Polymer-brush lubrication in the limit of strong compression View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-12

AUTHORS

L. Spirin, A. Galuschko, T. Kreer, A. Johner, J. Baschnagel, K. Binder

ABSTRACT

By means of molecular dynamics simulations we demonstrate power laws for macroscopic transport properties of strongly compressed polymer-brush bilayers to stationary shear motion beyond the Newtonian response. The corresponding exponents are derived from a recently developed scaling theory, where the interpenetration between the brushes is taken as the relevant length scale. This allows to predict the dependence of the critical shear rate, which separates linear and non-linear behavior, on compression and molecular parameters of the bilayer. We present scaling plots for chain extension (R), viscosity (η) , and shear force (F over a wide range of Weissenberg numbers, W . In agreement with our theory, the simulation reveals simple power laws, R ∼ W (0.53), η ∼ W (-0.46), and F ∼ W (0.54), for the non-Newtonian regime. More... »

PAGES

307-311

Identifiers

URI

http://scigraph.springernature.com/pub.10.1140/epje/i2010-10674-3

DOI

http://dx.doi.org/10.1140/epje/i2010-10674-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022150757

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21107880


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/2008/0303", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Macromolecular and Materials Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Compressive Strength", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lubricants", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Molecular Dynamics Simulation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Motion", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Shear Strength", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stress, Mechanical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surface Properties", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Viscosity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Johannes Gutenberg University of Mainz", 
          "id": "https://www.grid.ac/institutes/grid.5802.f", 
          "name": [
            "Institute of Physics, Johannes Gutenberg-University, Staudingerweg 7, 55099, Mainz, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Spirin", 
        "givenName": "L.", 
        "id": "sg:person.0767146643.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767146643.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Charles Sadron", 
          "id": "https://www.grid.ac/institutes/grid.461902.8", 
          "name": [
            "Institut Charles Sadron, 23 rue du Loess, BP 84047, 67034, Strasbourg Cedex 2, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Galuschko", 
        "givenName": "A.", 
        "id": "sg:person.01035262043.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035262043.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Charles Sadron", 
          "id": "https://www.grid.ac/institutes/grid.461902.8", 
          "name": [
            "Institute of Physics, Johannes Gutenberg-University, Staudingerweg 7, 55099, Mainz, Germany", 
            "Institut Charles Sadron, 23 rue du Loess, BP 84047, 67034, Strasbourg Cedex 2, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kreer", 
        "givenName": "T.", 
        "id": "sg:person.0640741225.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640741225.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Charles Sadron", 
          "id": "https://www.grid.ac/institutes/grid.461902.8", 
          "name": [
            "Institut Charles Sadron, 23 rue du Loess, BP 84047, 67034, Strasbourg Cedex 2, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Johner", 
        "givenName": "A.", 
        "id": "sg:person.01322411220.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322411220.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Charles Sadron", 
          "id": "https://www.grid.ac/institutes/grid.461902.8", 
          "name": [
            "Institut Charles Sadron, 23 rue du Loess, BP 84047, 67034, Strasbourg Cedex 2, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baschnagel", 
        "givenName": "J.", 
        "id": "sg:person.0764215657.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764215657.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johannes Gutenberg University of Mainz", 
          "id": "https://www.grid.ac/institutes/grid.5802.f", 
          "name": [
            "Institute of Physics, Johannes Gutenberg-University, Staudingerweg 7, 55099, Mainz, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Binder", 
        "givenName": "K.", 
        "id": "sg:person.01177720023.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177720023.31"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1103/physreve.76.026706", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001778563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.76.026706", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001778563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.ms.26.080196.003053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006466839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00268970500134706", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019627593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cphc.200300901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022161788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat1233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028972491", 
          "https://doi.org/10.1038/nmat1233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmat1233", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028972491", 
          "https://doi.org/10.1038/nmat1233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/352143a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029202580", 
          "https://doi.org/10.1038/352143a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1091215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035483412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la00039a040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056138916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la030008x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056145189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la030008x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056145189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la904119c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056166228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la904119c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056166228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma00059a038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056175255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma00205a022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056183677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma011207v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056185989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma011207v", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056185989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma970821x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056207549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma970821x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056207549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1642615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057729133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.464164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058042174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.61.566", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060798204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.61.566", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060798204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.63.1074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060799284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.63.1074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060799284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.78.1182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060814691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.78.1182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060814691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1166753", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062459115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/0295-5075/19/3/001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064228941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/0295-5075/30/4/001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064230537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/epl/i2001-00229-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064236032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1243/13506501jet143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064457252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1243/13506501jet143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064457252"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "By means of molecular dynamics simulations we demonstrate power laws for macroscopic transport properties of strongly compressed polymer-brush bilayers to stationary shear motion beyond the Newtonian response. The corresponding exponents are derived from a recently developed scaling theory, where the interpenetration between the brushes is taken as the relevant length scale. This allows to predict the dependence of the critical shear rate, which separates linear and non-linear behavior, on compression and molecular parameters of the bilayer. We present scaling plots for chain extension (R), viscosity (\u03b7) , and shear force (F over a wide range of Weissenberg numbers, W . In agreement with our theory, the simulation reveals simple power laws, R \u223c W (0.53), \u03b7 \u223c W (-0.46), and F \u223c W (0.54), for the non-Newtonian regime.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1140/epje/i2010-10674-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1356903", 
        "issn": [
          "1292-8941", 
          "1292-895X"
        ], 
        "name": "The European Physical Journal E", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "33"
      }
    ], 
    "name": "Polymer-brush lubrication in the limit of strong compression", 
    "pagination": "307-311", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "69881cb0946c5dfb2188953193309b9cecb273fcd585f1c9bfd1c91fd1a29bd0"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21107880"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101126530"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1140/epje/i2010-10674-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1022150757"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1140/epje/i2010-10674-3", 
      "https://app.dimensions.ai/details/publication/pub.1022150757"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:07", 
    "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/v90/0000000001_0000000264/records_8660_00000505.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1140%2Fepje%2Fi2010-10674-3"
  }
]
 

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.10.1140/epje/i2010-10674-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1140/epje/i2010-10674-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1140/epje/i2010-10674-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1140/epje/i2010-10674-3'


 

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

218 TRIPLES      21 PREDICATES      62 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1140/epje/i2010-10674-3 schema:about N0fa35f09de1f42c4a57a9c50bf42c9cf
2 N1153ba510bfd409b87852a9e63a5aeb7
3 N30f4e4c204c94eb39f14eb3ab9851d45
4 N8f6f5ba0943c43b38da98a7eef8023cd
5 Nb740fa6a81da4166821d8b347d58623a
6 Nd172e27197414f028ca47640e4db237b
7 Nd4f7514dc2434dec9fd03fc05664c21b
8 Nd515757dfa5747df81cd5234ae4e4852
9 Ne0ce5b7b6b8c4d79bbbeb0b92c2d4881
10 anzsrc-for:03
11 anzsrc-for:0303
12 schema:author N5f6898f1ba1b49c5b006be1df506c0dc
13 schema:citation sg:pub.10.1038/352143a0
14 sg:pub.10.1038/nmat1233
15 https://doi.org/10.1002/cphc.200300901
16 https://doi.org/10.1021/la00039a040
17 https://doi.org/10.1021/la030008x
18 https://doi.org/10.1021/la904119c
19 https://doi.org/10.1021/ma00059a038
20 https://doi.org/10.1021/ma00205a022
21 https://doi.org/10.1021/ma011207v
22 https://doi.org/10.1021/ma970821x
23 https://doi.org/10.1063/1.1642615
24 https://doi.org/10.1063/1.464164
25 https://doi.org/10.1080/00268970500134706
26 https://doi.org/10.1103/physreve.76.026706
27 https://doi.org/10.1103/physrevlett.61.566
28 https://doi.org/10.1103/physrevlett.63.1074
29 https://doi.org/10.1103/physrevlett.78.1182
30 https://doi.org/10.1126/science.1091215
31 https://doi.org/10.1126/science.1166753
32 https://doi.org/10.1146/annurev.ms.26.080196.003053
33 https://doi.org/10.1209/0295-5075/19/3/001
34 https://doi.org/10.1209/0295-5075/30/4/001
35 https://doi.org/10.1209/epl/i2001-00229-y
36 https://doi.org/10.1243/13506501jet143
37 schema:datePublished 2010-12
38 schema:datePublishedReg 2010-12-01
39 schema:description By means of molecular dynamics simulations we demonstrate power laws for macroscopic transport properties of strongly compressed polymer-brush bilayers to stationary shear motion beyond the Newtonian response. The corresponding exponents are derived from a recently developed scaling theory, where the interpenetration between the brushes is taken as the relevant length scale. This allows to predict the dependence of the critical shear rate, which separates linear and non-linear behavior, on compression and molecular parameters of the bilayer. We present scaling plots for chain extension (R), viscosity (η) , and shear force (F over a wide range of Weissenberg numbers, W . In agreement with our theory, the simulation reveals simple power laws, R ∼ W (0.53), η ∼ W (-0.46), and F ∼ W (0.54), for the non-Newtonian regime.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N338da864f19e4fdda3ca430dac1869de
44 N842fcf3af8974d729f1cf5ad6f161d61
45 sg:journal.1356903
46 schema:name Polymer-brush lubrication in the limit of strong compression
47 schema:pagination 307-311
48 schema:productId N01a0025d2985487293f53434539c1c33
49 N5bc63effe6964ac1b54ce21b6b458a5b
50 N8120a47accce4dc890146a1e50552bb2
51 Nf441d11d8d374578b8b8ed910e2fcb29
52 Nfe853762eab546abb0b20506deffd07d
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022150757
54 https://doi.org/10.1140/epje/i2010-10674-3
55 schema:sdDatePublished 2019-04-10T14:07
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher Nf6c18ddefdd3446a8c2665d3ae59721b
58 schema:url http://link.springer.com/10.1140%2Fepje%2Fi2010-10674-3
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N01a0025d2985487293f53434539c1c33 schema:name readcube_id
63 schema:value 69881cb0946c5dfb2188953193309b9cecb273fcd585f1c9bfd1c91fd1a29bd0
64 rdf:type schema:PropertyValue
65 N0fa35f09de1f42c4a57a9c50bf42c9cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Compressive Strength
67 rdf:type schema:DefinedTerm
68 N1153ba510bfd409b87852a9e63a5aeb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Polymers
70 rdf:type schema:DefinedTerm
71 N30f4e4c204c94eb39f14eb3ab9851d45 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Shear Strength
73 rdf:type schema:DefinedTerm
74 N338da864f19e4fdda3ca430dac1869de schema:volumeNumber 33
75 rdf:type schema:PublicationVolume
76 N4ae13c8157284fd69475cba987f3922f rdf:first sg:person.0640741225.47
77 rdf:rest N7cffa084cd124917a2870284eb5c296d
78 N585a769f64b8435f876e162ab9adceb6 rdf:first sg:person.01177720023.31
79 rdf:rest rdf:nil
80 N5bc63effe6964ac1b54ce21b6b458a5b schema:name pubmed_id
81 schema:value 21107880
82 rdf:type schema:PropertyValue
83 N5f6898f1ba1b49c5b006be1df506c0dc rdf:first sg:person.0767146643.89
84 rdf:rest Ne3d378f8db6d45958950dc0c8e253595
85 N7cffa084cd124917a2870284eb5c296d rdf:first sg:person.01322411220.77
86 rdf:rest N9384be83577a4d2885732b244c3c921c
87 N8120a47accce4dc890146a1e50552bb2 schema:name dimensions_id
88 schema:value pub.1022150757
89 rdf:type schema:PropertyValue
90 N842fcf3af8974d729f1cf5ad6f161d61 schema:issueNumber 4
91 rdf:type schema:PublicationIssue
92 N8f6f5ba0943c43b38da98a7eef8023cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Motion
94 rdf:type schema:DefinedTerm
95 N9384be83577a4d2885732b244c3c921c rdf:first sg:person.0764215657.34
96 rdf:rest N585a769f64b8435f876e162ab9adceb6
97 Nb740fa6a81da4166821d8b347d58623a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Lubricants
99 rdf:type schema:DefinedTerm
100 Nd172e27197414f028ca47640e4db237b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Surface Properties
102 rdf:type schema:DefinedTerm
103 Nd4f7514dc2434dec9fd03fc05664c21b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Viscosity
105 rdf:type schema:DefinedTerm
106 Nd515757dfa5747df81cd5234ae4e4852 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Molecular Dynamics Simulation
108 rdf:type schema:DefinedTerm
109 Ne0ce5b7b6b8c4d79bbbeb0b92c2d4881 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Stress, Mechanical
111 rdf:type schema:DefinedTerm
112 Ne3d378f8db6d45958950dc0c8e253595 rdf:first sg:person.01035262043.70
113 rdf:rest N4ae13c8157284fd69475cba987f3922f
114 Nf441d11d8d374578b8b8ed910e2fcb29 schema:name nlm_unique_id
115 schema:value 101126530
116 rdf:type schema:PropertyValue
117 Nf6c18ddefdd3446a8c2665d3ae59721b schema:name Springer Nature - SN SciGraph project
118 rdf:type schema:Organization
119 Nfe853762eab546abb0b20506deffd07d schema:name doi
120 schema:value 10.1140/epje/i2010-10674-3
121 rdf:type schema:PropertyValue
122 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
123 schema:name Chemical Sciences
124 rdf:type schema:DefinedTerm
125 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
126 schema:name Macromolecular and Materials Chemistry
127 rdf:type schema:DefinedTerm
128 sg:journal.1356903 schema:issn 1292-8941
129 1292-895X
130 schema:name The European Physical Journal E
131 rdf:type schema:Periodical
132 sg:person.01035262043.70 schema:affiliation https://www.grid.ac/institutes/grid.461902.8
133 schema:familyName Galuschko
134 schema:givenName A.
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035262043.70
136 rdf:type schema:Person
137 sg:person.01177720023.31 schema:affiliation https://www.grid.ac/institutes/grid.5802.f
138 schema:familyName Binder
139 schema:givenName K.
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177720023.31
141 rdf:type schema:Person
142 sg:person.01322411220.77 schema:affiliation https://www.grid.ac/institutes/grid.461902.8
143 schema:familyName Johner
144 schema:givenName A.
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322411220.77
146 rdf:type schema:Person
147 sg:person.0640741225.47 schema:affiliation https://www.grid.ac/institutes/grid.461902.8
148 schema:familyName Kreer
149 schema:givenName T.
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640741225.47
151 rdf:type schema:Person
152 sg:person.0764215657.34 schema:affiliation https://www.grid.ac/institutes/grid.461902.8
153 schema:familyName Baschnagel
154 schema:givenName J.
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764215657.34
156 rdf:type schema:Person
157 sg:person.0767146643.89 schema:affiliation https://www.grid.ac/institutes/grid.5802.f
158 schema:familyName Spirin
159 schema:givenName L.
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767146643.89
161 rdf:type schema:Person
162 sg:pub.10.1038/352143a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029202580
163 https://doi.org/10.1038/352143a0
164 rdf:type schema:CreativeWork
165 sg:pub.10.1038/nmat1233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028972491
166 https://doi.org/10.1038/nmat1233
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1002/cphc.200300901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022161788
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1021/la00039a040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056138916
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1021/la030008x schema:sameAs https://app.dimensions.ai/details/publication/pub.1056145189
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1021/la904119c schema:sameAs https://app.dimensions.ai/details/publication/pub.1056166228
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1021/ma00059a038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056175255
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1021/ma00205a022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056183677
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1021/ma011207v schema:sameAs https://app.dimensions.ai/details/publication/pub.1056185989
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1021/ma970821x schema:sameAs https://app.dimensions.ai/details/publication/pub.1056207549
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1063/1.1642615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057729133
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1063/1.464164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058042174
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1080/00268970500134706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019627593
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1103/physreve.76.026706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001778563
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1103/physrevlett.61.566 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060798204
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1103/physrevlett.63.1074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060799284
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1103/physrevlett.78.1182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060814691
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1126/science.1091215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035483412
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1126/science.1166753 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062459115
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1146/annurev.ms.26.080196.003053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006466839
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1209/0295-5075/19/3/001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064228941
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1209/0295-5075/30/4/001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064230537
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1209/epl/i2001-00229-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1064236032
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1243/13506501jet143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064457252
211 rdf:type schema:CreativeWork
212 https://www.grid.ac/institutes/grid.461902.8 schema:alternateName Institut Charles Sadron
213 schema:name Institut Charles Sadron, 23 rue du Loess, BP 84047, 67034, Strasbourg Cedex 2, France
214 Institute of Physics, Johannes Gutenberg-University, Staudingerweg 7, 55099, Mainz, Germany
215 rdf:type schema:Organization
216 https://www.grid.ac/institutes/grid.5802.f schema:alternateName Johannes Gutenberg University of Mainz
217 schema:name Institute of Physics, Johannes Gutenberg-University, Staudingerweg 7, 55099, Mainz, Germany
218 rdf:type schema:Organization
 




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


...