The Green tensor of Mindlin’s anisotropic first strain gradient elasticity View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Giacomo Po, Nikhil Chandra Admal, Markus Lazar

ABSTRACT

We derive the Green tensor of Mindlin’s anisotropic first strain gradient elasticity. The Green tensor is valid for arbitrary anisotropic materials, with up to 21 elastic constants and 171 gradient elastic constants in the general case of triclinic media. In contrast to its classical counterpart, the Green tensor is non-singular at the origin, and it converges to the classical tensor a few characteristic lengths away from the origin. Therefore, the Green tensor of Mindlin’s first strain gradient elasticity can be regarded as a physical regularization of the classical anisotropic Green tensor. The isotropic Green tensor and other special cases are recovered as particular instances of the general anisotropic result. The Green tensor is implemented numerically and applied to the Kelvin problem with elastic constants determined from interatomic potentials. Results are compared to molecular statics calculations carried out with the same potentials. More... »

PAGES

3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s41313-019-0015-2

DOI

http://dx.doi.org/10.1186/s41313-019-0015-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112775798


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/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Miami", 
          "id": "https://www.grid.ac/institutes/grid.26790.3a", 
          "name": [
            "Department of Mechanical and Aerospace Engineering, University of California Los Angeles, 90095, Los Angeles, CA, USA", 
            "Department of Mechanical and Aerospace Engineering, University of Miami, 33146, Coral Gables, FL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Po", 
        "givenName": "Giacomo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Materials Science and Engineering, University of California Los Angeles, 90095, Los Angeles, CA, USA", 
            "Department of Mechanical Science and Engineering University of Illinois Urbana\u2013Champaign, Illinois, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Admal", 
        "givenName": "Nikhil Chandra", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technical University of Darmstadt", 
          "id": "https://www.grid.ac/institutes/grid.6546.1", 
          "name": [
            "Department of Physics, Darmstadt University of Technology, Hochschulstr. 6, 64289, Darmstadt, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lazar", 
        "givenName": "Markus", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1103/physrevb.78.014110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001241960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.78.014110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001241960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-7683(68)90036-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006637163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-7683(68)90036-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006637163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physleta.2015.03.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009095502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.euromechsol.2014.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015154151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pssb.2220490238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017635695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-3489-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018135097", 
          "https://doi.org/10.1007/978-94-009-3489-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-3489-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018135097", 
          "https://doi.org/10.1007/978-94-009-3489-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijsolstr.2011.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018616055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0079-6425(80)90007-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020460654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0079-6425(80)90007-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020460654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmps.2016.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021400840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmps.2016.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021400840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmps.2016.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021400840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmps.2013.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021639452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/14786430802206482", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023331297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijengsci.2011.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027908213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-7225(63)90037-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032086374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-7225(63)90037-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032086374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00248490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035717737", 
          "https://doi.org/10.1007/bf00248490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00248490", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035717737", 
          "https://doi.org/10.1007/bf00248490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-30257-6_38", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040750204", 
          "https://doi.org/10.1007/978-3-662-30257-6_38"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00045712", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042411910", 
          "https://doi.org/10.1007/bf00045712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00045712", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042411910", 
          "https://doi.org/10.1007/bf00045712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cossms.2013.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043766183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/zamm.201500278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045974624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11837-011-0102-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046275833", 
          "https://doi.org/10.1007/s11837-011-0102-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-11634-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048013699", 
          "https://doi.org/10.1007/978-3-662-11634-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-11634-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048013699", 
          "https://doi.org/10.1007/978-3-662-11634-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4612-0555-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050388538", 
          "https://doi.org/10.1007/978-1-4612-0555-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4612-0555-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050388538", 
          "https://doi.org/10.1007/978-1-4612-0555-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3060143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057903769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.64.184102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060601170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.64.184102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060601170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9781139003582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098699673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.euromechsol.2018.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101376109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.euromechsol.2018.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101376109"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "We derive the Green tensor of Mindlin\u2019s anisotropic first strain gradient elasticity. The Green tensor is valid for arbitrary anisotropic materials, with up to 21 elastic constants and 171 gradient elastic constants in the general case of triclinic media. In contrast to its classical counterpart, the Green tensor is non-singular at the origin, and it converges to the classical tensor a few characteristic lengths away from the origin. Therefore, the Green tensor of Mindlin\u2019s first strain gradient elasticity can be regarded as a physical regularization of the classical anisotropic Green tensor. The isotropic Green tensor and other special cases are recovered as particular instances of the general anisotropic result. The Green tensor is implemented numerically and applied to the Kelvin problem with elastic constants determined from interatomic potentials. Results are compared to molecular statics calculations carried out with the same potentials.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s41313-019-0015-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7825035", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5018981", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4321827", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1290450", 
        "issn": [
          "2509-8012"
        ], 
        "name": "Materials Theory", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "The Green tensor of Mindlin\u2019s anisotropic first strain gradient elasticity", 
    "pagination": "3", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "71c761b9a0f7c14a54d5c68060a58f8e152dbf18607541d837945acf26bdc0f5"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s41313-019-0015-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112775798"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s41313-019-0015-2", 
      "https://app.dimensions.ai/details/publication/pub.1112775798"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:52", 
    "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/v90/0000000359_0000000359/records_29191_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs41313-019-0015-2"
  }
]
 

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.10.1186/s41313-019-0015-2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s41313-019-0015-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s41313-019-0015-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s41313-019-0015-2'


 

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

167 TRIPLES      21 PREDICATES      52 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s41313-019-0015-2 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N559678c99d2a49f3ac76c4efcc170719
4 schema:citation sg:pub.10.1007/978-1-4612-0555-5
5 sg:pub.10.1007/978-3-662-11634-0
6 sg:pub.10.1007/978-3-662-30257-6_38
7 sg:pub.10.1007/978-94-009-3489-4
8 sg:pub.10.1007/bf00045712
9 sg:pub.10.1007/bf00248490
10 sg:pub.10.1007/s11837-011-0102-6
11 https://doi.org/10.1002/pssb.2220490238
12 https://doi.org/10.1002/zamm.201500278
13 https://doi.org/10.1016/0020-7225(63)90037-5
14 https://doi.org/10.1016/0020-7683(68)90036-x
15 https://doi.org/10.1016/0079-6425(80)90007-9
16 https://doi.org/10.1016/j.cossms.2013.10.004
17 https://doi.org/10.1016/j.euromechsol.2014.10.006
18 https://doi.org/10.1016/j.euromechsol.2018.03.006
19 https://doi.org/10.1016/j.ijengsci.2011.02.011
20 https://doi.org/10.1016/j.ijsolstr.2011.03.006
21 https://doi.org/10.1016/j.jmps.2013.01.003
22 https://doi.org/10.1016/j.jmps.2016.11.005
23 https://doi.org/10.1016/j.physleta.2015.03.027
24 https://doi.org/10.1017/cbo9781139003582
25 https://doi.org/10.1063/1.3060143
26 https://doi.org/10.1080/14786430802206482
27 https://doi.org/10.1103/physrevb.64.184102
28 https://doi.org/10.1103/physrevb.78.014110
29 schema:datePublished 2019-12
30 schema:datePublishedReg 2019-12-01
31 schema:description We derive the Green tensor of Mindlin’s anisotropic first strain gradient elasticity. The Green tensor is valid for arbitrary anisotropic materials, with up to 21 elastic constants and 171 gradient elastic constants in the general case of triclinic media. In contrast to its classical counterpart, the Green tensor is non-singular at the origin, and it converges to the classical tensor a few characteristic lengths away from the origin. Therefore, the Green tensor of Mindlin’s first strain gradient elasticity can be regarded as a physical regularization of the classical anisotropic Green tensor. The isotropic Green tensor and other special cases are recovered as particular instances of the general anisotropic result. The Green tensor is implemented numerically and applied to the Kelvin problem with elastic constants determined from interatomic potentials. Results are compared to molecular statics calculations carried out with the same potentials.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf N4071e96402a4405d9b0a127b2b97889f
36 N861ada4bc60e4bf1a095627dced95128
37 sg:journal.1290450
38 schema:name The Green tensor of Mindlin’s anisotropic first strain gradient elasticity
39 schema:pagination 3
40 schema:productId N4dfb7d18b18040ab875790f9f371d8ea
41 N9988d5cb36974c29a20485fb5368de7b
42 N9bff91e86ee24ff5ac2474ff5be1a372
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112775798
44 https://doi.org/10.1186/s41313-019-0015-2
45 schema:sdDatePublished 2019-04-11T11:52
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N9efbd63149824ae2adefa67c41284bcb
48 schema:url https://link.springer.com/10.1186%2Fs41313-019-0015-2
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N16459400382e4c4eb2f1176b332aec59 rdf:first N36cce373b34245508a5afeb2fb0aba7f
53 rdf:rest rdf:nil
54 N331c4cf1156943f6a1a6226731361a67 rdf:first Naf89c95f4d414b9eb6a090a6cee91a53
55 rdf:rest N16459400382e4c4eb2f1176b332aec59
56 N342d41c7d74843c3a0b76c456a14bd2a schema:affiliation https://www.grid.ac/institutes/grid.26790.3a
57 schema:familyName Po
58 schema:givenName Giacomo
59 rdf:type schema:Person
60 N36cce373b34245508a5afeb2fb0aba7f schema:affiliation https://www.grid.ac/institutes/grid.6546.1
61 schema:familyName Lazar
62 schema:givenName Markus
63 rdf:type schema:Person
64 N4071e96402a4405d9b0a127b2b97889f schema:volumeNumber 3
65 rdf:type schema:PublicationVolume
66 N4dfb7d18b18040ab875790f9f371d8ea schema:name dimensions_id
67 schema:value pub.1112775798
68 rdf:type schema:PropertyValue
69 N559678c99d2a49f3ac76c4efcc170719 rdf:first N342d41c7d74843c3a0b76c456a14bd2a
70 rdf:rest N331c4cf1156943f6a1a6226731361a67
71 N861ada4bc60e4bf1a095627dced95128 schema:issueNumber 1
72 rdf:type schema:PublicationIssue
73 N9988d5cb36974c29a20485fb5368de7b schema:name readcube_id
74 schema:value 71c761b9a0f7c14a54d5c68060a58f8e152dbf18607541d837945acf26bdc0f5
75 rdf:type schema:PropertyValue
76 N9bff91e86ee24ff5ac2474ff5be1a372 schema:name doi
77 schema:value 10.1186/s41313-019-0015-2
78 rdf:type schema:PropertyValue
79 N9efbd63149824ae2adefa67c41284bcb schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 Naf89c95f4d414b9eb6a090a6cee91a53 schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
82 schema:familyName Admal
83 schema:givenName Nikhil Chandra
84 rdf:type schema:Person
85 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
86 schema:name Chemical Sciences
87 rdf:type schema:DefinedTerm
88 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
89 schema:name Physical Chemistry (incl. Structural)
90 rdf:type schema:DefinedTerm
91 sg:grant.4321827 http://pending.schema.org/fundedItem sg:pub.10.1186/s41313-019-0015-2
92 rdf:type schema:MonetaryGrant
93 sg:grant.5018981 http://pending.schema.org/fundedItem sg:pub.10.1186/s41313-019-0015-2
94 rdf:type schema:MonetaryGrant
95 sg:grant.7825035 http://pending.schema.org/fundedItem sg:pub.10.1186/s41313-019-0015-2
96 rdf:type schema:MonetaryGrant
97 sg:journal.1290450 schema:issn 2509-8012
98 schema:name Materials Theory
99 rdf:type schema:Periodical
100 sg:pub.10.1007/978-1-4612-0555-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050388538
101 https://doi.org/10.1007/978-1-4612-0555-5
102 rdf:type schema:CreativeWork
103 sg:pub.10.1007/978-3-662-11634-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048013699
104 https://doi.org/10.1007/978-3-662-11634-0
105 rdf:type schema:CreativeWork
106 sg:pub.10.1007/978-3-662-30257-6_38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040750204
107 https://doi.org/10.1007/978-3-662-30257-6_38
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/978-94-009-3489-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018135097
110 https://doi.org/10.1007/978-94-009-3489-4
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/bf00045712 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042411910
113 https://doi.org/10.1007/bf00045712
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/bf00248490 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035717737
116 https://doi.org/10.1007/bf00248490
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/s11837-011-0102-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046275833
119 https://doi.org/10.1007/s11837-011-0102-6
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1002/pssb.2220490238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017635695
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1002/zamm.201500278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045974624
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/0020-7225(63)90037-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032086374
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/0020-7683(68)90036-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006637163
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/0079-6425(80)90007-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020460654
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.cossms.2013.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043766183
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.euromechsol.2014.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015154151
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.euromechsol.2018.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101376109
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.ijengsci.2011.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027908213
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.ijsolstr.2011.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018616055
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.jmps.2013.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021639452
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.jmps.2016.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021400840
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.physleta.2015.03.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009095502
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1017/cbo9781139003582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098699673
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1063/1.3060143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057903769
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1080/14786430802206482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023331297
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1103/physrevb.64.184102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060601170
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1103/physrevb.78.014110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001241960
156 rdf:type schema:CreativeWork
157 https://www.grid.ac/institutes/grid.19006.3e schema:alternateName University of California Los Angeles
158 schema:name Department of Materials Science and Engineering, University of California Los Angeles, 90095, Los Angeles, CA, USA
159 Department of Mechanical Science and Engineering University of Illinois Urbana–Champaign, Illinois, USA
160 rdf:type schema:Organization
161 https://www.grid.ac/institutes/grid.26790.3a schema:alternateName University of Miami
162 schema:name Department of Mechanical and Aerospace Engineering, University of California Los Angeles, 90095, Los Angeles, CA, USA
163 Department of Mechanical and Aerospace Engineering, University of Miami, 33146, Coral Gables, FL, USA
164 rdf:type schema:Organization
165 https://www.grid.ac/institutes/grid.6546.1 schema:alternateName Technical University of Darmstadt
166 schema:name Department of Physics, Darmstadt University of Technology, Hochschulstr. 6, 64289, Darmstadt, Germany
167 rdf:type schema:Organization
 




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


...