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Updated: Jun 22, 2026

Quantification of Hydrogen Concentrations in Surface and Interface Layers and Bulk Materials through Depth Profiling with Nuclear Reaction Analysis
Published on: March 29, 2016
Self-diffusion and macroscopic diffusion of hydrogen in amorphous metals from first-principles calculations
1School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0100, USA.
First-principles methods reveal that hydrogen diffusion in amorphous metals is concentration-dependent. Kinetic Monte Carlo simulations accurately determine transport diffusion coefficients for amorphous metal membranes used in hydrogen purification.
Area of Science:
- Materials Science
- Physical Chemistry
- Computational Materials Science
Background:
- Interstitial hydrogen diffusion is critical for amorphous metals used in hydrogen purification membranes.
- Understanding hydrogen transport in amorphous alloys is essential for optimizing membrane performance.
Purpose of the Study:
- To characterize interstitial hydrogen diffusion in amorphous metals using first-principles methods.
- To demonstrate the utility of kinetic Monte Carlo simulations for assessing hydrogen diffusion coefficients.
Main Methods:
- Utilized first-principles calculations to derive diffusion rates.
- Employed kinetic Monte Carlo simulations to model interstitial hydrogen diffusion.
- Investigated amorphous Fe(3)B as a model system.
Main Results:
- Transport diffusion coefficient of hydrogen is strongly concentration-dependent in amorphous metals.
- The transport diffusion coefficient differs from the self-diffusion coefficient at non-dilute concentrations.
- First-principles guided simulations accurately predict both self- and transport diffusion coefficients.
Conclusions:
- First-principles based methods are effective for characterizing hydrogen diffusion in amorphous metals.
- Kinetic Monte Carlo simulations are valuable tools for screening amorphous alloys for hydrogen purification membranes.
- Accurate determination of transport diffusion coefficients is crucial for practical applications.
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