Atomic-scale homogeneous plastic flow beyond near-theoretical yield stress in a metallic glass View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-02-26

AUTHORS

Jiaxin Yu, Amit Datye, Zheng Chen, Chao Zhou, Omur E. Dagdeviren, Jan Schroers, Udo D. Schwarz

ABSTRACT

The onset of yielding and the related atomic-scale plastic flow behavior of bulk metallic glasses at room temperature have not been fully understood due to the difficulty in performing the atomic-scale plastic deformation experiments needed to gain direct insight into the underlying fundamental deformation mechanisms. Here we overcome these limitations by combining a unique sample preparation method with atomic force microscopy-based indentation, which allows study of the yield stress, onset of yielding, and atomic-scale plastic flow of a platinum-based bulk metallic glass in volumes containing as little as approximately 1000 atoms. Yield stresses markedly higher than in conventional nanoindentation testing were observed, surpassing predictions from current models that relate yield stress to tested volumes; subsequent flow was then established to be homogeneous without exhibiting collective shear localization or loading rate dependence. Overall, variations in glass properties due to fluctuations of free volume are found to be much smaller than previously suggested. More... »

PAGES

22

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s43246-021-00124-3

DOI

http://dx.doi.org/10.1038/s43246-021-00124-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1135748369


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/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Key Laboratory of Testing Technology for Manufacturing Process in Ministry of Education, State Key Laboratory of Environment-friendly Energy Materials, Southwest University of Science and Technology, Mianyang, China", 
            "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "Jiaxin", 
        "id": "sg:person.010057147577.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010057147577.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Datye", 
        "givenName": "Amit", 
        "id": "sg:person.01027406472.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027406472.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Zheng", 
        "id": "sg:person.0575562303.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0575562303.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Chao", 
        "id": "sg:person.016613500643.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016613500643.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering, \u00c9cole de technologie sup\u00e9rieure, University of Quebec, Montreal, H3C 1K3, Quebec, Canada", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA", 
            "Department of Mechanical Engineering, \u00c9cole de technologie sup\u00e9rieure, University of Quebec, Montreal, H3C 1K3, Quebec, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dagdeviren", 
        "givenName": "Omur E.", 
        "id": "sg:person.0736466525.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736466525.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schroers", 
        "givenName": "Jan", 
        "id": "sg:person.01145527322.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145527322.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Chemical and Environmental Engineering, Yale University, New Haven, CT, USA", 
          "id": "http://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA", 
            "Department of Chemical and Environmental Engineering, Yale University, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schwarz", 
        "givenName": "Udo D.", 
        "id": "sg:person.01043170137.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043170137.23"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/srep29357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011611863", 
          "https://doi.org/10.1038/srep29357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms1619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011777417", 
          "https://doi.org/10.1038/ncomms1619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1557/mrs2007.125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067969207", 
          "https://doi.org/10.1557/mrs2007.125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat3024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007316134", 
          "https://doi.org/10.1038/nmat3024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-05682-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106100323", 
          "https://doi.org/10.1038/s41467-018-05682-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature14674", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014001816", 
          "https://doi.org/10.1038/nature14674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature13653", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014545962", 
          "https://doi.org/10.1038/nature13653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat1984", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030636840", 
          "https://doi.org/10.1038/nmat1984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1557/jmr.1992.1564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043643805", 
          "https://doi.org/10.1557/jmr.1992.1564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01397292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028375159", 
          "https://doi.org/10.1007/bf01397292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41586-020-2016-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1125108104", 
          "https://doi.org/10.1038/s41586-020-2016-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2622", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022408182", 
          "https://doi.org/10.1038/nmat2622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s42005-018-0076-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107926254", 
          "https://doi.org/10.1038/s42005-018-0076-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-02-26", 
    "datePublishedReg": "2021-02-26", 
    "description": "The onset of yielding and the related atomic-scale plastic flow behavior of bulk metallic glasses at room temperature have not been fully understood due to the difficulty in performing the atomic-scale plastic deformation experiments needed to gain direct insight into the underlying fundamental deformation mechanisms. Here we overcome these limitations by combining a unique sample preparation method with atomic force microscopy-based indentation, which allows study of\u00a0the yield stress, onset of yielding, and atomic-scale plastic flow of a platinum-based bulk metallic glass in volumes containing as little as approximately 1000 atoms. Yield stresses markedly higher than in conventional nanoindentation testing were observed, surpassing predictions from current models that relate yield stress to tested volumes; subsequent flow was then established to be homogeneous without exhibiting collective shear localization or loading rate dependence. Overall, variations in glass properties due to fluctuations of free volume are found to be much smaller than previously suggested.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/s43246-021-00124-3", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.8939310", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5495858", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.8452566", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1363526", 
        "issn": [
          "2662-4443"
        ], 
        "name": "Communications Materials", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2"
      }
    ], 
    "keywords": [
      "bulk metallic glass", 
      "yield stress", 
      "metallic glasses", 
      "plastic flow", 
      "platinum-based bulk metallic glass", 
      "plastic flow behavior", 
      "fundamental deformation mechanisms", 
      "homogeneous plastic flow", 
      "loading rate dependence", 
      "plastic deformation experiments", 
      "nanoindentation testing", 
      "deformation mechanisms", 
      "flow behavior", 
      "shear localization", 
      "deformation experiments", 
      "glass properties", 
      "rate dependence", 
      "room temperature", 
      "free volume", 
      "subsequent flow", 
      "glass", 
      "preparation method", 
      "flow", 
      "sample preparation method", 
      "stress", 
      "indentation", 
      "temperature", 
      "current models", 
      "direct insight", 
      "properties", 
      "volume", 
      "behavior", 
      "prediction", 
      "fluctuations", 
      "dependence", 
      "experiments", 
      "method", 
      "model", 
      "testing", 
      "variation", 
      "limitations", 
      "mechanism", 
      "atoms", 
      "difficulties", 
      "localization", 
      "study", 
      "insights", 
      "onset"
    ], 
    "name": "Atomic-scale homogeneous plastic flow beyond near-theoretical yield stress in a metallic glass", 
    "pagination": "22", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1135748369"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s43246-021-00124-3"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s43246-021-00124-3", 
      "https://app.dimensions.ai/details/publication/pub.1135748369"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_885.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/s43246-021-00124-3"
  }
]
 

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.10.1038/s43246-021-00124-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s43246-021-00124-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s43246-021-00124-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s43246-021-00124-3'


 

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

211 TRIPLES      21 PREDICATES      85 URIs      64 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s43246-021-00124-3 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N491d6b2857bf469e83430025f9a33af1
4 schema:citation sg:pub.10.1007/bf01397292
5 sg:pub.10.1038/nature13653
6 sg:pub.10.1038/nature14674
7 sg:pub.10.1038/ncomms1619
8 sg:pub.10.1038/nmat1984
9 sg:pub.10.1038/nmat2622
10 sg:pub.10.1038/nmat3024
11 sg:pub.10.1038/s41467-018-05682-8
12 sg:pub.10.1038/s41586-020-2016-3
13 sg:pub.10.1038/s42005-018-0076-6
14 sg:pub.10.1038/srep29357
15 sg:pub.10.1557/jmr.1992.1564
16 sg:pub.10.1557/mrs2007.125
17 schema:datePublished 2021-02-26
18 schema:datePublishedReg 2021-02-26
19 schema:description The onset of yielding and the related atomic-scale plastic flow behavior of bulk metallic glasses at room temperature have not been fully understood due to the difficulty in performing the atomic-scale plastic deformation experiments needed to gain direct insight into the underlying fundamental deformation mechanisms. Here we overcome these limitations by combining a unique sample preparation method with atomic force microscopy-based indentation, which allows study of the yield stress, onset of yielding, and atomic-scale plastic flow of a platinum-based bulk metallic glass in volumes containing as little as approximately 1000 atoms. Yield stresses markedly higher than in conventional nanoindentation testing were observed, surpassing predictions from current models that relate yield stress to tested volumes; subsequent flow was then established to be homogeneous without exhibiting collective shear localization or loading rate dependence. Overall, variations in glass properties due to fluctuations of free volume are found to be much smaller than previously suggested.
20 schema:genre article
21 schema:isAccessibleForFree true
22 schema:isPartOf N5596e01d44b341d583cecdecd12fb313
23 Nbe31bac1ceea444fae033dbbd06db04e
24 sg:journal.1363526
25 schema:keywords atoms
26 behavior
27 bulk metallic glass
28 current models
29 deformation experiments
30 deformation mechanisms
31 dependence
32 difficulties
33 direct insight
34 experiments
35 flow
36 flow behavior
37 fluctuations
38 free volume
39 fundamental deformation mechanisms
40 glass
41 glass properties
42 homogeneous plastic flow
43 indentation
44 insights
45 limitations
46 loading rate dependence
47 localization
48 mechanism
49 metallic glasses
50 method
51 model
52 nanoindentation testing
53 onset
54 plastic deformation experiments
55 plastic flow
56 plastic flow behavior
57 platinum-based bulk metallic glass
58 prediction
59 preparation method
60 properties
61 rate dependence
62 room temperature
63 sample preparation method
64 shear localization
65 stress
66 study
67 subsequent flow
68 temperature
69 testing
70 variation
71 volume
72 yield stress
73 schema:name Atomic-scale homogeneous plastic flow beyond near-theoretical yield stress in a metallic glass
74 schema:pagination 22
75 schema:productId N6214089b20bc4de0ad1e926cd9eb8a7a
76 N8248d82296794820a767f9a87bc0b51f
77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1135748369
78 https://doi.org/10.1038/s43246-021-00124-3
79 schema:sdDatePublished 2022-09-02T16:07
80 schema:sdLicense https://scigraph.springernature.com/explorer/license/
81 schema:sdPublisher N10cb2e8f02e742b9909b5e2cdd9dffc1
82 schema:url https://doi.org/10.1038/s43246-021-00124-3
83 sgo:license sg:explorer/license/
84 sgo:sdDataset articles
85 rdf:type schema:ScholarlyArticle
86 N10cb2e8f02e742b9909b5e2cdd9dffc1 schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 N491d6b2857bf469e83430025f9a33af1 rdf:first sg:person.010057147577.03
89 rdf:rest N6d59edf1be9443bc95ae99ce39048e62
90 N504548248e3645168037d921e4b47429 rdf:first sg:person.0736466525.38
91 rdf:rest N56f1b128f21f4eb189017ae0dfedc08d
92 N5596e01d44b341d583cecdecd12fb313 schema:issueNumber 1
93 rdf:type schema:PublicationIssue
94 N56f1b128f21f4eb189017ae0dfedc08d rdf:first sg:person.01145527322.19
95 rdf:rest N75df2cd7bd364468b5076810e9f0ac2b
96 N6214089b20bc4de0ad1e926cd9eb8a7a schema:name dimensions_id
97 schema:value pub.1135748369
98 rdf:type schema:PropertyValue
99 N6d59edf1be9443bc95ae99ce39048e62 rdf:first sg:person.01027406472.16
100 rdf:rest Nae4ea142ee684ccbbd4d4c6aa03c30e6
101 N75df2cd7bd364468b5076810e9f0ac2b rdf:first sg:person.01043170137.23
102 rdf:rest rdf:nil
103 N8248d82296794820a767f9a87bc0b51f schema:name doi
104 schema:value 10.1038/s43246-021-00124-3
105 rdf:type schema:PropertyValue
106 Nae4ea142ee684ccbbd4d4c6aa03c30e6 rdf:first sg:person.0575562303.61
107 rdf:rest Nfab99f904d6b43b5b0ccee62dc17d60c
108 Nbe31bac1ceea444fae033dbbd06db04e schema:volumeNumber 2
109 rdf:type schema:PublicationVolume
110 Nfab99f904d6b43b5b0ccee62dc17d60c rdf:first sg:person.016613500643.90
111 rdf:rest N504548248e3645168037d921e4b47429
112 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
113 schema:name Engineering
114 rdf:type schema:DefinedTerm
115 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
116 schema:name Materials Engineering
117 rdf:type schema:DefinedTerm
118 sg:grant.5495858 http://pending.schema.org/fundedItem sg:pub.10.1038/s43246-021-00124-3
119 rdf:type schema:MonetaryGrant
120 sg:grant.8452566 http://pending.schema.org/fundedItem sg:pub.10.1038/s43246-021-00124-3
121 rdf:type schema:MonetaryGrant
122 sg:grant.8939310 http://pending.schema.org/fundedItem sg:pub.10.1038/s43246-021-00124-3
123 rdf:type schema:MonetaryGrant
124 sg:journal.1363526 schema:issn 2662-4443
125 schema:name Communications Materials
126 schema:publisher Springer Nature
127 rdf:type schema:Periodical
128 sg:person.010057147577.03 schema:affiliation grid-institutes:grid.47100.32
129 schema:familyName Yu
130 schema:givenName Jiaxin
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010057147577.03
132 rdf:type schema:Person
133 sg:person.01027406472.16 schema:affiliation grid-institutes:grid.47100.32
134 schema:familyName Datye
135 schema:givenName Amit
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027406472.16
137 rdf:type schema:Person
138 sg:person.01043170137.23 schema:affiliation grid-institutes:grid.47100.32
139 schema:familyName Schwarz
140 schema:givenName Udo D.
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043170137.23
142 rdf:type schema:Person
143 sg:person.01145527322.19 schema:affiliation grid-institutes:grid.47100.32
144 schema:familyName Schroers
145 schema:givenName Jan
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145527322.19
147 rdf:type schema:Person
148 sg:person.016613500643.90 schema:affiliation grid-institutes:grid.47100.32
149 schema:familyName Zhou
150 schema:givenName Chao
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016613500643.90
152 rdf:type schema:Person
153 sg:person.0575562303.61 schema:affiliation grid-institutes:grid.47100.32
154 schema:familyName Chen
155 schema:givenName Zheng
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0575562303.61
157 rdf:type schema:Person
158 sg:person.0736466525.38 schema:affiliation grid-institutes:None
159 schema:familyName Dagdeviren
160 schema:givenName Omur E.
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736466525.38
162 rdf:type schema:Person
163 sg:pub.10.1007/bf01397292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028375159
164 https://doi.org/10.1007/bf01397292
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/nature13653 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014545962
167 https://doi.org/10.1038/nature13653
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/nature14674 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014001816
170 https://doi.org/10.1038/nature14674
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/ncomms1619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011777417
173 https://doi.org/10.1038/ncomms1619
174 rdf:type schema:CreativeWork
175 sg:pub.10.1038/nmat1984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030636840
176 https://doi.org/10.1038/nmat1984
177 rdf:type schema:CreativeWork
178 sg:pub.10.1038/nmat2622 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022408182
179 https://doi.org/10.1038/nmat2622
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/nmat3024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007316134
182 https://doi.org/10.1038/nmat3024
183 rdf:type schema:CreativeWork
184 sg:pub.10.1038/s41467-018-05682-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106100323
185 https://doi.org/10.1038/s41467-018-05682-8
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/s41586-020-2016-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125108104
188 https://doi.org/10.1038/s41586-020-2016-3
189 rdf:type schema:CreativeWork
190 sg:pub.10.1038/s42005-018-0076-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107926254
191 https://doi.org/10.1038/s42005-018-0076-6
192 rdf:type schema:CreativeWork
193 sg:pub.10.1038/srep29357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011611863
194 https://doi.org/10.1038/srep29357
195 rdf:type schema:CreativeWork
196 sg:pub.10.1557/jmr.1992.1564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043643805
197 https://doi.org/10.1557/jmr.1992.1564
198 rdf:type schema:CreativeWork
199 sg:pub.10.1557/mrs2007.125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067969207
200 https://doi.org/10.1557/mrs2007.125
201 rdf:type schema:CreativeWork
202 grid-institutes:None schema:alternateName Department of Mechanical Engineering, École de technologie supérieure, University of Quebec, Montreal, H3C 1K3, Quebec, Canada
203 schema:name Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA
204 Department of Mechanical Engineering, École de technologie supérieure, University of Quebec, Montreal, H3C 1K3, Quebec, Canada
205 rdf:type schema:Organization
206 grid-institutes:grid.47100.32 schema:alternateName Department of Chemical and Environmental Engineering, Yale University, New Haven, CT, USA
207 Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA
208 schema:name Department of Chemical and Environmental Engineering, Yale University, New Haven, CT, USA
209 Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT, USA
210 Key Laboratory of Testing Technology for Manufacturing Process in Ministry of Education, State Key Laboratory of Environment-friendly Energy Materials, Southwest University of Science and Technology, Mianyang, China
211 rdf:type schema:Organization
 




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


...