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Updated: May 30, 2026

Using Laser Scanning Microscopy to Determine Electromigration in Molybdenum Disilicide
09:41

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Published on: May 23, 2025

Helium cluster dissolution in molybdenum.

O Runevall1, N Sandberg

  • 1Department of Physics, Royal Institute of Technology, S-106 91 Stockholm, Sweden.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|August 11, 2011
PubMed
Summary
This summary is machine-generated.

This study used atomistic simulations to investigate helium behavior in molybdenum. Results show helium migration is defect-assisted above 1100 K, aligning with experimental data.

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Area of Science:

  • Materials Science
  • Nuclear Engineering
  • Computational Physics

Background:

  • Understanding helium behavior in materials is crucial for nuclear applications.
  • Molybdenum is a candidate material for fusion reactor components.
  • Helium embrittlement is a significant concern in materials exposed to irradiation.

Purpose of the Study:

  • To investigate helium retention and diffusion in molybdenum at an atomistic scale.
  • To quantify the thermal stability of helium-vacancy clusters.
  • To compare atomistic simulation results with experimental desorption spectra.

Main Methods:

  • Ab initio calculations using density functional theory (DFT).
  • Modeling of helium-vacancy clusters and their thermal stability.
  • Calculation of helium emission rates to predict desorption spectra.

Main Results:

  • Thermal stability of helium-vacancy clusters was quantified.
  • Calculated helium emission rates were used to derive a desorption spectrum.
  • Simulated desorption spectrum showed satisfactory agreement with experimental data, except at high temperatures.
  • Helium migration above 1100 K is primarily assisted by lattice defects (vacancies).

Conclusions:

  • Atomistic simulations provide valuable insights into helium behavior in molybdenum.
  • Defect-assisted diffusion is the dominant mechanism for helium migration in molybdenum at elevated temperatures.
  • Further refinement of models may be needed to fully capture high-temperature experimental observations.