Information-thermodynamic principle of the organization of chemical engineering systems View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-10-13

AUTHORS

V. A. Naletov, L. S. Gordeev, M. B. Glebov, A. Yu. Naletov

ABSTRACT

The information entropy-based quantitative interpretation of Roullier’s evolutionary law of the system organization of organisms is given as applied to chemical engineering systems. The relationships characterizing the optimal distribution of expenses on the organization of objects were derived for multipurpose processes and multiroute systems from the viewpoint of creating a highly organized chemical engineering system. More... »

PAGES

631

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0040579511050289

DOI

http://dx.doi.org/10.1134/s0040579511050289

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044456607


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/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0904", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.39572.3a", 
          "name": [
            "Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Naletov", 
        "givenName": "V. A.", 
        "id": "sg:person.015576745360.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015576745360.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.39572.3a", 
          "name": [
            "Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gordeev", 
        "givenName": "L. S.", 
        "id": "sg:person.014065653225.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014065653225.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.39572.3a", 
          "name": [
            "Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Glebov", 
        "givenName": "M. B.", 
        "id": "sg:person.016025443041.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016025443041.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.39572.3a", 
          "name": [
            "Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Naletov", 
        "givenName": "A. Yu.", 
        "id": "sg:person.014507624441.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014507624441.79"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2011-10-13", 
    "datePublishedReg": "2011-10-13", 
    "description": "The information entropy-based quantitative interpretation of Roullier\u2019s evolutionary law of the system organization of organisms is given as applied to chemical engineering systems. The relationships characterizing the optimal distribution of expenses on the organization of objects were derived for multipurpose processes and multiroute systems from the viewpoint of creating a highly organized chemical engineering system.", 
    "genre": "article", 
    "id": "sg:pub.10.1134/s0040579511050289", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136110", 
        "issn": [
          "0040-5795", 
          "1608-3431"
        ], 
        "name": "Theoretical Foundations of Chemical Engineering", 
        "publisher": "Pleiades Publishing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "45"
      }
    ], 
    "keywords": [
      "evolutionary law", 
      "organisms", 
      "organization", 
      "system organization", 
      "multipurpose process", 
      "system", 
      "distribution", 
      "process", 
      "relationship", 
      "expense", 
      "optimal distribution", 
      "quantitative interpretation", 
      "interpretation", 
      "chemical engineering systems", 
      "engineering systems", 
      "principles", 
      "viewpoint", 
      "law", 
      "objects", 
      "information entropy-based quantitative interpretation", 
      "entropy-based quantitative interpretation", 
      "Roullier\u2019s evolutionary law", 
      "organization of objects", 
      "Information-thermodynamic principle"
    ], 
    "name": "Information-thermodynamic principle of the organization of chemical engineering systems", 
    "pagination": "631", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1044456607"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0040579511050289"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0040579511050289", 
      "https://app.dimensions.ai/details/publication/pub.1044456607"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_534.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1134/s0040579511050289"
  }
]
 

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.10.1134/s0040579511050289'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s0040579511050289'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0040579511050289'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0040579511050289'


 

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

103 TRIPLES      21 PREDICATES      49 URIs      41 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0040579511050289 schema:about anzsrc-for:09
2 anzsrc-for:0904
3 schema:author N35e0a33f0b2044299d77d83f0cf28b9a
4 schema:datePublished 2011-10-13
5 schema:datePublishedReg 2011-10-13
6 schema:description The information entropy-based quantitative interpretation of Roullier’s evolutionary law of the system organization of organisms is given as applied to chemical engineering systems. The relationships characterizing the optimal distribution of expenses on the organization of objects were derived for multipurpose processes and multiroute systems from the viewpoint of creating a highly organized chemical engineering system.
7 schema:genre article
8 schema:inLanguage en
9 schema:isAccessibleForFree false
10 schema:isPartOf N772042be8cc14f99b0a8b8d21d59bd7f
11 Nea13532136e84431b3134b868ae83c12
12 sg:journal.1136110
13 schema:keywords Information-thermodynamic principle
14 Roullier’s evolutionary law
15 chemical engineering systems
16 distribution
17 engineering systems
18 entropy-based quantitative interpretation
19 evolutionary law
20 expense
21 information entropy-based quantitative interpretation
22 interpretation
23 law
24 multipurpose process
25 objects
26 optimal distribution
27 organisms
28 organization
29 organization of objects
30 principles
31 process
32 quantitative interpretation
33 relationship
34 system
35 system organization
36 viewpoint
37 schema:name Information-thermodynamic principle of the organization of chemical engineering systems
38 schema:pagination 631
39 schema:productId N8acb54ca08194a3f8ac6b49613614aee
40 Nda01ad68a722481995b70c00a374bdc1
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044456607
42 https://doi.org/10.1134/s0040579511050289
43 schema:sdDatePublished 2022-01-01T18:24
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher N7c250d4f38bd438eb8e49267943fc896
46 schema:url https://doi.org/10.1134/s0040579511050289
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N14e24e15e3cf4d0e8d9665331250e82a rdf:first sg:person.014065653225.63
51 rdf:rest N8a7ea17d973e4d029651eb990521472d
52 N35e0a33f0b2044299d77d83f0cf28b9a rdf:first sg:person.015576745360.67
53 rdf:rest N14e24e15e3cf4d0e8d9665331250e82a
54 N540cbe1e1f424669b3a72ae53cc16280 rdf:first sg:person.014507624441.79
55 rdf:rest rdf:nil
56 N772042be8cc14f99b0a8b8d21d59bd7f schema:volumeNumber 45
57 rdf:type schema:PublicationVolume
58 N7c250d4f38bd438eb8e49267943fc896 schema:name Springer Nature - SN SciGraph project
59 rdf:type schema:Organization
60 N8a7ea17d973e4d029651eb990521472d rdf:first sg:person.016025443041.98
61 rdf:rest N540cbe1e1f424669b3a72ae53cc16280
62 N8acb54ca08194a3f8ac6b49613614aee schema:name doi
63 schema:value 10.1134/s0040579511050289
64 rdf:type schema:PropertyValue
65 Nda01ad68a722481995b70c00a374bdc1 schema:name dimensions_id
66 schema:value pub.1044456607
67 rdf:type schema:PropertyValue
68 Nea13532136e84431b3134b868ae83c12 schema:issueNumber 5
69 rdf:type schema:PublicationIssue
70 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
71 schema:name Engineering
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
74 schema:name Chemical Engineering
75 rdf:type schema:DefinedTerm
76 sg:journal.1136110 schema:issn 0040-5795
77 1608-3431
78 schema:name Theoretical Foundations of Chemical Engineering
79 schema:publisher Pleiades Publishing
80 rdf:type schema:Periodical
81 sg:person.014065653225.63 schema:affiliation grid-institutes:grid.39572.3a
82 schema:familyName Gordeev
83 schema:givenName L. S.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014065653225.63
85 rdf:type schema:Person
86 sg:person.014507624441.79 schema:affiliation grid-institutes:grid.39572.3a
87 schema:familyName Naletov
88 schema:givenName A. Yu.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014507624441.79
90 rdf:type schema:Person
91 sg:person.015576745360.67 schema:affiliation grid-institutes:grid.39572.3a
92 schema:familyName Naletov
93 schema:givenName V. A.
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015576745360.67
95 rdf:type schema:Person
96 sg:person.016025443041.98 schema:affiliation grid-institutes:grid.39572.3a
97 schema:familyName Glebov
98 schema:givenName M. B.
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016025443041.98
100 rdf:type schema:Person
101 grid-institutes:grid.39572.3a schema:alternateName Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia
102 schema:name Mendeleev University of Chemical Technology of Russia, Miusskaya pl. 9, 125047, Moscow, Russia
103 rdf:type schema:Organization
 




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


...