Literature DB >> 16578877

Simulating materials failure by using up to one billion atoms and the world's fastest computer: Work-hardening.

Farid F Abraham1, Robert Walkup, Huajian Gao, Mark Duchaineau, Tomas Diaz De La Rubia, Mark Seager.   

Abstract

We describe the second of two large-scale atomic simulation projects on materials failure performed on the 12-teraflop ASCI (Accelerated Strategic Computing Initiative) White computer at the Lawrence Livermore National Laboratory. This investigation simulates ductile failure by using more than one billion atoms where the true complexity of the creation and interaction of hundreds of dislocations are revealed.

Entities:  

Year:  2002        PMID: 16578877      PMCID: PMC122853          DOI: 10.1073/pnas.062054999

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  2 in total

1.  Dynamics of Brittle Fracture with Variable Elasticity.

Authors: 
Journal:  Phys Rev Lett       Date:  1996-07-29       Impact factor: 9.161

2.  Simulating materials failure by using up to one billion atoms and the world's fastest computer: Brittle fracture.

Authors:  Farid F Abraham; Robert Walkup; Huajian Gao; Mark Duchaineau; Tomas Diaz De La Rubia; Mark Seager
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

  2 in total
  5 in total

1.  Systematic investigation of theories of transport in the Lennard-Jones fluid.

Authors:  Kippi M Dyer; B M Pettitt; George Stell
Journal:  J Chem Phys       Date:  2007-01-21       Impact factor: 3.488

2.  Singular orientations and faceted motion of dislocations in body-centered cubic crystals.

Authors:  Keonwook Kang; Vasily V Bulatov; Wei Cai
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-04       Impact factor: 11.205

3.  Simulating materials failure by using up to one billion atoms and the world's fastest computer: Brittle fracture.

Authors:  Farid F Abraham; Robert Walkup; Huajian Gao; Mark Duchaineau; Tomas Diaz De La Rubia; Mark Seager
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

4.  Gaussian Process Regression for Materials and Molecules.

Authors:  Volker L Deringer; Albert P Bartók; Noam Bernstein; David M Wilkins; Michele Ceriotti; Gábor Csányi
Journal:  Chem Rev       Date:  2021-08-16       Impact factor: 60.622

5.  Molecular latent space simulators.

Authors:  Hythem Sidky; Wei Chen; Andrew L Ferguson
Journal:  Chem Sci       Date:  2020-08-26       Impact factor: 9.825

  5 in total

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