Charge Optimized Many Body (COMB) potentials for simulation of nuclear fuel and clad

Simon R. Phillpot, Andrew C. Antony, Linyuan Shi, Michele L. Fullarton, Tao Liang, Susan B. Sinnott, Yongfeng Zhang, S. Bulent Biner

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We briefly outline the Charge Optimized Many Body (COMB) potential formalism, which enables the molecular dynamics simulation of complex materials structures in which multiple types of bonding (metallic, covalent, ionic and secondary bonding) coexist. We illustrate its capabilities to address critical issues in the area of nuclear fuel. In particular, we look at U, UO2 and the process of oxidation of U. Further, we characterize the mechanical behavior of Zr, representing LWR clad, and explore the effects of oxidation and hydridation on the mechanical response and briefly illustrate the capabilities of COMB simulations of corrosion. Finally, we briefly assess the materials fidelity of the COMB approach by examining the COMB description for the Zr-H system.

Original languageEnglish (US)
Pages (from-to)231-241
Number of pages11
JournalComputational Materials Science
Volume148
DOIs
StatePublished - Jun 1 2018

Fingerprint

nuclear fuels
Nuclear fuels
Charge
Oxidation
Molecular dynamics
Simulation
simulation
Corrosion
oxidation
Computer simulation
Mechanical Behavior
Fidelity
Molecular Dynamics Simulation
corrosion
molecular dynamics
formalism

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Chemistry(all)
  • Materials Science(all)
  • Mechanics of Materials
  • Physics and Astronomy(all)
  • Computational Mathematics

Cite this

Phillpot, Simon R. ; Antony, Andrew C. ; Shi, Linyuan ; Fullarton, Michele L. ; Liang, Tao ; Sinnott, Susan B. ; Zhang, Yongfeng ; Biner, S. Bulent. / Charge Optimized Many Body (COMB) potentials for simulation of nuclear fuel and clad. In: Computational Materials Science. 2018 ; Vol. 148. pp. 231-241.
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Charge Optimized Many Body (COMB) potentials for simulation of nuclear fuel and clad. / Phillpot, Simon R.; Antony, Andrew C.; Shi, Linyuan; Fullarton, Michele L.; Liang, Tao; Sinnott, Susan B.; Zhang, Yongfeng; Biner, S. Bulent.

In: Computational Materials Science, Vol. 148, 01.06.2018, p. 231-241.

Research output: Contribution to journalArticle

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AU - Phillpot, Simon R.

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AU - Sinnott, Susan B.

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