Reversible defect engineering in graphene grain boundaries View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Krishna Balasubramanian, Tathagatha Biswas, Priyadarshini Ghosh, Swathi Suran, Abhishek Mishra, Rohan Mishra, Ritesh Sachan, Manish Jain, Manoj Varma, Rudra Pratap, Srinivasan Raghavan

ABSTRACT

Research efforts in large area graphene synthesis have been focused on increasing grain size. Here, it is shown that, beyond 1 μm grain size, grain boundary engineering determines the electronic properties of the monolayer. It is established by chemical vapor deposition experiments and first-principle calculations that there is a thermodynamic correlation between the vapor phase chemistry and carbon potential at grain boundaries and triple junctions. As a result, boundary formation can be controlled, and well-formed boundaries can be intentionally made defective, reversibly. In 100 µm long channels this aspect is demonstrated by reversibly changing room temperature electronic mobilities from 1000 to 20,000 cm2 V-1 s-1. Water permeation experiments show that changes are localized to grain boundaries. Electron microscopy is further used to correlate the global vapor phase conditions and the boundary defect types. Such thermodynamic control is essential to enable consistent growth and control of two-dimensional layer properties over large areas. More... »

PAGES

1090

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41467-019-09000-8

DOI

http://dx.doi.org/10.1038/s41467-019-09000-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112575944

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30842414


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/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Technion \u2013 Israel Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6451.6", 
          "name": [
            "Center for Nanoscience and Engineering, Indian Institute of Science, 560012, Bangalore, India", 
            "Electrical Engineering, Technion Israel Institute of Technology, 3200003, Haifa, Israel"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Balasubramanian", 
        "givenName": "Krishna", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Science Bangalore", 
          "id": "https://www.grid.ac/institutes/grid.34980.36", 
          "name": [
            "Physics Department, Indian Institute of Science, 560012, Bangalore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Biswas", 
        "givenName": "Tathagatha", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Technion \u2013 Israel Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6451.6", 
          "name": [
            "Center for Nanoscience and Engineering, Indian Institute of Science, 560012, Bangalore, India", 
            "Materials Research Center, Indian Institute of Science, 560012, Bangalore, India", 
            "Materials Engineering, Technion Israel Institute of Technology, 3200003, Haifa, Israel"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ghosh", 
        "givenName": "Priyadarshini", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Science Bangalore", 
          "id": "https://www.grid.ac/institutes/grid.34980.36", 
          "name": [
            "Center for Nanoscience and Engineering, Indian Institute of Science, 560012, Bangalore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suran", 
        "givenName": "Swathi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Science Bangalore", 
          "id": "https://www.grid.ac/institutes/grid.34980.36", 
          "name": [
            "Center for Nanoscience and Engineering, Indian Institute of Science, 560012, Bangalore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mishra", 
        "givenName": "Abhishek", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Washington University in St. Louis", 
          "id": "https://www.grid.ac/institutes/grid.4367.6", 
          "name": [
            "Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, 63130, Washington, MO, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mishra", 
        "givenName": "Rohan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oklahoma State University", 
          "id": "https://www.grid.ac/institutes/grid.65519.3e", 
          "name": [
            "Material Science and Technology division, Oak Ridge National Laboratory, 37831, Tennessee, USA", 
            "School of Mechanical and Aerospace Engineering, Oklahoma State University, 74078, Stillwater, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sachan", 
        "givenName": "Ritesh", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Science Bangalore", 
          "id": "https://www.grid.ac/institutes/grid.34980.36", 
          "name": [
            "Physics Department, Indian Institute of Science, 560012, Bangalore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jain", 
        "givenName": "Manish", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Science Bangalore", 
          "id": "https://www.grid.ac/institutes/grid.34980.36", 
          "name": [
            "Center for Nanoscience and Engineering, Indian Institute of Science, 560012, Bangalore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Varma", 
        "givenName": "Manoj", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Science Bangalore", 
          "id": "https://www.grid.ac/institutes/grid.34980.36", 
          "name": [
            "Center for Nanoscience and Engineering, Indian Institute of Science, 560012, Bangalore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pratap", 
        "givenName": "Rudra", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Indian Institute of Science Bangalore", 
          "id": "https://www.grid.ac/institutes/grid.34980.36", 
          "name": [
            "Center for Nanoscience and Engineering, Indian Institute of Science, 560012, Bangalore, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Raghavan", 
        "givenName": "Srinivasan", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1039/c6sc04535a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003484709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn303352k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004583184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1171245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006821145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1171245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006821145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c0jm02126a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010193210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013560949", 
          "https://doi.org/10.1038/nmat2830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat2830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013560949", 
          "https://doi.org/10.1038/nmat2830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ssc.2012.04.045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015368906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ssc.2007.03.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018103421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018507382", 
          "https://doi.org/10.1038/nature09579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018507382", 
          "https://doi.org/10.1038/nature09579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn102598m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028137222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/2053-1583/aa5147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032616160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep25011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034724219", 
          "https://doi.org/10.1038/srep25011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2014.166", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038425024", 
          "https://doi.org/10.1038/nnano.2014.166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4943085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039860734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl4023572", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041938985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1367-2630/15/5/053012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042147790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09718", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043756216", 
          "https://doi.org/10.1038/nature09718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-2614(97)00555-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048851497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1218948", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052113453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ar300190z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055150274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp510556t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056103902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl303934v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056219788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn403056k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056225413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3592338", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057980919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.61.14095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060595315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.61.14095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060595315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jproc.2013.2260114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061297801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1116/1.4862154", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062177123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.5030082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105832477"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Research efforts in large area graphene synthesis have been focused on increasing grain size. Here, it is shown that, beyond 1\u2009\u03bcm grain size, grain boundary engineering determines the electronic properties of the monolayer. It is established by chemical vapor deposition experiments and first-principle calculations that there is a thermodynamic correlation between the vapor phase chemistry and carbon potential at grain boundaries and triple junctions. As a result, boundary formation can be controlled, and well-formed boundaries can be intentionally made defective, reversibly. In 100\u2009\u00b5m long channels this aspect is demonstrated by reversibly changing room temperature electronic mobilities from 1000 to 20,000\u2009cm2\u2009V-1\u2009s-1. Water permeation experiments show that changes are localized to grain boundaries. Electron microscopy is further used to correlate the global vapor phase conditions and the boundary defect types. Such thermodynamic control is essential to enable consistent growth and control of two-dimensional layer properties over large areas.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41467-019-09000-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6938333", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1043282", 
        "issn": [
          "2041-1723"
        ], 
        "name": "Nature Communications", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Reversible defect engineering in graphene grain boundaries", 
    "pagination": "1090", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "87cb9c26d475933f12bc5b46409b67f514b95f9284fff7e2af6511f13f81e6fd"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30842414"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101528555"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41467-019-09000-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112575944"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41467-019-09000-8", 
      "https://app.dimensions.ai/details/publication/pub.1112575944"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:08", 
    "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/v90/0000000367_0000000367/records_88227_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41467-019-09000-8"
  }
]
 

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/s41467-019-09000-8'

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/s41467-019-09000-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09000-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09000-8'


 

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

229 TRIPLES      21 PREDICATES      56 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41467-019-09000-8 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N01400fbef0cd46df87542d335739df9c
4 schema:citation sg:pub.10.1038/nature09579
5 sg:pub.10.1038/nature09718
6 sg:pub.10.1038/nmat2830
7 sg:pub.10.1038/nnano.2014.166
8 sg:pub.10.1038/srep25011
9 https://doi.org/10.1016/j.ssc.2007.03.052
10 https://doi.org/10.1016/j.ssc.2012.04.045
11 https://doi.org/10.1016/s0009-2614(97)00555-1
12 https://doi.org/10.1021/ar300190z
13 https://doi.org/10.1021/jp510556t
14 https://doi.org/10.1021/nl303934v
15 https://doi.org/10.1021/nl4023572
16 https://doi.org/10.1021/nn102598m
17 https://doi.org/10.1021/nn303352k
18 https://doi.org/10.1021/nn403056k
19 https://doi.org/10.1039/c0jm02126a
20 https://doi.org/10.1039/c6sc04535a
21 https://doi.org/10.1063/1.3592338
22 https://doi.org/10.1063/1.4943085
23 https://doi.org/10.1063/1.5030082
24 https://doi.org/10.1088/1367-2630/15/5/053012
25 https://doi.org/10.1088/2053-1583/aa5147
26 https://doi.org/10.1103/physrevb.61.14095
27 https://doi.org/10.1109/jproc.2013.2260114
28 https://doi.org/10.1116/1.4862154
29 https://doi.org/10.1126/science.1171245
30 https://doi.org/10.1126/science.1218948
31 schema:datePublished 2019-12
32 schema:datePublishedReg 2019-12-01
33 schema:description Research efforts in large area graphene synthesis have been focused on increasing grain size. Here, it is shown that, beyond 1 μm grain size, grain boundary engineering determines the electronic properties of the monolayer. It is established by chemical vapor deposition experiments and first-principle calculations that there is a thermodynamic correlation between the vapor phase chemistry and carbon potential at grain boundaries and triple junctions. As a result, boundary formation can be controlled, and well-formed boundaries can be intentionally made defective, reversibly. In 100 µm long channels this aspect is demonstrated by reversibly changing room temperature electronic mobilities from 1000 to 20,000 cm<sup>2</sup> V<sup>-1</sup> s<sup>-1</sup>. Water permeation experiments show that changes are localized to grain boundaries. Electron microscopy is further used to correlate the global vapor phase conditions and the boundary defect types. Such thermodynamic control is essential to enable consistent growth and control of two-dimensional layer properties over large areas.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N3278cc077af44470925e05c6bcd046b6
38 N33f72d3897714bbc9ad81c857868b44b
39 sg:journal.1043282
40 schema:name Reversible defect engineering in graphene grain boundaries
41 schema:pagination 1090
42 schema:productId N1bdeb8b4150047709a4026aa451c1b87
43 N650f9959e2894c109a7de01b71a2ada1
44 N80d9469e3bc84533978bcfd4a4c17b09
45 N96f9aa3a575146ff80ce3bcd66d87a9c
46 Nfdc19c0bd1294c6c93525bb2c5507326
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112575944
48 https://doi.org/10.1038/s41467-019-09000-8
49 schema:sdDatePublished 2019-04-11T13:08
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher Naf4b96cd138d47f58158c94b2104ec1e
52 schema:url https://www.nature.com/articles/s41467-019-09000-8
53 sgo:license sg:explorer/license/
54 sgo:sdDataset articles
55 rdf:type schema:ScholarlyArticle
56 N01400fbef0cd46df87542d335739df9c rdf:first Nfbc5991ea77c4f4a9df29da0409ace6e
57 rdf:rest N0c038079227844658846009db8ccd69c
58 N0c038079227844658846009db8ccd69c rdf:first N53c84f2d158c4824a58d4f982c45d54d
59 rdf:rest Nc4db1e0e7ecb4418a5de32265b220dc4
60 N1bdeb8b4150047709a4026aa451c1b87 schema:name nlm_unique_id
61 schema:value 101528555
62 rdf:type schema:PropertyValue
63 N30211a080cea4721bc36a3a655ca5bb8 rdf:first N7d9930508caf4edaba6126c7f3abcb96
64 rdf:rest N8ac26c574de44ae798131c873ab9b1d2
65 N3278cc077af44470925e05c6bcd046b6 schema:volumeNumber 10
66 rdf:type schema:PublicationVolume
67 N33f72d3897714bbc9ad81c857868b44b schema:issueNumber 1
68 rdf:type schema:PublicationIssue
69 N5069584eacd34364a6d10c0b42f0a542 schema:affiliation https://www.grid.ac/institutes/grid.34980.36
70 schema:familyName Mishra
71 schema:givenName Abhishek
72 rdf:type schema:Person
73 N53c84f2d158c4824a58d4f982c45d54d schema:affiliation https://www.grid.ac/institutes/grid.34980.36
74 schema:familyName Biswas
75 schema:givenName Tathagatha
76 rdf:type schema:Person
77 N650f9959e2894c109a7de01b71a2ada1 schema:name readcube_id
78 schema:value 87cb9c26d475933f12bc5b46409b67f514b95f9284fff7e2af6511f13f81e6fd
79 rdf:type schema:PropertyValue
80 N6b4828899aa14a32b53bc9a3cfabbd75 rdf:first Nc74f6cae023b42139da8ec626cab678e
81 rdf:rest N8f3fdcc22ca3490a9c5d1e88bd189b92
82 N736f50f359a64fc08f589a48bf7c0418 schema:affiliation https://www.grid.ac/institutes/grid.65519.3e
83 schema:familyName Sachan
84 schema:givenName Ritesh
85 rdf:type schema:Person
86 N7d9930508caf4edaba6126c7f3abcb96 schema:affiliation https://www.grid.ac/institutes/grid.34980.36
87 schema:familyName Varma
88 schema:givenName Manoj
89 rdf:type schema:Person
90 N80d9469e3bc84533978bcfd4a4c17b09 schema:name doi
91 schema:value 10.1038/s41467-019-09000-8
92 rdf:type schema:PropertyValue
93 N8ac26c574de44ae798131c873ab9b1d2 rdf:first Nab4616accf9d418ea5293c63e74b7e96
94 rdf:rest N9f0c4ea3b3fa4e4b950e809daafd3acd
95 N8c73f80b86ef4bdd829878a6a863d65b schema:affiliation https://www.grid.ac/institutes/grid.34980.36
96 schema:familyName Jain
97 schema:givenName Manish
98 rdf:type schema:Person
99 N8f3fdcc22ca3490a9c5d1e88bd189b92 rdf:first N736f50f359a64fc08f589a48bf7c0418
100 rdf:rest Ndfa9291246d849c9a394020eb76e3ea0
101 N96f9aa3a575146ff80ce3bcd66d87a9c schema:name pubmed_id
102 schema:value 30842414
103 rdf:type schema:PropertyValue
104 N99841d48486f41e0aeb6695aee0e2af9 rdf:first N5069584eacd34364a6d10c0b42f0a542
105 rdf:rest N6b4828899aa14a32b53bc9a3cfabbd75
106 N9f0c4ea3b3fa4e4b950e809daafd3acd rdf:first Nbc6d6739c4bd437f97d52c61023d9615
107 rdf:rest rdf:nil
108 Nab4616accf9d418ea5293c63e74b7e96 schema:affiliation https://www.grid.ac/institutes/grid.34980.36
109 schema:familyName Pratap
110 schema:givenName Rudra
111 rdf:type schema:Person
112 Nadb3f696bcc64fdeb16d26a4dbbbd633 rdf:first Nf7c3ba1615d641ac9ce4bc665bcf3fdc
113 rdf:rest N99841d48486f41e0aeb6695aee0e2af9
114 Naf4b96cd138d47f58158c94b2104ec1e schema:name Springer Nature - SN SciGraph project
115 rdf:type schema:Organization
116 Nbc6d6739c4bd437f97d52c61023d9615 schema:affiliation https://www.grid.ac/institutes/grid.34980.36
117 schema:familyName Raghavan
118 schema:givenName Srinivasan
119 rdf:type schema:Person
120 Nc4db1e0e7ecb4418a5de32265b220dc4 rdf:first Nc5d00e25a59d402e9e8107380588a2ed
121 rdf:rest Nadb3f696bcc64fdeb16d26a4dbbbd633
122 Nc5d00e25a59d402e9e8107380588a2ed schema:affiliation https://www.grid.ac/institutes/grid.6451.6
123 schema:familyName Ghosh
124 schema:givenName Priyadarshini
125 rdf:type schema:Person
126 Nc74f6cae023b42139da8ec626cab678e schema:affiliation https://www.grid.ac/institutes/grid.4367.6
127 schema:familyName Mishra
128 schema:givenName Rohan
129 rdf:type schema:Person
130 Ndfa9291246d849c9a394020eb76e3ea0 rdf:first N8c73f80b86ef4bdd829878a6a863d65b
131 rdf:rest N30211a080cea4721bc36a3a655ca5bb8
132 Nf7c3ba1615d641ac9ce4bc665bcf3fdc schema:affiliation https://www.grid.ac/institutes/grid.34980.36
133 schema:familyName Suran
134 schema:givenName Swathi
135 rdf:type schema:Person
136 Nfbc5991ea77c4f4a9df29da0409ace6e schema:affiliation https://www.grid.ac/institutes/grid.6451.6
137 schema:familyName Balasubramanian
138 schema:givenName Krishna
139 rdf:type schema:Person
140 Nfdc19c0bd1294c6c93525bb2c5507326 schema:name dimensions_id
141 schema:value pub.1112575944
142 rdf:type schema:PropertyValue
143 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
144 schema:name Engineering
145 rdf:type schema:DefinedTerm
146 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
147 schema:name Materials Engineering
148 rdf:type schema:DefinedTerm
149 sg:grant.6938333 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-019-09000-8
150 rdf:type schema:MonetaryGrant
151 sg:journal.1043282 schema:issn 2041-1723
152 schema:name Nature Communications
153 rdf:type schema:Periodical
154 sg:pub.10.1038/nature09579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018507382
155 https://doi.org/10.1038/nature09579
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/nature09718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043756216
158 https://doi.org/10.1038/nature09718
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/nmat2830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013560949
161 https://doi.org/10.1038/nmat2830
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/nnano.2014.166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038425024
164 https://doi.org/10.1038/nnano.2014.166
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/srep25011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034724219
167 https://doi.org/10.1038/srep25011
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.ssc.2007.03.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018103421
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.ssc.2012.04.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015368906
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/s0009-2614(97)00555-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048851497
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1021/ar300190z schema:sameAs https://app.dimensions.ai/details/publication/pub.1055150274
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1021/jp510556t schema:sameAs https://app.dimensions.ai/details/publication/pub.1056103902
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1021/nl303934v schema:sameAs https://app.dimensions.ai/details/publication/pub.1056219788
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1021/nl4023572 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041938985
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1021/nn102598m schema:sameAs https://app.dimensions.ai/details/publication/pub.1028137222
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1021/nn303352k schema:sameAs https://app.dimensions.ai/details/publication/pub.1004583184
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1021/nn403056k schema:sameAs https://app.dimensions.ai/details/publication/pub.1056225413
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1039/c0jm02126a schema:sameAs https://app.dimensions.ai/details/publication/pub.1010193210
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1039/c6sc04535a schema:sameAs https://app.dimensions.ai/details/publication/pub.1003484709
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1063/1.3592338 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057980919
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1063/1.4943085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039860734
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1063/1.5030082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105832477
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1088/1367-2630/15/5/053012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042147790
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1088/2053-1583/aa5147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032616160
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1103/physrevb.61.14095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060595315
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1109/jproc.2013.2260114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061297801
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1116/1.4862154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062177123
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1126/science.1171245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006821145
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1126/science.1218948 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052113453
212 rdf:type schema:CreativeWork
213 https://www.grid.ac/institutes/grid.34980.36 schema:alternateName Indian Institute of Science Bangalore
214 schema:name Center for Nanoscience and Engineering, Indian Institute of Science, 560012, Bangalore, India
215 Physics Department, Indian Institute of Science, 560012, Bangalore, India
216 rdf:type schema:Organization
217 https://www.grid.ac/institutes/grid.4367.6 schema:alternateName Washington University in St. Louis
218 schema:name Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, 63130, Washington, MO, USA
219 rdf:type schema:Organization
220 https://www.grid.ac/institutes/grid.6451.6 schema:alternateName Technion – Israel Institute of Technology
221 schema:name Center for Nanoscience and Engineering, Indian Institute of Science, 560012, Bangalore, India
222 Electrical Engineering, Technion Israel Institute of Technology, 3200003, Haifa, Israel
223 Materials Engineering, Technion Israel Institute of Technology, 3200003, Haifa, Israel
224 Materials Research Center, Indian Institute of Science, 560012, Bangalore, India
225 rdf:type schema:Organization
226 https://www.grid.ac/institutes/grid.65519.3e schema:alternateName Oklahoma State University
227 schema:name Material Science and Technology division, Oak Ridge National Laboratory, 37831, Tennessee, USA
228 School of Mechanical and Aerospace Engineering, Oklahoma State University, 74078, Stillwater, OK, USA
229 rdf:type schema:Organization
 




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


...