Modeling of structure and porosity in amorphous silicon systems using Monte Carlo methods.

Area of Science:

• Materials Science
• Computational Chemistry
• Condensed Matter Physics

Background:

• Porous solids are crucial for studying confined fluids.
• Zeolites offer defined pore geometry, but many amorphous solids lack crystalline order, complicating pore description.
• Characterizing pore geometry in amorphous structures is challenging.

Purpose of the Study:

• To develop a novel modeling approach for simulating porosity in amorphous systems.
• To apply the method to create a model of microporous amorphous silicon.
• To compare the simulated structural aspects with existing data.

Main Methods:

• Utilized a Monte Carlo algorithm to simulate porosity.
• Incorporated constraints for internal volume and surface area.
• Compared model results with hybrid reverse Monte Carlo simulations and literature data.

Main Results:

• Successfully modeled porosity within an amorphous system.
• Presented a model of microporous amorphous silicon.
• Found coordination defects are predominantly located at pore surface walls.

Conclusions:

• The Monte Carlo approach provides a viable method for modeling amorphous porous systems.
• The study offers insights into the structural characteristics of amorphous porous silicon.
• Coordination defects are identified as key features of pore surfaces in amorphous materials.