Graphene-coated microballs for a hyper-sensitive vacuum sensor View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Sung Il Ahn, Yong Woo Kim, Seong Eui Lee, Minjun Kim, Kyeong-Keun Choi, Jung-Chul Park

ABSTRACT

Reduced graphene oxide (RGO)-coated microballs of poly (methyl methacrylate) (PMMA) used for fabricating three-dimensional sensor (3D sensor), which are expected to exhibit high sensitivity compared with conventional two-dimensional (2D) sensors, were prepared using a reaction-based assembly process. The sheet resistance and transmittance of the RGO-coated balls decreased with increasing number of coatings, implying that the RGO was well adhered to the ball by the assembly method. Two types of vacuum pressure sensors using multiple balls and a single ball were fabricated using lift-off and air-blowing methods, respectively. At pressures <1 torr, the sensors showed an increased resistance value due to the bending of graphene sheets by the Van der Waals attractive force. Further, the pressure versus resistance values at the logarithmic scale showed a linear relation, with a pressure reading error <6%. Compared with the 2D sensor fabricated using RGO, the multiball sensor exhibited almost 4-5 times higher RRC value. The single-ball sensor showed reasonable reproducibility at various temperatures. Given the size and pressure reading range of the sensor, the sensitivity of the single-ball sensor at 100 °C was approximately 6,000 times greater than that of the sensor with the highest sensitivity reported in the literature. The increase in surface area and the geometric effect of the sensing part of the single-ball sensor appeared to be responsible for its abnormally high sensitivity. More... »

PAGES

4910

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-41413-9

DOI

http://dx.doi.org/10.1038/s41598-019-41413-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112875921

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30894646


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": "Pusan National University", 
          "id": "https://www.grid.ac/institutes/grid.262229.f", 
          "name": [
            "Department of Chemistry Education, Pusan National University, 46241, Busan, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahn", 
        "givenName": "Sung Il", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea Polytechnic University", 
          "id": "https://www.grid.ac/institutes/grid.440951.d", 
          "name": [
            "Advanced Materials Engineering, Korea Polytechnic University, Jungwang dong, 429-793, Shihung, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Yong Woo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea Polytechnic University", 
          "id": "https://www.grid.ac/institutes/grid.440951.d", 
          "name": [
            "Advanced Materials Engineering, Korea Polytechnic University, Jungwang dong, 429-793, Shihung, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Seong Eui", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Silla University", 
          "id": "https://www.grid.ac/institutes/grid.412617.7", 
          "name": [
            "Department of Engineering in Energy and Applied Chemistry Silla University, 617-736, Busan, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Minjun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pohang University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.49100.3c", 
          "name": [
            "National Institute for Nanomaterials Technology(NINT), Pohang University of Science and Technology(POSTECH), San 31, Hyoja-Dong, Nam-Gu, 790-784, Pohang, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Kyeong-Keun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Silla University", 
          "id": "https://www.grid.ac/institutes/grid.412617.7", 
          "name": [
            "Department of Engineering in Energy and Applied Chemistry Silla University, 617-736, Busan, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Jung-Chul", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1063/1.4802799", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002441895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.nanolett.5b04251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019355366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep18799", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025709718", 
          "https://doi.org/10.1038/srep18799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adfm.201403809", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025933316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.progpolymsci.2014.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031406531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat4170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032434675", 
          "https://doi.org/10.1038/nmat4170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms4002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034075775", 
          "https://doi.org/10.1038/ncomms4002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5nr09274d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034421614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsnano.6b03349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038092341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nl401352k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041911538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep38830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051660963", 
          "https://doi.org/10.1038/srep38830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/nn500283q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056225894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.39.001235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065235262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-016-0028-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079403223", 
          "https://doi.org/10.1038/s41598-016-0028-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c7ta00863e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085388474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c7ta04354f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090284484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/natrevmats.2017.46", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090936903", 
          "https://doi.org/10.1038/natrevmats.2017.46"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c8tc00452h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101059674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cplett.2018.02.058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101199994"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Reduced graphene oxide (RGO)-coated microballs of poly (methyl methacrylate) (PMMA) used for fabricating three-dimensional sensor (3D sensor), which are expected to exhibit high sensitivity compared with conventional two-dimensional (2D) sensors, were prepared using a reaction-based assembly process. The sheet resistance and transmittance of the RGO-coated balls decreased with increasing number of coatings, implying that the RGO was well adhered to the ball by the assembly method. Two types of vacuum pressure sensors using multiple balls and a single ball were fabricated using lift-off and air-blowing methods, respectively. At pressures <1 torr, the sensors showed an increased resistance value due to the bending of graphene sheets by the Van der Waals attractive force. Further, the pressure versus resistance values at the logarithmic scale showed a linear relation, with a pressure reading error <6%. Compared with the 2D sensor fabricated using RGO, the multiball sensor exhibited almost 4-5 times higher RRC value. The single-ball sensor showed reasonable reproducibility at various temperatures. Given the size and pressure reading range of the sensor, the sensitivity of the single-ball sensor at 100\u2009\u00b0C was approximately 6,000 times greater than that of the sensor with the highest sensitivity reported in the literature. The increase in surface area and the geometric effect of the sensing part of the single-ball sensor appeared to be responsible for its abnormally high sensitivity.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-41413-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Graphene-coated microballs for a hyper-sensitive vacuum sensor", 
    "pagination": "4910", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6fd24f2efbefe32ae5eb862312f88bcc7aa110117e5e830aa51b86835ae66880"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30894646"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-41413-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112875921"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-41413-9", 
      "https://app.dimensions.ai/details/publication/pub.1112875921"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:21", 
    "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/v90/0000000368_0000000368/records_78972_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-41413-9"
  }
]
 

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/s41598-019-41413-9'

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/s41598-019-41413-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-41413-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-41413-9'


 

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

169 TRIPLES      21 PREDICATES      48 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-41413-9 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N76f543eaa6134d72a3917b68a55f85c3
4 schema:citation sg:pub.10.1038/natrevmats.2017.46
5 sg:pub.10.1038/ncomms4002
6 sg:pub.10.1038/nmat4170
7 sg:pub.10.1038/s41598-016-0028-x
8 sg:pub.10.1038/srep18799
9 sg:pub.10.1038/srep38830
10 https://doi.org/10.1002/adfm.201403809
11 https://doi.org/10.1016/j.cplett.2018.02.058
12 https://doi.org/10.1016/j.progpolymsci.2014.03.001
13 https://doi.org/10.1021/acs.nanolett.5b04251
14 https://doi.org/10.1021/acsnano.6b03349
15 https://doi.org/10.1021/nl401352k
16 https://doi.org/10.1021/nn500283q
17 https://doi.org/10.1039/c5nr09274d
18 https://doi.org/10.1039/c7ta00863e
19 https://doi.org/10.1039/c7ta04354f
20 https://doi.org/10.1039/c8tc00452h
21 https://doi.org/10.1063/1.4802799
22 https://doi.org/10.1364/ol.39.001235
23 schema:datePublished 2019-12
24 schema:datePublishedReg 2019-12-01
25 schema:description Reduced graphene oxide (RGO)-coated microballs of poly (methyl methacrylate) (PMMA) used for fabricating three-dimensional sensor (3D sensor), which are expected to exhibit high sensitivity compared with conventional two-dimensional (2D) sensors, were prepared using a reaction-based assembly process. The sheet resistance and transmittance of the RGO-coated balls decreased with increasing number of coatings, implying that the RGO was well adhered to the ball by the assembly method. Two types of vacuum pressure sensors using multiple balls and a single ball were fabricated using lift-off and air-blowing methods, respectively. At pressures <1 torr, the sensors showed an increased resistance value due to the bending of graphene sheets by the Van der Waals attractive force. Further, the pressure versus resistance values at the logarithmic scale showed a linear relation, with a pressure reading error <6%. Compared with the 2D sensor fabricated using RGO, the multiball sensor exhibited almost 4-5 times higher RRC value. The single-ball sensor showed reasonable reproducibility at various temperatures. Given the size and pressure reading range of the sensor, the sensitivity of the single-ball sensor at 100 °C was approximately 6,000 times greater than that of the sensor with the highest sensitivity reported in the literature. The increase in surface area and the geometric effect of the sensing part of the single-ball sensor appeared to be responsible for its abnormally high sensitivity.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree true
29 schema:isPartOf N1562056e3b794713872b46c8521a4698
30 N5520a60cb0f84455a955aa6c73741089
31 sg:journal.1045337
32 schema:name Graphene-coated microballs for a hyper-sensitive vacuum sensor
33 schema:pagination 4910
34 schema:productId N0b939212853043168dadc20caf79b78e
35 N1210aa5f00ac4cd48b29e85f0f02f7ae
36 N187913b293ae4a4ea1c67b39b61cbc59
37 N3814848bf56e4c7a9e2e4916ff9839a5
38 N610047f0b59c4046b022b40f5d4e6b39
39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112875921
40 https://doi.org/10.1038/s41598-019-41413-9
41 schema:sdDatePublished 2019-04-11T13:21
42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
43 schema:sdPublisher N4be353048d36440f8e34edfe01a003fd
44 schema:url https://www.nature.com/articles/s41598-019-41413-9
45 sgo:license sg:explorer/license/
46 sgo:sdDataset articles
47 rdf:type schema:ScholarlyArticle
48 N0b939212853043168dadc20caf79b78e schema:name pubmed_id
49 schema:value 30894646
50 rdf:type schema:PropertyValue
51 N1053b7d224f64feaaf94290f0c4ddc83 schema:affiliation https://www.grid.ac/institutes/grid.440951.d
52 schema:familyName Lee
53 schema:givenName Seong Eui
54 rdf:type schema:Person
55 N1210aa5f00ac4cd48b29e85f0f02f7ae schema:name doi
56 schema:value 10.1038/s41598-019-41413-9
57 rdf:type schema:PropertyValue
58 N1562056e3b794713872b46c8521a4698 schema:issueNumber 1
59 rdf:type schema:PublicationIssue
60 N187913b293ae4a4ea1c67b39b61cbc59 schema:name readcube_id
61 schema:value 6fd24f2efbefe32ae5eb862312f88bcc7aa110117e5e830aa51b86835ae66880
62 rdf:type schema:PropertyValue
63 N18bc24a1d6d24ecbb6dd3bce543ff762 rdf:first Nece3f4ce2523458fa101f11e13fb1e34
64 rdf:rest Nbb1aa0e16db0492286dfb2fad3eab76b
65 N3814848bf56e4c7a9e2e4916ff9839a5 schema:name dimensions_id
66 schema:value pub.1112875921
67 rdf:type schema:PropertyValue
68 N4be353048d36440f8e34edfe01a003fd schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 N5520a60cb0f84455a955aa6c73741089 schema:volumeNumber 9
71 rdf:type schema:PublicationVolume
72 N610047f0b59c4046b022b40f5d4e6b39 schema:name nlm_unique_id
73 schema:value 101563288
74 rdf:type schema:PropertyValue
75 N76f543eaa6134d72a3917b68a55f85c3 rdf:first N7a41682fc07b4912b9d932b5a0e1206b
76 rdf:rest N18bc24a1d6d24ecbb6dd3bce543ff762
77 N7a41682fc07b4912b9d932b5a0e1206b schema:affiliation https://www.grid.ac/institutes/grid.262229.f
78 schema:familyName Ahn
79 schema:givenName Sung Il
80 rdf:type schema:Person
81 N7affcaa158eb4984be54e6467f411032 rdf:first Ndf58befee1d34ef09554158bfb683642
82 rdf:rest rdf:nil
83 N9ae13ae3eb744ea2be8a5e1b0ce9f7c9 schema:affiliation https://www.grid.ac/institutes/grid.49100.3c
84 schema:familyName Choi
85 schema:givenName Kyeong-Keun
86 rdf:type schema:Person
87 Nb4e3091116a84e57a8866cb92a196e2a rdf:first Nde62e75e451d44bf975fbe6f811ab25d
88 rdf:rest Nf4862d879b2348fcbcb0a479f2bd4573
89 Nbb1aa0e16db0492286dfb2fad3eab76b rdf:first N1053b7d224f64feaaf94290f0c4ddc83
90 rdf:rest Nb4e3091116a84e57a8866cb92a196e2a
91 Nde62e75e451d44bf975fbe6f811ab25d schema:affiliation https://www.grid.ac/institutes/grid.412617.7
92 schema:familyName Kim
93 schema:givenName Minjun
94 rdf:type schema:Person
95 Ndf58befee1d34ef09554158bfb683642 schema:affiliation https://www.grid.ac/institutes/grid.412617.7
96 schema:familyName Park
97 schema:givenName Jung-Chul
98 rdf:type schema:Person
99 Nece3f4ce2523458fa101f11e13fb1e34 schema:affiliation https://www.grid.ac/institutes/grid.440951.d
100 schema:familyName Kim
101 schema:givenName Yong Woo
102 rdf:type schema:Person
103 Nf4862d879b2348fcbcb0a479f2bd4573 rdf:first N9ae13ae3eb744ea2be8a5e1b0ce9f7c9
104 rdf:rest N7affcaa158eb4984be54e6467f411032
105 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
106 schema:name Chemical Sciences
107 rdf:type schema:DefinedTerm
108 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
109 schema:name Physical Chemistry (incl. Structural)
110 rdf:type schema:DefinedTerm
111 sg:journal.1045337 schema:issn 2045-2322
112 schema:name Scientific Reports
113 rdf:type schema:Periodical
114 sg:pub.10.1038/natrevmats.2017.46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090936903
115 https://doi.org/10.1038/natrevmats.2017.46
116 rdf:type schema:CreativeWork
117 sg:pub.10.1038/ncomms4002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034075775
118 https://doi.org/10.1038/ncomms4002
119 rdf:type schema:CreativeWork
120 sg:pub.10.1038/nmat4170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032434675
121 https://doi.org/10.1038/nmat4170
122 rdf:type schema:CreativeWork
123 sg:pub.10.1038/s41598-016-0028-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1079403223
124 https://doi.org/10.1038/s41598-016-0028-x
125 rdf:type schema:CreativeWork
126 sg:pub.10.1038/srep18799 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025709718
127 https://doi.org/10.1038/srep18799
128 rdf:type schema:CreativeWork
129 sg:pub.10.1038/srep38830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051660963
130 https://doi.org/10.1038/srep38830
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1002/adfm.201403809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025933316
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.cplett.2018.02.058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101199994
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.progpolymsci.2014.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031406531
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1021/acs.nanolett.5b04251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019355366
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1021/acsnano.6b03349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038092341
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1021/nl401352k schema:sameAs https://app.dimensions.ai/details/publication/pub.1041911538
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1021/nn500283q schema:sameAs https://app.dimensions.ai/details/publication/pub.1056225894
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1039/c5nr09274d schema:sameAs https://app.dimensions.ai/details/publication/pub.1034421614
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1039/c7ta00863e schema:sameAs https://app.dimensions.ai/details/publication/pub.1085388474
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1039/c7ta04354f schema:sameAs https://app.dimensions.ai/details/publication/pub.1090284484
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1039/c8tc00452h schema:sameAs https://app.dimensions.ai/details/publication/pub.1101059674
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1063/1.4802799 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002441895
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1364/ol.39.001235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065235262
157 rdf:type schema:CreativeWork
158 https://www.grid.ac/institutes/grid.262229.f schema:alternateName Pusan National University
159 schema:name Department of Chemistry Education, Pusan National University, 46241, Busan, Republic of Korea
160 rdf:type schema:Organization
161 https://www.grid.ac/institutes/grid.412617.7 schema:alternateName Silla University
162 schema:name Department of Engineering in Energy and Applied Chemistry Silla University, 617-736, Busan, Republic of Korea
163 rdf:type schema:Organization
164 https://www.grid.ac/institutes/grid.440951.d schema:alternateName Korea Polytechnic University
165 schema:name Advanced Materials Engineering, Korea Polytechnic University, Jungwang dong, 429-793, Shihung, Republic of Korea
166 rdf:type schema:Organization
167 https://www.grid.ac/institutes/grid.49100.3c schema:alternateName Pohang University of Science and Technology
168 schema:name National Institute for Nanomaterials Technology(NINT), Pohang University of Science and Technology(POSTECH), San 31, Hyoja-Dong, Nam-Gu, 790-784, Pohang, Republic of Korea
169 rdf:type schema:Organization
 




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


...