Synthesis of porous polymer-based metal–organic frameworks monolithic hybrid composite for hydrogen storage application View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-05

AUTHORS

Lerato Y. Molefe, Nicholas M. Musyoka, Jianwei Ren, Henrietta W. Langmi, Patrick G. Ndungu, Robert Dawson, Mkhulu Mathe

ABSTRACT

Herein, we report a simple method for the preparation of cross-linked polymer of intrinsic microporosity (PIM-1)/Materials Institute Lavoisier chromium (III) terephthalate [MIL-101(Cr)] monoliths which involves direct impregnation of PIM-1 with MIL-101(Cr) powder by physical mixing in tetrachloroethane solvent. This procedure yields monoliths with high metal–organic framework (MOF) loading weight percentages of up to 80 wt% of MIL-101 powder with little loss of composite mechanical strength. From the nitrogen adsorption isotherms, it was observed that the PIM-1/80 wt% MIL-101(Cr) had good retention of MOF filler surface area and accessibility of its micropores with nearly no pore blocking effects. The hydrogen adsorption was also not far from the estimated hydrogen uptake capacity based on the MIL-101 weight percentage estimation. As a consequence of the highly porous nature of the hybrid material, PIM-1/MIL-101(Cr) composite has been considered as a promising material for inclusion in hybrid hydrogen storage cylinders. Moreover, these composites provided better handling compared to the crystalline powder MOFs without compromising the properties of MOF. More... »

PAGES

1-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10853-019-03367-1

DOI

http://dx.doi.org/10.1007/s10853-019-03367-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111602730


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": "University of Johannesburg", 
          "id": "https://www.grid.ac/institutes/grid.412988.e", 
          "name": [
            "HySA Infrastructure Centre of Competence, Energy Centre, Council for Scientific and Industrial Research (CSIR), 627, Meiring Naude Road, 0001, Brummeria, Pretoria, South Africa", 
            "Energy Sensors and Multifunctional Nanomaterials Research Group, Department of Applied Chemistry, University of Johannesburg, Doornfontein Campus, Johannesburg, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Molefe", 
        "givenName": "Lerato Y.", 
        "id": "sg:person.07657146522.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07657146522.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Johannesburg", 
          "id": "https://www.grid.ac/institutes/grid.412988.e", 
          "name": [
            "HySA Infrastructure Centre of Competence, Energy Centre, Council for Scientific and Industrial Research (CSIR), 627, Meiring Naude Road, 0001, Brummeria, Pretoria, South Africa", 
            "Energy Sensors and Multifunctional Nanomaterials Research Group, Department of Applied Chemistry, University of Johannesburg, Doornfontein Campus, Johannesburg, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Musyoka", 
        "givenName": "Nicholas M.", 
        "id": "sg:person.07573444137.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07573444137.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Council for Scientific and Industrial Research", 
          "id": "https://www.grid.ac/institutes/grid.7327.1", 
          "name": [
            "HySA Infrastructure Centre of Competence, Energy Centre, Council for Scientific and Industrial Research (CSIR), 627, Meiring Naude Road, 0001, Brummeria, Pretoria, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ren", 
        "givenName": "Jianwei", 
        "id": "sg:person.014011127233.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014011127233.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Council for Scientific and Industrial Research", 
          "id": "https://www.grid.ac/institutes/grid.7327.1", 
          "name": [
            "HySA Infrastructure Centre of Competence, Energy Centre, Council for Scientific and Industrial Research (CSIR), 627, Meiring Naude Road, 0001, Brummeria, Pretoria, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Langmi", 
        "givenName": "Henrietta W.", 
        "id": "sg:person.011650346542.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011650346542.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Johannesburg", 
          "id": "https://www.grid.ac/institutes/grid.412988.e", 
          "name": [
            "Energy Sensors and Multifunctional Nanomaterials Research Group, Department of Applied Chemistry, University of Johannesburg, Doornfontein Campus, Johannesburg, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ndungu", 
        "givenName": "Patrick G.", 
        "id": "sg:person.014524161117.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014524161117.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sheffield", 
          "id": "https://www.grid.ac/institutes/grid.11835.3e", 
          "name": [
            "Department of Chemistry, University of Sheffield, Brook Hill, Sheffield, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dawson", 
        "givenName": "Robert", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Council for Scientific and Industrial Research", 
          "id": "https://www.grid.ac/institutes/grid.7327.1", 
          "name": [
            "HySA Infrastructure Centre of Competence, Energy Centre, Council for Scientific and Industrial Research (CSIR), 627, Meiring Naude Road, 0001, Brummeria, Pretoria, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mathe", 
        "givenName": "Mkhulu", 
        "id": "sg:person.01264617251.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264617251.52"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/adma.200306053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000852444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00339-016-9651-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001564215", 
          "https://doi.org/10.1007/s00339-016-9651-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00339-016-9651-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001564215", 
          "https://doi.org/10.1007/s00339-016-9651-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00339-016-9651-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001564215", 
          "https://doi.org/10.1007/s00339-016-9651-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.micromeso.2015.05.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003888099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.micromeso.2009.11.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004142256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.201502733", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004459135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.micromeso.2016.07.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008812758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.micromeso.2014.11.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008932402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4cs00437j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014825062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijhydene.2014.07.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017857367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jacs.5b11034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021970846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.micromeso.2012.03.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025964873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201204913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028955825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.201504077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030009914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/er.3255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036497994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c3cs60472a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040133598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5sc04368a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041334560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ceat.200900376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046097528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ceat.200900376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046097528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijhydene.2014.06.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046926827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10853-016-0647-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048135820", 
          "https://doi.org/10.1007/s10853-016-0647-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10853-016-0647-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048135820", 
          "https://doi.org/10.1007/s10853-016-0647-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma801858d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050651588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma801858d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050651588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijhydene.2015.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052466530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsami.6b11074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055132123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/9789814317665_0038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1088780350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c7ta05232d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091307395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccr.2017.09.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091898004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2017.11.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092869059"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-05", 
    "datePublishedReg": "2019-05-01", 
    "description": "Herein, we report a simple method for the preparation of cross-linked polymer of intrinsic microporosity (PIM-1)/Materials Institute Lavoisier chromium (III) terephthalate [MIL-101(Cr)] monoliths which involves direct impregnation of PIM-1 with MIL-101(Cr) powder by physical mixing in tetrachloroethane solvent. This procedure yields monoliths with high metal\u2013organic framework (MOF) loading weight percentages of up to 80 wt% of MIL-101 powder with little loss of composite mechanical strength. From the nitrogen adsorption isotherms, it was observed that the PIM-1/80 wt% MIL-101(Cr) had good retention of MOF filler surface area and accessibility of its micropores with nearly no pore blocking effects. The hydrogen adsorption was also not far from the estimated hydrogen uptake capacity based on the MIL-101 weight percentage estimation. As a consequence of the highly porous nature of the hybrid material, PIM-1/MIL-101(Cr) composite has been considered as a promising material for inclusion in hybrid hydrogen storage cylinders. Moreover, these composites provided better handling compared to the crystalline powder MOFs without compromising the properties of MOF.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10853-019-03367-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1312116", 
        "issn": [
          "0022-2461", 
          "1573-4811"
        ], 
        "name": "Journal of Materials Science", 
        "type": "Periodical"
      }
    ], 
    "name": "Synthesis of porous polymer-based metal\u2013organic frameworks monolithic hybrid composite for hydrogen storage application", 
    "pagination": "1-9", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "469a4b4d9f274d506a754764c63730ab118c3eba88c1d96604ec5137a86c68ac"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10853-019-03367-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111602730"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10853-019-03367-1", 
      "https://app.dimensions.ai/details/publication/pub.1111602730"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:57", 
    "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/v90/0000000325_0000000325/records_100815_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10853-019-03367-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10853-019-03367-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10853-019-03367-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10853-019-03367-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10853-019-03367-1'


 

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

183 TRIPLES      21 PREDICATES      51 URIs      17 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10853-019-03367-1 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N384e710ffa51442d8a2c42bc7bb63335
4 schema:citation sg:pub.10.1007/s00339-016-9651-4
5 sg:pub.10.1007/s10853-016-0647-4
6 https://doi.org/10.1002/adma.200306053
7 https://doi.org/10.1002/adma.201204913
8 https://doi.org/10.1002/anie.201502733
9 https://doi.org/10.1002/anie.201504077
10 https://doi.org/10.1002/ceat.200900376
11 https://doi.org/10.1002/er.3255
12 https://doi.org/10.1016/j.ccr.2017.09.005
13 https://doi.org/10.1016/j.ijhydene.2014.06.019
14 https://doi.org/10.1016/j.ijhydene.2014.07.056
15 https://doi.org/10.1016/j.ijhydene.2015.02.011
16 https://doi.org/10.1016/j.memsci.2017.11.038
17 https://doi.org/10.1016/j.micromeso.2009.11.001
18 https://doi.org/10.1016/j.micromeso.2012.03.012
19 https://doi.org/10.1016/j.micromeso.2014.11.025
20 https://doi.org/10.1016/j.micromeso.2015.05.017
21 https://doi.org/10.1016/j.micromeso.2016.07.037
22 https://doi.org/10.1021/acsami.6b11074
23 https://doi.org/10.1021/jacs.5b11034
24 https://doi.org/10.1021/ma801858d
25 https://doi.org/10.1039/c3cs60472a
26 https://doi.org/10.1039/c4cs00437j
27 https://doi.org/10.1039/c5sc04368a
28 https://doi.org/10.1039/c7ta05232d
29 https://doi.org/10.1142/9789814317665_0038
30 schema:datePublished 2019-05
31 schema:datePublishedReg 2019-05-01
32 schema:description Herein, we report a simple method for the preparation of cross-linked polymer of intrinsic microporosity (PIM-1)/Materials Institute Lavoisier chromium (III) terephthalate [MIL-101(Cr)] monoliths which involves direct impregnation of PIM-1 with MIL-101(Cr) powder by physical mixing in tetrachloroethane solvent. This procedure yields monoliths with high metal–organic framework (MOF) loading weight percentages of up to 80 wt% of MIL-101 powder with little loss of composite mechanical strength. From the nitrogen adsorption isotherms, it was observed that the PIM-1/80 wt% MIL-101(Cr) had good retention of MOF filler surface area and accessibility of its micropores with nearly no pore blocking effects. The hydrogen adsorption was also not far from the estimated hydrogen uptake capacity based on the MIL-101 weight percentage estimation. As a consequence of the highly porous nature of the hybrid material, PIM-1/MIL-101(Cr) composite has been considered as a promising material for inclusion in hybrid hydrogen storage cylinders. Moreover, these composites provided better handling compared to the crystalline powder MOFs without compromising the properties of MOF.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf sg:journal.1312116
37 schema:name Synthesis of porous polymer-based metal–organic frameworks monolithic hybrid composite for hydrogen storage application
38 schema:pagination 1-9
39 schema:productId N6af6087ffe9147c991cbc75f91de0aef
40 N998adc59276741c38a22d25eae1f4ded
41 Nf79df32f476a445e8cb0189bde22ec45
42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111602730
43 https://doi.org/10.1007/s10853-019-03367-1
44 schema:sdDatePublished 2019-04-11T08:57
45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
46 schema:sdPublisher N234bb77517834e2ebaf2f3439e53fa8a
47 schema:url https://link.springer.com/10.1007%2Fs10853-019-03367-1
48 sgo:license sg:explorer/license/
49 sgo:sdDataset articles
50 rdf:type schema:ScholarlyArticle
51 N05ee82da8d15472a97a99a27061f3747 rdf:first sg:person.011650346542.02
52 rdf:rest N1cbd8a67213c4130b3d9a589c8725896
53 N1828b7a22fc84da6b560af310295ad7f rdf:first sg:person.014011127233.79
54 rdf:rest N05ee82da8d15472a97a99a27061f3747
55 N1cbd8a67213c4130b3d9a589c8725896 rdf:first sg:person.014524161117.04
56 rdf:rest N2d9a383c8e2a458e91b5b2f2f4c3550f
57 N234bb77517834e2ebaf2f3439e53fa8a schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 N2d9a383c8e2a458e91b5b2f2f4c3550f rdf:first Nb8aa4b41138b44be872db0129d5478ea
60 rdf:rest N7a6a6f38c6184b1caeb1ef5d794e7497
61 N384e710ffa51442d8a2c42bc7bb63335 rdf:first sg:person.07657146522.42
62 rdf:rest N47c293671c0f473dab632d3a5dcb0b2a
63 N47c293671c0f473dab632d3a5dcb0b2a rdf:first sg:person.07573444137.64
64 rdf:rest N1828b7a22fc84da6b560af310295ad7f
65 N6af6087ffe9147c991cbc75f91de0aef schema:name dimensions_id
66 schema:value pub.1111602730
67 rdf:type schema:PropertyValue
68 N7a6a6f38c6184b1caeb1ef5d794e7497 rdf:first sg:person.01264617251.52
69 rdf:rest rdf:nil
70 N998adc59276741c38a22d25eae1f4ded schema:name doi
71 schema:value 10.1007/s10853-019-03367-1
72 rdf:type schema:PropertyValue
73 Nb8aa4b41138b44be872db0129d5478ea schema:affiliation https://www.grid.ac/institutes/grid.11835.3e
74 schema:familyName Dawson
75 schema:givenName Robert
76 rdf:type schema:Person
77 Nf79df32f476a445e8cb0189bde22ec45 schema:name readcube_id
78 schema:value 469a4b4d9f274d506a754764c63730ab118c3eba88c1d96604ec5137a86c68ac
79 rdf:type schema:PropertyValue
80 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
81 schema:name Engineering
82 rdf:type schema:DefinedTerm
83 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
84 schema:name Materials Engineering
85 rdf:type schema:DefinedTerm
86 sg:journal.1312116 schema:issn 0022-2461
87 1573-4811
88 schema:name Journal of Materials Science
89 rdf:type schema:Periodical
90 sg:person.011650346542.02 schema:affiliation https://www.grid.ac/institutes/grid.7327.1
91 schema:familyName Langmi
92 schema:givenName Henrietta W.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011650346542.02
94 rdf:type schema:Person
95 sg:person.01264617251.52 schema:affiliation https://www.grid.ac/institutes/grid.7327.1
96 schema:familyName Mathe
97 schema:givenName Mkhulu
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264617251.52
99 rdf:type schema:Person
100 sg:person.014011127233.79 schema:affiliation https://www.grid.ac/institutes/grid.7327.1
101 schema:familyName Ren
102 schema:givenName Jianwei
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014011127233.79
104 rdf:type schema:Person
105 sg:person.014524161117.04 schema:affiliation https://www.grid.ac/institutes/grid.412988.e
106 schema:familyName Ndungu
107 schema:givenName Patrick G.
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014524161117.04
109 rdf:type schema:Person
110 sg:person.07573444137.64 schema:affiliation https://www.grid.ac/institutes/grid.412988.e
111 schema:familyName Musyoka
112 schema:givenName Nicholas M.
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07573444137.64
114 rdf:type schema:Person
115 sg:person.07657146522.42 schema:affiliation https://www.grid.ac/institutes/grid.412988.e
116 schema:familyName Molefe
117 schema:givenName Lerato Y.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07657146522.42
119 rdf:type schema:Person
120 sg:pub.10.1007/s00339-016-9651-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001564215
121 https://doi.org/10.1007/s00339-016-9651-4
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/s10853-016-0647-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048135820
124 https://doi.org/10.1007/s10853-016-0647-4
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1002/adma.200306053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000852444
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1002/adma.201204913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028955825
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1002/anie.201502733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004459135
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1002/anie.201504077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030009914
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1002/ceat.200900376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046097528
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1002/er.3255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036497994
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.ccr.2017.09.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091898004
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.ijhydene.2014.06.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046926827
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.ijhydene.2014.07.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017857367
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.ijhydene.2015.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052466530
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.memsci.2017.11.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092869059
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.micromeso.2009.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004142256
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.micromeso.2012.03.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025964873
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.micromeso.2014.11.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008932402
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.micromeso.2015.05.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003888099
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.micromeso.2016.07.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008812758
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1021/acsami.6b11074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055132123
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1021/jacs.5b11034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021970846
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1021/ma801858d schema:sameAs https://app.dimensions.ai/details/publication/pub.1050651588
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1039/c3cs60472a schema:sameAs https://app.dimensions.ai/details/publication/pub.1040133598
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1039/c4cs00437j schema:sameAs https://app.dimensions.ai/details/publication/pub.1014825062
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1039/c5sc04368a schema:sameAs https://app.dimensions.ai/details/publication/pub.1041334560
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1039/c7ta05232d schema:sameAs https://app.dimensions.ai/details/publication/pub.1091307395
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1142/9789814317665_0038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1088780350
173 rdf:type schema:CreativeWork
174 https://www.grid.ac/institutes/grid.11835.3e schema:alternateName University of Sheffield
175 schema:name Department of Chemistry, University of Sheffield, Brook Hill, Sheffield, UK
176 rdf:type schema:Organization
177 https://www.grid.ac/institutes/grid.412988.e schema:alternateName University of Johannesburg
178 schema:name Energy Sensors and Multifunctional Nanomaterials Research Group, Department of Applied Chemistry, University of Johannesburg, Doornfontein Campus, Johannesburg, South Africa
179 HySA Infrastructure Centre of Competence, Energy Centre, Council for Scientific and Industrial Research (CSIR), 627, Meiring Naude Road, 0001, Brummeria, Pretoria, South Africa
180 rdf:type schema:Organization
181 https://www.grid.ac/institutes/grid.7327.1 schema:alternateName Council for Scientific and Industrial Research
182 schema:name HySA Infrastructure Centre of Competence, Energy Centre, Council for Scientific and Industrial Research (CSIR), 627, Meiring Naude Road, 0001, Brummeria, Pretoria, South Africa
183 rdf:type schema:Organization
 




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


...