The development of computational chemistry approach to predict the viscosity of lubricants

K. Konno, D. Kamei, T. Yokosuka, S. Takami, M. Kubo, A. Miyamoto

Research output: Contribution to journalConference articlepeer-review

19 Citations (Scopus)

Abstract

Sophisticated machinery requires the development of new lubricants that realize friction-less contact, perfect transmittance of torque, and so on. However, experimental approaches have needed long time to find new lubricants. Therefore, the prediction of lubricant properties by computational chemistry should be crucial to accelerate the design of lubricants. This study treats precise evaluation of viscosity employing molecular dynamics simulation and prediction based on neural network.

Original languageEnglish
Pages (from-to)455-458
Number of pages4
JournalTribology International
Volume36
Issue number4-6
DOIs
Publication statusPublished - 2003 Apr
EventTribology of Information Storage Devices 2001 - Senadai, Japan
Duration: 2001 Dec 12001 Dec 1

Keywords

  • Computational chemistry
  • Prediction
  • Viscosity

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