A non-linear structural relaxation model for the refractive index of glass during annealing View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1978-04

AUTHORS

Henry S. -Y. Hsich

ABSTRACT

A two internal thermodynamic ordering parameter non-linear model is used to explain the structural relaxation of glass. These two internal thermodynamic ordering parameters are also used to characterize the frozen-in structural state of glass. For an isobaric isothermal annealing process, the internal state of the glass can be characterized by the two internal ordering parameters such as fictive temperature,Tf, and configurational part of activation energy,Hs. Therefore, these two internal thermodynamic ordering parameters are used in a non-linear structural relaxation model of glass for explaining the volume relaxation and predicting the refractive index of glass during annealing, and they are also extended to characterize the thermal history of the frozen-in structure of the glassy state. More... »

PAGES

750-758

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00570509

DOI

http://dx.doi.org/10.1007/bf00570509

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042073016


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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Brockway Glass Company Inc., Engineering and Research Building, 15824, Brockway, Pennsylvania, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hsich", 
        "givenName": "Henry S. -Y.", 
        "id": "sg:person.011123743405.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011123743405.43"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0022-3093(74)90036-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000898239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-3093(74)90036-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000898239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.1953.0044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004147505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02009736", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008249000", 
          "https://doi.org/10.1007/bf02009736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02009736", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008249000", 
          "https://doi.org/10.1007/bf02009736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1151-2916.1946.tb11592.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009476126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-3093(74)90033-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023574202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-3093(74)90033-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023574202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5254/1.3547192", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037749268"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/zaac.19312030120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039095399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1151-2916.1965.tb14805.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046088546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00018735300101252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047072464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00018735300101252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047072464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1151-2916.1971.tb12186.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047966550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1151-2916.1970.tb12137.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049438226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01968380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050619257", 
          "https://doi.org/10.1007/bf01968380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1663027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057741410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.321441", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057919473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.6028/jres.034.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073596415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.6028/jres.070a.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073599197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.6028/jres.071a.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073599316"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1978-04", 
    "datePublishedReg": "1978-04-01", 
    "description": "A two internal thermodynamic ordering parameter non-linear model is used to explain the structural relaxation of glass. These two internal thermodynamic ordering parameters are also used to characterize the frozen-in structural state of glass. For an isobaric isothermal annealing process, the internal state of the glass can be characterized by the two internal ordering parameters such as fictive temperature,Tf, and configurational part of activation energy,Hs. Therefore, these two internal thermodynamic ordering parameters are used in a non-linear structural relaxation model of glass for explaining the volume relaxation and predicting the refractive index of glass during annealing, and they are also extended to characterize the thermal history of the frozen-in structure of the glassy state.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00570509", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1312116", 
        "issn": [
          "0022-2461", 
          "1573-4811"
        ], 
        "name": "Journal of Materials Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "name": "A non-linear structural relaxation model for the refractive index of glass during annealing", 
    "pagination": "750-758", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00570509"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c86a19874fa3e7811fb8bbd4cd83e25aa1cdbd5eb7be7763a06a18fb8ec5333c"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042073016"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00570509", 
      "https://app.dimensions.ai/details/publication/pub.1042073016"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:02", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000375_0000000375/records_91453_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00570509"
  }
]
 

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/bf00570509'

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/bf00570509'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00570509'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00570509'


 

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

113 TRIPLES      21 PREDICATES      44 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00570509 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author Nae44c2e07ad543dbbc08992dd1cee853
4 schema:citation sg:pub.10.1007/bf01968380
5 sg:pub.10.1007/bf02009736
6 https://doi.org/10.1002/zaac.19312030120
7 https://doi.org/10.1016/0022-3093(74)90033-7
8 https://doi.org/10.1016/0022-3093(74)90036-2
9 https://doi.org/10.1063/1.1663027
10 https://doi.org/10.1063/1.321441
11 https://doi.org/10.1080/00018735300101252
12 https://doi.org/10.1098/rspa.1953.0044
13 https://doi.org/10.1111/j.1151-2916.1946.tb11592.x
14 https://doi.org/10.1111/j.1151-2916.1965.tb14805.x
15 https://doi.org/10.1111/j.1151-2916.1970.tb12137.x
16 https://doi.org/10.1111/j.1151-2916.1971.tb12186.x
17 https://doi.org/10.5254/1.3547192
18 https://doi.org/10.6028/jres.034.007
19 https://doi.org/10.6028/jres.070a.011
20 https://doi.org/10.6028/jres.071a.031
21 schema:datePublished 1978-04
22 schema:datePublishedReg 1978-04-01
23 schema:description A two internal thermodynamic ordering parameter non-linear model is used to explain the structural relaxation of glass. These two internal thermodynamic ordering parameters are also used to characterize the frozen-in structural state of glass. For an isobaric isothermal annealing process, the internal state of the glass can be characterized by the two internal ordering parameters such as fictive temperature,Tf, and configurational part of activation energy,Hs. Therefore, these two internal thermodynamic ordering parameters are used in a non-linear structural relaxation model of glass for explaining the volume relaxation and predicting the refractive index of glass during annealing, and they are also extended to characterize the thermal history of the frozen-in structure of the glassy state.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree false
27 schema:isPartOf Nf2e5a52b19664ee69b3b119d5b9eff4d
28 Nfe06ad573b08465eb1d353d81dc2ec18
29 sg:journal.1312116
30 schema:name A non-linear structural relaxation model for the refractive index of glass during annealing
31 schema:pagination 750-758
32 schema:productId Na1c6e5f294cb47999981efe16159eed9
33 Nb49964bc3ebd4eb98a9d87ed8147eb48
34 Nb7fef02aa86a42f5b83c3eb064abb37c
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042073016
36 https://doi.org/10.1007/bf00570509
37 schema:sdDatePublished 2019-04-15T09:02
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher N4e9060638c724a80af97cf2c89153ebd
40 schema:url http://link.springer.com/10.1007/BF00570509
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N3928c0d32eee454abbb25e3e91b035f6 schema:name Brockway Glass Company Inc., Engineering and Research Building, 15824, Brockway, Pennsylvania, USA
45 rdf:type schema:Organization
46 N4e9060638c724a80af97cf2c89153ebd schema:name Springer Nature - SN SciGraph project
47 rdf:type schema:Organization
48 Na1c6e5f294cb47999981efe16159eed9 schema:name dimensions_id
49 schema:value pub.1042073016
50 rdf:type schema:PropertyValue
51 Nae44c2e07ad543dbbc08992dd1cee853 rdf:first sg:person.011123743405.43
52 rdf:rest rdf:nil
53 Nb49964bc3ebd4eb98a9d87ed8147eb48 schema:name readcube_id
54 schema:value c86a19874fa3e7811fb8bbd4cd83e25aa1cdbd5eb7be7763a06a18fb8ec5333c
55 rdf:type schema:PropertyValue
56 Nb7fef02aa86a42f5b83c3eb064abb37c schema:name doi
57 schema:value 10.1007/bf00570509
58 rdf:type schema:PropertyValue
59 Nf2e5a52b19664ee69b3b119d5b9eff4d schema:volumeNumber 13
60 rdf:type schema:PublicationVolume
61 Nfe06ad573b08465eb1d353d81dc2ec18 schema:issueNumber 4
62 rdf:type schema:PublicationIssue
63 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
64 schema:name Physical Sciences
65 rdf:type schema:DefinedTerm
66 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
67 schema:name Other Physical Sciences
68 rdf:type schema:DefinedTerm
69 sg:journal.1312116 schema:issn 0022-2461
70 1573-4811
71 schema:name Journal of Materials Science
72 rdf:type schema:Periodical
73 sg:person.011123743405.43 schema:affiliation N3928c0d32eee454abbb25e3e91b035f6
74 schema:familyName Hsich
75 schema:givenName Henry S. -Y.
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011123743405.43
77 rdf:type schema:Person
78 sg:pub.10.1007/bf01968380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050619257
79 https://doi.org/10.1007/bf01968380
80 rdf:type schema:CreativeWork
81 sg:pub.10.1007/bf02009736 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008249000
82 https://doi.org/10.1007/bf02009736
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1002/zaac.19312030120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039095399
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1016/0022-3093(74)90033-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023574202
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1016/0022-3093(74)90036-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000898239
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1063/1.1663027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057741410
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1063/1.321441 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057919473
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1080/00018735300101252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047072464
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1098/rspa.1953.0044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004147505
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1111/j.1151-2916.1946.tb11592.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009476126
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1111/j.1151-2916.1965.tb14805.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046088546
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1111/j.1151-2916.1970.tb12137.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049438226
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1111/j.1151-2916.1971.tb12186.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047966550
105 rdf:type schema:CreativeWork
106 https://doi.org/10.5254/1.3547192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037749268
107 rdf:type schema:CreativeWork
108 https://doi.org/10.6028/jres.034.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073596415
109 rdf:type schema:CreativeWork
110 https://doi.org/10.6028/jres.070a.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073599197
111 rdf:type schema:CreativeWork
112 https://doi.org/10.6028/jres.071a.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073599316
113 rdf:type schema:CreativeWork
 




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


...