Methods of preparing supported catalysts from metal loaded carbon nanotubes


Ontology type: sgo:Patent     


Patent Info

DATE

N/A

AUTHORS

Jun Ma , David Moy , Asif Chishti , Jun Yang

ABSTRACT

A new method for preparing a supported catalyst is herein provided. Carbon nanotubes are functionalized by contacting them with an oxidizing agent to form functionalized carbon nanotubes. A metal catalyst is then loaded or deposited onto the functionalized carbon nanotubes. The mixture is then extruded to form the supported catalyst comprising a carbon nanotube structure containing metal catalyst more evenly dispersed within the internal structure of the carbon nanotube structure. More... »

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/2008/2471", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "Jun Ma", 
        "type": "Person"
      }, 
      {
        "name": "David Moy", 
        "type": "Person"
      }, 
      {
        "name": "Asif Chishti", 
        "type": "Person"
      }, 
      {
        "name": "Jun Yang", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/363603a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003373531", 
          "https://doi.org/10.1038/363603a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/354056a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016485857", 
          "https://doi.org/10.1038/354056a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-2614(01)00718-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016734686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja016954m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018459826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/363605a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027221895", 
          "https://doi.org/10.1038/363605a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1557/jmr.1993.3233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031568971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-2614(99)01379-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035386602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0009-2614(96)00862-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041593647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.carbon.2003.12.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041975115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-0248(76)90115-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050813985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.265.5172.611", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062548594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.273.5274.483", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062553701"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "description": "

A new method for preparing a supported catalyst is herein provided. Carbon nanotubes are functionalized by contacting them with an oxidizing agent to form functionalized carbon nanotubes. A metal catalyst is then loaded or deposited onto the functionalized carbon nanotubes. The mixture is then extruded to form the supported catalyst comprising a carbon nanotube structure containing metal catalyst more evenly dispersed within the internal structure of the carbon nanotube structure.

", "id": "sg:patent.US-7968489-B2", "keywords": [ "method", "supported catalyst", "carbon nanotube", "agent", "functionalized carbon nanotube", "metal catalyst", "mixture", "internal structure" ], "name": "Methods of preparing supported catalysts from metal loaded carbon nanotubes", "sameAs": [ "https://app.dimensions.ai/details/patent/US-7968489-B2" ], "sdDataset": "patents", "sdDatePublished": "2019-03-07T15:35", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com.uberresearch.data.dev.patents-pipeline/full_run_10/sn-export/5eb3e5a348d7f117b22cc85fb0b02730/0000100128-0000348334/json_export_b7bdf8d8.jsonl", "type": "Patent" } ]
 

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/patent.US-7968489-B2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.US-7968489-B2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-7968489-B2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-7968489-B2'


 

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

78 TRIPLES      13 PREDICATES      32 URIs      15 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-7968489-B2 schema:about anzsrc-for:2471
2 schema:author N3bc69eb9ef04416395a195959e1b9043
3 schema:citation sg:pub.10.1038/354056a0
4 sg:pub.10.1038/363603a0
5 sg:pub.10.1038/363605a0
6 https://doi.org/10.1016/0009-2614(96)00862-7
7 https://doi.org/10.1016/0022-0248(76)90115-9
8 https://doi.org/10.1016/j.carbon.2003.12.019
9 https://doi.org/10.1016/s0009-2614(01)00718-7
10 https://doi.org/10.1016/s0009-2614(99)01379-2
11 https://doi.org/10.1021/ja016954m
12 https://doi.org/10.1126/science.265.5172.611
13 https://doi.org/10.1126/science.273.5274.483
14 https://doi.org/10.1557/jmr.1993.3233
15 schema:description <p num="p-0001">A new method for preparing a supported catalyst is herein provided. Carbon nanotubes are functionalized by contacting them with an oxidizing agent to form functionalized carbon nanotubes. A metal catalyst is then loaded or deposited onto the functionalized carbon nanotubes. The mixture is then extruded to form the supported catalyst comprising a carbon nanotube structure containing metal catalyst more evenly dispersed within the internal structure of the carbon nanotube structure.</p>
16 schema:keywords agent
17 carbon nanotube
18 functionalized carbon nanotube
19 internal structure
20 metal catalyst
21 method
22 mixture
23 supported catalyst
24 schema:name Methods of preparing supported catalysts from metal loaded carbon nanotubes
25 schema:sameAs https://app.dimensions.ai/details/patent/US-7968489-B2
26 schema:sdDatePublished 2019-03-07T15:35
27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
28 schema:sdPublisher N27849fa1a74f4ec5a0d29a92fc7d5590
29 sgo:license sg:explorer/license/
30 sgo:sdDataset patents
31 rdf:type sgo:Patent
32 N27849fa1a74f4ec5a0d29a92fc7d5590 schema:name Springer Nature - SN SciGraph project
33 rdf:type schema:Organization
34 N3bc69eb9ef04416395a195959e1b9043 rdf:first N619a59adab1d42ceaeeee102c91d8d0d
35 rdf:rest Nf758a98f05a74f9584b83f207bedb057
36 N41dcfd621fa84cbdabb1e4ac881cdc66 schema:name David Moy
37 rdf:type schema:Person
38 N619a59adab1d42ceaeeee102c91d8d0d schema:name Jun Ma
39 rdf:type schema:Person
40 N630b6b125e344f8c93c82441bdbc9690 rdf:first N84e58d54e4ba476a9cc04a92a40cffae
41 rdf:rest Nf21441ecf39543ac8fbda69cfee2b7a7
42 N84e58d54e4ba476a9cc04a92a40cffae schema:name Asif Chishti
43 rdf:type schema:Person
44 Nc0da48b5ea834373864b7e2e661d7ef0 schema:name Jun Yang
45 rdf:type schema:Person
46 Nf21441ecf39543ac8fbda69cfee2b7a7 rdf:first Nc0da48b5ea834373864b7e2e661d7ef0
47 rdf:rest rdf:nil
48 Nf758a98f05a74f9584b83f207bedb057 rdf:first N41dcfd621fa84cbdabb1e4ac881cdc66
49 rdf:rest N630b6b125e344f8c93c82441bdbc9690
50 anzsrc-for:2471 schema:inDefinedTermSet anzsrc-for:
51 rdf:type schema:DefinedTerm
52 sg:pub.10.1038/354056a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016485857
53 https://doi.org/10.1038/354056a0
54 rdf:type schema:CreativeWork
55 sg:pub.10.1038/363603a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003373531
56 https://doi.org/10.1038/363603a0
57 rdf:type schema:CreativeWork
58 sg:pub.10.1038/363605a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027221895
59 https://doi.org/10.1038/363605a0
60 rdf:type schema:CreativeWork
61 https://doi.org/10.1016/0009-2614(96)00862-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041593647
62 rdf:type schema:CreativeWork
63 https://doi.org/10.1016/0022-0248(76)90115-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050813985
64 rdf:type schema:CreativeWork
65 https://doi.org/10.1016/j.carbon.2003.12.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041975115
66 rdf:type schema:CreativeWork
67 https://doi.org/10.1016/s0009-2614(01)00718-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016734686
68 rdf:type schema:CreativeWork
69 https://doi.org/10.1016/s0009-2614(99)01379-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035386602
70 rdf:type schema:CreativeWork
71 https://doi.org/10.1021/ja016954m schema:sameAs https://app.dimensions.ai/details/publication/pub.1018459826
72 rdf:type schema:CreativeWork
73 https://doi.org/10.1126/science.265.5172.611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062548594
74 rdf:type schema:CreativeWork
75 https://doi.org/10.1126/science.273.5274.483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062553701
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1557/jmr.1993.3233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031568971
78 rdf:type schema:CreativeWork
 




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


...