Review: understanding the properties of amorphous materials with high-performance computing methods

Area of Science:

• Materials Science
• Computational Physics
• Condensed Matter Physics

Background:

• Amorphous materials lack the long-range atomic order found in crystalline solids.
• Standard analytical techniques for crystalline materials are often insufficient for amorphous systems.
• Understanding the structure-property relationships in amorphous materials remains a significant scientific challenge.

Purpose of the Study:

• To review the application of high-performance computing (HPC) in simulating amorphous materials.
• To highlight the diverse range of computational methods applicable to amorphous systems.
• To present case studies demonstrating the practical use of HPC in materials science.

Main Methods:

• Review of high-performance computing techniques.
• Analysis of simulation methodologies for disordered materials.
• Compilation of case studies across various amorphous material types.

Main Results:

• Demonstration of HPC as a powerful tool complementing experimental studies of amorphous materials.
• Showcasing the versatility of computational approaches for different amorphous systems.
• Identification of key simulation strategies for materials with no long-range order.

Conclusions:

• High-performance computing is essential for advancing the study of amorphous materials.
• A variety of computational methods are available for simulating these complex materials.
• The presented case studies offer practical insights for researchers in the field.