Construction of solvable non-central potential using vector superpotential: a new approach View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-11

AUTHORS

Rajendrasinh H. Parmar

ABSTRACT

We introduce here vector superpotential which is useful to find general potential form using supersymmetric quantum mechanics (SUSY QM) approach. Using the vector superpotential, we reconstruct different solved central potentials and non-central shape variant or shape invariant potentials. To construct and reconstruct the central potentials and non-central potentials, appropriate choice of radial part of the superpotential as well as angular and azimuthal parts of the superpotential is required. Our main aim is to construct angular and azimuthal parts of potential directly from the appropriate choice of vector superpotential. We have reconstructed few potentials which are solved by different researchers using different methods of solution and also constructed new non-central potentials. More... »

PAGES

1-8

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12648-019-01401-1

DOI

http://dx.doi.org/10.1007/s12648-019-01401-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112075042


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/2008/0105", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Physics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Physics, Sir P T Science College, 383315, Modasa, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parmar", 
        "givenName": "Rajendrasinh H.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/(sici)1097-461x(1996)58:5<431::aid-qua1>3.0.co;2-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002748651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00641399", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011152616", 
          "https://doi.org/10.1007/bf00641399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00641399", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011152616", 
          "https://doi.org/10.1007/bf00641399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02755212", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011863690", 
          "https://doi.org/10.1007/bf02755212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physleta.2004.06.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016640767"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physleta.2013.04.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029465013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1742-6596/423/1/012039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035214879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0370-1573(94)00080-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038606052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2251-7235-7-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040073714", 
          "https://doi.org/10.1186/2251-7235-7-17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10910-012-9984-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041778074", 
          "https://doi.org/10.1007/s10910-012-9984-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/andp.19263851204", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041978526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10910-008-9447-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043792645", 
          "https://doi.org/10.1007/s10910-008-9447-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/qua.21141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045083343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-1595-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045528374", 
          "https://doi.org/10.1007/978-1-4757-1595-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-1595-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045528374", 
          "https://doi.org/10.1007/978-1-4757-1595-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/epl/i2004-10418-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050501587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physleta.2005.04.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051570563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-2789(85)90145-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053502759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-2789(85)90145-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053502759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1673585", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057750045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.2566432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057857969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3592151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057980820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-8949/75/1/015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059001872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-8949/79/03/035003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059002412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-8949/80/06/065018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059002681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-8949/80/06/065018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059002681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0253-6102/53/2/07", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059045594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0253-6102/53/2/07", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059045594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0253-6102/65/5/569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059047300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1742-6596/776/1/012092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059170203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/cjp-2016-0066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062889851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0217751x1450002x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062927421"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0217751x15501936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062927940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0218301313500729", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062972966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0218301317500288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085303859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.24218/jatpr.2017.08", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093150540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s0217751x18500215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100781571"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02-11", 
    "datePublishedReg": "2019-02-11", 
    "description": "We introduce here vector superpotential which is useful to find general potential form using supersymmetric quantum mechanics (SUSY QM) approach. Using the vector superpotential, we reconstruct different solved central potentials and non-central shape variant or shape invariant potentials. To construct and reconstruct the central potentials and non-central potentials, appropriate choice of radial part of the superpotential as well as angular and azimuthal parts of the superpotential is required. Our main aim is to construct angular and azimuthal parts of potential directly from the appropriate choice of vector superpotential. We have reconstructed few potentials which are solved by different researchers using different methods of solution and also constructed new non-central potentials.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12648-019-01401-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1048519", 
        "issn": [
          "0973-1458", 
          "0974-9845"
        ], 
        "name": "Indian Journal of Physics", 
        "type": "Periodical"
      }
    ], 
    "name": "Construction of solvable non-central potential using vector superpotential: a new approach", 
    "pagination": "1-8", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "14854924cad77fb9b922c4cc2ee70f530b5b659851eff324ba464ed330cc1632"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12648-019-01401-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112075042"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12648-019-01401-1", 
      "https://app.dimensions.ai/details/publication/pub.1112075042"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:05", 
    "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/v90/0000000335_0000000335/records_125280_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12648-019-01401-1"
  }
]
 

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/s12648-019-01401-1'

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/s12648-019-01401-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12648-019-01401-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12648-019-01401-1'


 

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

155 TRIPLES      21 PREDICATES      56 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12648-019-01401-1 schema:about anzsrc-for:01
2 anzsrc-for:0105
3 schema:author N12051ccc42ca4c4cbd38ac684edcfdaa
4 schema:citation sg:pub.10.1007/978-1-4757-1595-8
5 sg:pub.10.1007/bf00641399
6 sg:pub.10.1007/bf02755212
7 sg:pub.10.1007/s10910-008-9447-7
8 sg:pub.10.1007/s10910-012-9984-y
9 sg:pub.10.1186/2251-7235-7-17
10 https://doi.org/10.1002/(sici)1097-461x(1996)58:5<431::aid-qua1>3.0.co;2-z
11 https://doi.org/10.1002/andp.19263851204
12 https://doi.org/10.1002/qua.21141
13 https://doi.org/10.1016/0167-2789(85)90145-9
14 https://doi.org/10.1016/0370-1573(94)00080-m
15 https://doi.org/10.1016/j.physleta.2004.06.037
16 https://doi.org/10.1016/j.physleta.2005.04.024
17 https://doi.org/10.1016/j.physleta.2013.04.026
18 https://doi.org/10.1063/1.1673585
19 https://doi.org/10.1063/1.2566432
20 https://doi.org/10.1063/1.3592151
21 https://doi.org/10.1088/0031-8949/75/1/015
22 https://doi.org/10.1088/0031-8949/79/03/035003
23 https://doi.org/10.1088/0031-8949/80/06/065018
24 https://doi.org/10.1088/0253-6102/53/2/07
25 https://doi.org/10.1088/0253-6102/65/5/569
26 https://doi.org/10.1088/1742-6596/423/1/012039
27 https://doi.org/10.1088/1742-6596/776/1/012092
28 https://doi.org/10.1139/cjp-2016-0066
29 https://doi.org/10.1142/s0217751x1450002x
30 https://doi.org/10.1142/s0217751x15501936
31 https://doi.org/10.1142/s0217751x18500215
32 https://doi.org/10.1142/s0218301313500729
33 https://doi.org/10.1142/s0218301317500288
34 https://doi.org/10.1209/epl/i2004-10418-8
35 https://doi.org/10.24218/jatpr.2017.08
36 schema:datePublished 2019-02-11
37 schema:datePublishedReg 2019-02-11
38 schema:description We introduce here vector superpotential which is useful to find general potential form using supersymmetric quantum mechanics (SUSY QM) approach. Using the vector superpotential, we reconstruct different solved central potentials and non-central shape variant or shape invariant potentials. To construct and reconstruct the central potentials and non-central potentials, appropriate choice of radial part of the superpotential as well as angular and azimuthal parts of the superpotential is required. Our main aim is to construct angular and azimuthal parts of potential directly from the appropriate choice of vector superpotential. We have reconstructed few potentials which are solved by different researchers using different methods of solution and also constructed new non-central potentials.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf sg:journal.1048519
43 schema:name Construction of solvable non-central potential using vector superpotential: a new approach
44 schema:pagination 1-8
45 schema:productId N0f7a532ebb8b46d0885cf9b6b6f7ac17
46 N40cc83cd6de14b8db3fe7d84c97ab955
47 Ne79e91a8ade143369143021093f9f4a3
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112075042
49 https://doi.org/10.1007/s12648-019-01401-1
50 schema:sdDatePublished 2019-04-11T09:05
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N423511995f0343e0921e4eaea0b89b4c
53 schema:url https://link.springer.com/10.1007%2Fs12648-019-01401-1
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N0f7a532ebb8b46d0885cf9b6b6f7ac17 schema:name doi
58 schema:value 10.1007/s12648-019-01401-1
59 rdf:type schema:PropertyValue
60 N12051ccc42ca4c4cbd38ac684edcfdaa rdf:first Nbe921aea12ba47359c049d01608ec3d9
61 rdf:rest rdf:nil
62 N40cc83cd6de14b8db3fe7d84c97ab955 schema:name readcube_id
63 schema:value 14854924cad77fb9b922c4cc2ee70f530b5b659851eff324ba464ed330cc1632
64 rdf:type schema:PropertyValue
65 N423511995f0343e0921e4eaea0b89b4c schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 N559a7446438348c9b37aed2bf62c779c schema:name Department of Physics, Sir P T Science College, 383315, Modasa, India
68 rdf:type schema:Organization
69 Nbe921aea12ba47359c049d01608ec3d9 schema:affiliation N559a7446438348c9b37aed2bf62c779c
70 schema:familyName Parmar
71 schema:givenName Rajendrasinh H.
72 rdf:type schema:Person
73 Ne79e91a8ade143369143021093f9f4a3 schema:name dimensions_id
74 schema:value pub.1112075042
75 rdf:type schema:PropertyValue
76 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
77 schema:name Mathematical Sciences
78 rdf:type schema:DefinedTerm
79 anzsrc-for:0105 schema:inDefinedTermSet anzsrc-for:
80 schema:name Mathematical Physics
81 rdf:type schema:DefinedTerm
82 sg:journal.1048519 schema:issn 0973-1458
83 0974-9845
84 schema:name Indian Journal of Physics
85 rdf:type schema:Periodical
86 sg:pub.10.1007/978-1-4757-1595-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045528374
87 https://doi.org/10.1007/978-1-4757-1595-8
88 rdf:type schema:CreativeWork
89 sg:pub.10.1007/bf00641399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011152616
90 https://doi.org/10.1007/bf00641399
91 rdf:type schema:CreativeWork
92 sg:pub.10.1007/bf02755212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011863690
93 https://doi.org/10.1007/bf02755212
94 rdf:type schema:CreativeWork
95 sg:pub.10.1007/s10910-008-9447-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043792645
96 https://doi.org/10.1007/s10910-008-9447-7
97 rdf:type schema:CreativeWork
98 sg:pub.10.1007/s10910-012-9984-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1041778074
99 https://doi.org/10.1007/s10910-012-9984-y
100 rdf:type schema:CreativeWork
101 sg:pub.10.1186/2251-7235-7-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040073714
102 https://doi.org/10.1186/2251-7235-7-17
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1002/(sici)1097-461x(1996)58:5<431::aid-qua1>3.0.co;2-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1002748651
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1002/andp.19263851204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041978526
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1002/qua.21141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045083343
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/0167-2789(85)90145-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053502759
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/0370-1573(94)00080-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1038606052
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.physleta.2004.06.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016640767
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.physleta.2005.04.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051570563
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.physleta.2013.04.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029465013
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1063/1.1673585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057750045
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1063/1.2566432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057857969
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1063/1.3592151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057980820
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1088/0031-8949/75/1/015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059001872
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1088/0031-8949/79/03/035003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059002412
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1088/0031-8949/80/06/065018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059002681
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1088/0253-6102/53/2/07 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059045594
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1088/0253-6102/65/5/569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059047300
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1088/1742-6596/423/1/012039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035214879
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1088/1742-6596/776/1/012092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059170203
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1139/cjp-2016-0066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062889851
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1142/s0217751x1450002x schema:sameAs https://app.dimensions.ai/details/publication/pub.1062927421
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1142/s0217751x15501936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062927940
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1142/s0217751x18500215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100781571
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1142/s0218301313500729 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062972966
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1142/s0218301317500288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085303859
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1209/epl/i2004-10418-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050501587
153 rdf:type schema:CreativeWork
154 https://doi.org/10.24218/jatpr.2017.08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093150540
155 rdf:type schema:CreativeWork
 




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


...