006091.92638.a5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025060551", 
          "https://doi.org/10.1023/b:nano.0000006091.92638.a5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-01", 
    "datePublishedReg": "2005-01-01", 
    "description": "The scheme of computer simulation of the dynamics of the formation of metal-containing clusters in a polymer matrix during the solid-phase thermolysis of corresponding precursors is developed. The kinetics of particle nucleation and growth is studied within the framework of the model of diffusion-limited aggregation by the combined marching and Monte Carlo methods. Polymer media with different structural organization such as isotropic (globular) and anisotropic (layered and fibrillar) media are considered. Deterministic algorithms of the model are the decomposition of reactive metal-containing groups of a polymer, solid-phase diffusion of particles, and cluster dissociation. The proposed scheme makes it possible to visualize the process of cluster formation.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10595-005-0053-0", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1359001", 
        "issn": [
          "0023-2912", 
          "1061-933X"
        ], 
        "name": "Colloid Journal", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "67"
      }
    ], 
    "keywords": [
      "polymer matrix", 
      "solid-phase thermolysis", 
      "metal-containing groups", 
      "metal-containing clusters", 
      "metal-containing precursors", 
      "metal-containing nanoparticles", 
      "solid phase thermal decomposition", 
      "solid-phase diffusion", 
      "polymer medium", 
      "cluster dissociation", 
      "thermal decomposition", 
      "particle nucleation", 
      "computer simulations", 
      "different structural organization", 
      "diffusion-limited aggregation", 
      "precursors", 
      "Monte Carlo method", 
      "cluster formation", 
      "kinetics", 
      "polymers", 
      "nanoparticles", 
      "simulations", 
      "formation", 
      "anisotropic media", 
      "thermolysis", 
      "Carlo method", 
      "decomposition", 
      "deterministic algorithm", 
      "dissociation", 
      "structural organization", 
      "matrix", 
      "nucleation", 
      "scheme", 
      "particles", 
      "aggregation", 
      "diffusion", 
      "medium", 
      "model", 
      "marching", 
      "clusters", 
      "process", 
      "method", 
      "algorithm", 
      "dynamics", 
      "group", 
      "framework", 
      "growth", 
      "organization"
    ], 
    "name": "Formation of metal-containing nanoparticles in polymer matrix. Computer simulation of clusterization kinetics during the solid-phase thermal decomposition of metal-containing precursors", 
    "pagination": "63-71", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012412554"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10595-005-0053-0"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10595-005-0053-0", 
      "https://app.dimensions.ai/details/publication/pub.1012412554"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_403.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10595-005-0053-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10595-005-0053-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10595-005-0053-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10595-005-0053-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10595-005-0053-0'


 

This table displays all metadata directly associated to this object as RDF triples.

139 TRIPLES      22 PREDICATES      77 URIs      66 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10595-005-0053-0 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author Nf7f7c89a2e294e7eb07b5453eeb50554
4 schema:citation sg:pub.10.1007/s10595-005-0051-2
5 sg:pub.10.1023/a:1020950129165
6 sg:pub.10.1023/b:nano.0000006091.92638.a5
7 schema:datePublished 2005-01
8 schema:datePublishedReg 2005-01-01
9 schema:description The scheme of computer simulation of the dynamics of the formation of metal-containing clusters in a polymer matrix during the solid-phase thermolysis of corresponding precursors is developed. The kinetics of particle nucleation and growth is studied within the framework of the model of diffusion-limited aggregation by the combined marching and Monte Carlo methods. Polymer media with different structural organization such as isotropic (globular) and anisotropic (layered and fibrillar) media are considered. Deterministic algorithms of the model are the decomposition of reactive metal-containing groups of a polymer, solid-phase diffusion of particles, and cluster dissociation. The proposed scheme makes it possible to visualize the process of cluster formation.
10 schema:genre article
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N2ac08437e54841a6a2147caa2d9faf7d
14 N5e07fe3d870c467eb30631e8cac8db04
15 sg:journal.1359001
16 schema:keywords Carlo method
17 Monte Carlo method
18 aggregation
19 algorithm
20 anisotropic media
21 cluster dissociation
22 cluster formation
23 clusters
24 computer simulations
25 decomposition
26 deterministic algorithm
27 different structural organization
28 diffusion
29 diffusion-limited aggregation
30 dissociation
31 dynamics
32 formation
33 framework
34 group
35 growth
36 kinetics
37 marching
38 matrix
39 medium
40 metal-containing clusters
41 metal-containing groups
42 metal-containing nanoparticles
43 metal-containing precursors
44 method
45 model
46 nanoparticles
47 nucleation
48 organization
49 particle nucleation
50 particles
51 polymer matrix
52 polymer medium
53 polymers
54 precursors
55 process
56 scheme
57 simulations
58 solid phase thermal decomposition
59 solid-phase diffusion
60 solid-phase thermolysis
61 structural organization
62 thermal decomposition
63 thermolysis
64 schema:name Formation of metal-containing nanoparticles in polymer matrix. Computer simulation of clusterization kinetics during the solid-phase thermal decomposition of metal-containing precursors
65 schema:pagination 63-71
66 schema:productId N12470b5a3d984e32938e464c76cf9f99
67 Ncce1b1b73215497fa1a66c9b88650f72
68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012412554
69 https://doi.org/10.1007/s10595-005-0053-0
70 schema:sdDatePublished 2022-05-20T07:23
71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
72 schema:sdPublisher N0234337b190c49a3a3b2b55a038d653a
73 schema:url https://doi.org/10.1007/s10595-005-0053-0
74 sgo:license sg:explorer/license/
75 sgo:sdDataset articles
76 rdf:type schema:ScholarlyArticle
77 N0234337b190c49a3a3b2b55a038d653a schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N12470b5a3d984e32938e464c76cf9f99 schema:name doi
80 schema:value 10.1007/s10595-005-0053-0
81 rdf:type schema:PropertyValue
82 N2ac08437e54841a6a2147caa2d9faf7d schema:volumeNumber 67
83 rdf:type schema:PublicationVolume
84 N5e07fe3d870c467eb30631e8cac8db04 schema:issueNumber 1
85 rdf:type schema:PublicationIssue
86 Nc3fbfe8727fd4480a8726adf939ae16a rdf:first sg:person.012632141401.88
87 rdf:rest Nd77d20488c084594ba53116da1e927a6
88 Ncce1b1b73215497fa1a66c9b88650f72 schema:name dimensions_id
89 schema:value pub.1012412554
90 rdf:type schema:PropertyValue
91 Nd77d20488c084594ba53116da1e927a6 rdf:first sg:person.014374346045.54
92 rdf:rest Nfe7487bbcf8348c2ad61b6a825a3e399
93 Nf7f7c89a2e294e7eb07b5453eeb50554 rdf:first sg:person.012070341761.29
94 rdf:rest Nc3fbfe8727fd4480a8726adf939ae16a
95 Nfe7487bbcf8348c2ad61b6a825a3e399 rdf:first sg:person.016403071561.84
96 rdf:rest rdf:nil
97 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
98 schema:name Chemical Sciences
99 rdf:type schema:DefinedTerm
100 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
101 schema:name Physical Chemistry (incl. Structural)
102 rdf:type schema:DefinedTerm
103 sg:journal.1359001 schema:issn 0023-2912
104 1061-933X
105 schema:name Colloid Journal
106 schema:publisher Springer Nature
107 rdf:type schema:Periodical
108 sg:person.012070341761.29 schema:affiliation grid-institutes:grid.418949.9
109 schema:familyName Rozenberg
110 schema:givenName A. S.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012070341761.29
112 rdf:type schema:Person
113 sg:person.012632141401.88 schema:affiliation grid-institutes:grid.418949.9
114 schema:familyName Rozenberg
115 schema:givenName A. A.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012632141401.88
117 rdf:type schema:Person
118 sg:person.014374346045.54 schema:affiliation grid-institutes:grid.418949.9
119 schema:familyName Dzardimalieva
120 schema:givenName G. I.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014374346045.54
122 rdf:type schema:Person
123 sg:person.016403071561.84 schema:affiliation grid-institutes:grid.418949.9
124 schema:familyName Pomogailo
125 schema:givenName A. D.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016403071561.84
127 rdf:type schema:Person
128 sg:pub.10.1007/s10595-005-0051-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038051144
129 https://doi.org/10.1007/s10595-005-0051-2
130 rdf:type schema:CreativeWork
131 sg:pub.10.1023/a:1020950129165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040337035
132 https://doi.org/10.1023/a:1020950129165
133 rdf:type schema:CreativeWork
134 sg:pub.10.1023/b:nano.0000006091.92638.a5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025060551
135 https://doi.org/10.1023/b:nano.0000006091.92638.a5
136 rdf:type schema:CreativeWork
137 grid-institutes:grid.418949.9 schema:alternateName Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia
138 schema:name Institute of Problems of Chemical Physics, Russian Academy of Sciences, Chernogolovka, 142432, Moscow oblast, Russia
139 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...