A Gaussian mixture modelling approach to the data-driven estimation of atomistic support for continuum stress

Manfred Hannes Ulz, Sean James Moran

Research output: Contribution to journalArticleResearchpeer-review

Original languageEnglish
Pages (from-to)- 065009
JournalModelling and simulation in materials science and engineering
Volume20
Publication statusPublished - 2012

Fields of Expertise

  • Advanced Materials Science

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)
  • Theoretical

Cite this

A Gaussian mixture modelling approach to the data-driven estimation of atomistic support for continuum stress. / Ulz, Manfred Hannes; Moran, Sean James.

In: Modelling and simulation in materials science and engineering, Vol. 20, 2012, p. - 065009.

Research output: Contribution to journalArticleResearchpeer-review

@article{453a17fe077c46638b4f45653720217f,
title = "A Gaussian mixture modelling approach to the data-driven estimation of atomistic support for continuum stress",
author = "Ulz, {Manfred Hannes} and Moran, {Sean James}",
year = "2012",
language = "English",
volume = "20",
pages = "-- 065009",
journal = "Modelling and simulation in materials science and engineering",
issn = "0965-0393",
publisher = "IOP Publishing Ltd.",

}

TY - JOUR

T1 - A Gaussian mixture modelling approach to the data-driven estimation of atomistic support for continuum stress

AU - Ulz, Manfred Hannes

AU - Moran, Sean James

PY - 2012

Y1 - 2012

M3 - Article

VL - 20

SP - - 065009

JO - Modelling and simulation in materials science and engineering

JF - Modelling and simulation in materials science and engineering

SN - 0965-0393

ER -