Molecular nanomagnets with switchable coupling for quantum simulation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12-11

AUTHORS

Alessandro Chiesa, George F. S. Whitehead, Stefano Carretta, Laura Carthy, Grigore A. Timco, Simon J. Teat, Giuseppe Amoretti, Eva Pavarini, Richard E. P. Winpenny, Paolo Santini

ABSTRACT

Molecular nanomagnets are attractive candidate qubits because of their wide inter- and intra-molecular tunability. Uniform magnetic pulses could be exploited to implement one- and two-qubit gates in presence of a properly engineered pattern of interactions, but the synthesis of suitable and potentially scalable supramolecular complexes has proven a very hard task. Indeed, no quantum algorithms have ever been implemented, not even a proof-of-principle two-qubit gate. Here we show that the magnetic couplings in two supramolecular {Cr7Ni}-Ni-{Cr7Ni} assemblies can be chemically engineered to fit the above requisites for conditional gates with no need of local control. Microscopic parameters are determined by a recently developed many-body ab-initio approach and used to simulate quantum gates. We find that these systems are optimal for proof-of-principle two-qubit experiments and can be exploited as building blocks of scalable architectures for quantum simulation. More... »

PAGES

7423

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep07423

DOI

http://dx.doi.org/10.1038/srep07423

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024685857

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25502419


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/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0303", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Macromolecular and Materials Chemistry", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute for Advanced Simulation, Forschungszentrum J\u00fclich, 52425, J\u00fclich, Germany", 
          "id": "http://www.grid.ac/institutes/grid.8385.6", 
          "name": [
            "Dipartimento di Fisica e Scienze della Terra, Universit\u00e0 di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy", 
            "Institute for Advanced Simulation, Forschungszentrum J\u00fclich, 52425, J\u00fclich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chiesa", 
        "givenName": "Alessandro", 
        "id": "sg:person.01033420117.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033420117.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom", 
          "id": "http://www.grid.ac/institutes/grid.5379.8", 
          "name": [
            "School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Whitehead", 
        "givenName": "George F. S.", 
        "id": "sg:person.015221457347.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015221457347.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dipartimento di Fisica e Scienze della Terra, Universit\u00e0 di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Dipartimento di Fisica e Scienze della Terra, Universit\u00e0 di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carretta", 
        "givenName": "Stefano", 
        "id": "sg:person.0651066246.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651066246.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom", 
          "id": "http://www.grid.ac/institutes/grid.5379.8", 
          "name": [
            "School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carthy", 
        "givenName": "Laura", 
        "id": "sg:person.0731674672.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731674672.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom", 
          "id": "http://www.grid.ac/institutes/grid.5379.8", 
          "name": [
            "School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Timco", 
        "givenName": "Grigore A.", 
        "id": "sg:person.0735535772.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735535772.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Advanced Light Source, Lawrence Berkeley Laboratory, MS2-400, 94720, Berkeley, California, USA", 
          "id": "http://www.grid.ac/institutes/grid.184769.5", 
          "name": [
            "Advanced Light Source, Lawrence Berkeley Laboratory, MS2-400, 94720, Berkeley, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Teat", 
        "givenName": "Simon J.", 
        "id": "sg:person.0745203337.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745203337.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dipartimento di Fisica e Scienze della Terra, Universit\u00e0 di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Dipartimento di Fisica e Scienze della Terra, Universit\u00e0 di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Amoretti", 
        "givenName": "Giuseppe", 
        "id": "sg:person.01336061346.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336061346.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "JARA High-Performance Computing", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Institute for Advanced Simulation, Forschungszentrum J\u00fclich, 52425, J\u00fclich, Germany", 
            "JARA High-Performance Computing"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pavarini", 
        "givenName": "Eva", 
        "id": "sg:person.07355377711.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07355377711.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom", 
          "id": "http://www.grid.ac/institutes/grid.5379.8", 
          "name": [
            "School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Winpenny", 
        "givenName": "Richard E. P.", 
        "id": "sg:person.016552617421.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016552617421.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Dipartimento di Fisica e Scienze della Terra, Universit\u00e0 di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy", 
          "id": "http://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Dipartimento di Fisica e Scienze della Terra, Universit\u00e0 di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Santini", 
        "givenName": "Paolo", 
        "id": "sg:person.01221632746.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221632746.28"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nature06962", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030932016", 
          "https://doi.org/10.1038/nature06962"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02650179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038336282", 
          "https://doi.org/10.1007/bf02650179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026793563", 
          "https://doi.org/10.1038/nature08812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11341", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015361904", 
          "https://doi.org/10.1038/nature11341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2008.404", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031283245", 
          "https://doi.org/10.1038/nnano.2008.404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nnano.2007.110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008460050", 
          "https://doi.org/10.1038/nnano.2007.110"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12-11", 
    "datePublishedReg": "2014-12-11", 
    "description": "Molecular nanomagnets are attractive candidate qubits because of their wide inter- and intra-molecular tunability. Uniform magnetic pulses could be exploited to implement one- and two-qubit gates in presence of a properly engineered pattern of interactions, but the synthesis of suitable and potentially scalable supramolecular complexes has proven a very hard task. Indeed, no quantum algorithms have ever been implemented, not even a proof-of-principle two-qubit gate. Here we show that the magnetic couplings in two supramolecular {Cr7Ni}-Ni-{Cr7Ni} assemblies can be chemically engineered to fit the above requisites for conditional gates with no need of local control. Microscopic parameters are determined by a recently developed many-body ab-initio approach and used to simulate quantum gates. We find that these systems are optimal for proof-of-principle two-qubit experiments and can be exploited as building blocks of scalable architectures for quantum simulation.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/srep07423", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "keywords": [
      "two-qubit gates", 
      "quantum simulation", 
      "molecular nanomagnets", 
      "two-qubit experiment", 
      "ab initio approach", 
      "candidate qubits", 
      "quantum gates", 
      "conditional gates", 
      "switchable coupling", 
      "quantum algorithms", 
      "supramolecular complexes", 
      "magnetic pulse", 
      "microscopic parameters", 
      "magnetic coupling", 
      "nanomagnets", 
      "building blocks", 
      "gate", 
      "coupling", 
      "qubits", 
      "above requisites", 
      "tunability", 
      "pulses", 
      "synthesis", 
      "complexes", 
      "simulations", 
      "Ni", 
      "scalable architecture", 
      "assembly", 
      "wide inter", 
      "interaction", 
      "principles", 
      "experiments", 
      "presence", 
      "proof", 
      "parameters", 
      "block", 
      "system", 
      "inter", 
      "requisite", 
      "architecture", 
      "hard task", 
      "approach", 
      "patterns", 
      "algorithm", 
      "patterns of interaction", 
      "control", 
      "local control", 
      "need", 
      "task"
    ], 
    "name": "Molecular nanomagnets with switchable coupling for quantum simulation", 
    "pagination": "7423", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024685857"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep07423"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25502419"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep07423", 
      "https://app.dimensions.ai/details/publication/pub.1024685857"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T15:57", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_637.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/srep07423"
  }
]
 

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/srep07423'

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/srep07423'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep07423'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep07423'


 

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

210 TRIPLES      21 PREDICATES      80 URIs      66 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep07423 schema:about anzsrc-for:03
2 anzsrc-for:0303
3 schema:author N111a6adaac3a40918d03e72f82d168ee
4 schema:citation sg:pub.10.1007/bf02650179
5 sg:pub.10.1038/nature06962
6 sg:pub.10.1038/nature08812
7 sg:pub.10.1038/nature11341
8 sg:pub.10.1038/nnano.2007.110
9 sg:pub.10.1038/nnano.2008.404
10 schema:datePublished 2014-12-11
11 schema:datePublishedReg 2014-12-11
12 schema:description Molecular nanomagnets are attractive candidate qubits because of their wide inter- and intra-molecular tunability. Uniform magnetic pulses could be exploited to implement one- and two-qubit gates in presence of a properly engineered pattern of interactions, but the synthesis of suitable and potentially scalable supramolecular complexes has proven a very hard task. Indeed, no quantum algorithms have ever been implemented, not even a proof-of-principle two-qubit gate. Here we show that the magnetic couplings in two supramolecular {Cr7Ni}-Ni-{Cr7Ni} assemblies can be chemically engineered to fit the above requisites for conditional gates with no need of local control. Microscopic parameters are determined by a recently developed many-body ab-initio approach and used to simulate quantum gates. We find that these systems are optimal for proof-of-principle two-qubit experiments and can be exploited as building blocks of scalable architectures for quantum simulation.
13 schema:genre article
14 schema:isAccessibleForFree true
15 schema:isPartOf N8f7cbfdf70e94b66b72ebc51475f441f
16 Nf8b2b30b79b545be9ee3840177819dac
17 sg:journal.1045337
18 schema:keywords Ni
19 ab initio approach
20 above requisites
21 algorithm
22 approach
23 architecture
24 assembly
25 block
26 building blocks
27 candidate qubits
28 complexes
29 conditional gates
30 control
31 coupling
32 experiments
33 gate
34 hard task
35 inter
36 interaction
37 local control
38 magnetic coupling
39 magnetic pulse
40 microscopic parameters
41 molecular nanomagnets
42 nanomagnets
43 need
44 parameters
45 patterns
46 patterns of interaction
47 presence
48 principles
49 proof
50 pulses
51 quantum algorithms
52 quantum gates
53 quantum simulation
54 qubits
55 requisite
56 scalable architecture
57 simulations
58 supramolecular complexes
59 switchable coupling
60 synthesis
61 system
62 task
63 tunability
64 two-qubit experiment
65 two-qubit gates
66 wide inter
67 schema:name Molecular nanomagnets with switchable coupling for quantum simulation
68 schema:pagination 7423
69 schema:productId N3d60a9194bf9420dbf1f8e46a978a8f7
70 N6579aa69d9d94abe94dcb21e72031a2b
71 N8fe15de5eecc47ec94ba0b2cfe63c55b
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024685857
73 https://doi.org/10.1038/srep07423
74 schema:sdDatePublished 2022-09-02T15:57
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher N917005d0a02b4b97b1dd2a5c201d9361
77 schema:url https://doi.org/10.1038/srep07423
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N071690c5e3014ecf9a87a0d9372e8008 rdf:first sg:person.015221457347.02
82 rdf:rest N73dd50f47a4345a58c00d89affde771e
83 N111a6adaac3a40918d03e72f82d168ee rdf:first sg:person.01033420117.26
84 rdf:rest N071690c5e3014ecf9a87a0d9372e8008
85 N2a309925db954f368d3c5016ac0948c1 rdf:first sg:person.0735535772.25
86 rdf:rest Nbdeae1fad9524d45b876ae6f397b8d55
87 N3d60a9194bf9420dbf1f8e46a978a8f7 schema:name pubmed_id
88 schema:value 25502419
89 rdf:type schema:PropertyValue
90 N558b7ea0e4de4d3b8e868883e53a7cea rdf:first sg:person.01221632746.28
91 rdf:rest rdf:nil
92 N6579aa69d9d94abe94dcb21e72031a2b schema:name dimensions_id
93 schema:value pub.1024685857
94 rdf:type schema:PropertyValue
95 N6f54630dd92b443bbc20d8503a5e0a14 rdf:first sg:person.07355377711.15
96 rdf:rest Neff58e37ef8445a2951f90f41fd20bb0
97 N73dd50f47a4345a58c00d89affde771e rdf:first sg:person.0651066246.66
98 rdf:rest Nbcae057082464c84bfcaf51aee91b8ed
99 N8f7cbfdf70e94b66b72ebc51475f441f schema:issueNumber 1
100 rdf:type schema:PublicationIssue
101 N8fe15de5eecc47ec94ba0b2cfe63c55b schema:name doi
102 schema:value 10.1038/srep07423
103 rdf:type schema:PropertyValue
104 N917005d0a02b4b97b1dd2a5c201d9361 schema:name Springer Nature - SN SciGraph project
105 rdf:type schema:Organization
106 N96ae07c21c024132bbb0496ef5807d94 rdf:first sg:person.01336061346.04
107 rdf:rest N6f54630dd92b443bbc20d8503a5e0a14
108 Nbcae057082464c84bfcaf51aee91b8ed rdf:first sg:person.0731674672.28
109 rdf:rest N2a309925db954f368d3c5016ac0948c1
110 Nbdeae1fad9524d45b876ae6f397b8d55 rdf:first sg:person.0745203337.19
111 rdf:rest N96ae07c21c024132bbb0496ef5807d94
112 Neff58e37ef8445a2951f90f41fd20bb0 rdf:first sg:person.016552617421.24
113 rdf:rest N558b7ea0e4de4d3b8e868883e53a7cea
114 Nf8b2b30b79b545be9ee3840177819dac schema:volumeNumber 4
115 rdf:type schema:PublicationVolume
116 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
117 schema:name Chemical Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
120 schema:name Macromolecular and Materials Chemistry
121 rdf:type schema:DefinedTerm
122 sg:journal.1045337 schema:issn 2045-2322
123 schema:name Scientific Reports
124 schema:publisher Springer Nature
125 rdf:type schema:Periodical
126 sg:person.01033420117.26 schema:affiliation grid-institutes:grid.8385.6
127 schema:familyName Chiesa
128 schema:givenName Alessandro
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033420117.26
130 rdf:type schema:Person
131 sg:person.01221632746.28 schema:affiliation grid-institutes:grid.10383.39
132 schema:familyName Santini
133 schema:givenName Paolo
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221632746.28
135 rdf:type schema:Person
136 sg:person.01336061346.04 schema:affiliation grid-institutes:grid.10383.39
137 schema:familyName Amoretti
138 schema:givenName Giuseppe
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336061346.04
140 rdf:type schema:Person
141 sg:person.015221457347.02 schema:affiliation grid-institutes:grid.5379.8
142 schema:familyName Whitehead
143 schema:givenName George F. S.
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015221457347.02
145 rdf:type schema:Person
146 sg:person.016552617421.24 schema:affiliation grid-institutes:grid.5379.8
147 schema:familyName Winpenny
148 schema:givenName Richard E. P.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016552617421.24
150 rdf:type schema:Person
151 sg:person.0651066246.66 schema:affiliation grid-institutes:grid.10383.39
152 schema:familyName Carretta
153 schema:givenName Stefano
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651066246.66
155 rdf:type schema:Person
156 sg:person.0731674672.28 schema:affiliation grid-institutes:grid.5379.8
157 schema:familyName Carthy
158 schema:givenName Laura
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731674672.28
160 rdf:type schema:Person
161 sg:person.0735535772.25 schema:affiliation grid-institutes:grid.5379.8
162 schema:familyName Timco
163 schema:givenName Grigore A.
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735535772.25
165 rdf:type schema:Person
166 sg:person.07355377711.15 schema:affiliation grid-institutes:None
167 schema:familyName Pavarini
168 schema:givenName Eva
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07355377711.15
170 rdf:type schema:Person
171 sg:person.0745203337.19 schema:affiliation grid-institutes:grid.184769.5
172 schema:familyName Teat
173 schema:givenName Simon J.
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745203337.19
175 rdf:type schema:Person
176 sg:pub.10.1007/bf02650179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038336282
177 https://doi.org/10.1007/bf02650179
178 rdf:type schema:CreativeWork
179 sg:pub.10.1038/nature06962 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030932016
180 https://doi.org/10.1038/nature06962
181 rdf:type schema:CreativeWork
182 sg:pub.10.1038/nature08812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026793563
183 https://doi.org/10.1038/nature08812
184 rdf:type schema:CreativeWork
185 sg:pub.10.1038/nature11341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015361904
186 https://doi.org/10.1038/nature11341
187 rdf:type schema:CreativeWork
188 sg:pub.10.1038/nnano.2007.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008460050
189 https://doi.org/10.1038/nnano.2007.110
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/nnano.2008.404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031283245
192 https://doi.org/10.1038/nnano.2008.404
193 rdf:type schema:CreativeWork
194 grid-institutes:None schema:alternateName JARA High-Performance Computing
195 schema:name Institute for Advanced Simulation, Forschungszentrum Jülich, 52425, Jülich, Germany
196 JARA High-Performance Computing
197 rdf:type schema:Organization
198 grid-institutes:grid.10383.39 schema:alternateName Dipartimento di Fisica e Scienze della Terra, Università di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy
199 schema:name Dipartimento di Fisica e Scienze della Terra, Università di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy
200 rdf:type schema:Organization
201 grid-institutes:grid.184769.5 schema:alternateName Advanced Light Source, Lawrence Berkeley Laboratory, MS2-400, 94720, Berkeley, California, USA
202 schema:name Advanced Light Source, Lawrence Berkeley Laboratory, MS2-400, 94720, Berkeley, California, USA
203 rdf:type schema:Organization
204 grid-institutes:grid.5379.8 schema:alternateName School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom
205 schema:name School of Chemistry and Photon Science Institute, University of Manchester, Oxford Road, M13 9PL, Manchester, United Kingdom
206 rdf:type schema:Organization
207 grid-institutes:grid.8385.6 schema:alternateName Institute for Advanced Simulation, Forschungszentrum Jülich, 52425, Jülich, Germany
208 schema:name Dipartimento di Fisica e Scienze della Terra, Università di Parma, Parco Area delle Scienze 7/a, 43124, Parma, Italy
209 Institute for Advanced Simulation, Forschungszentrum Jülich, 52425, Jülich, Germany
210 rdf:type schema:Organization
 




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


...