Unraveling Thermal Transport Mechanisms in Monolayer CrSi₂N₄ Using Machine-Learned Potentials

Key Points

• To explore the thermal transport mechanisms in monolayer CrSi₂N₄ using machine learning techniques.
• Applied machine-learned potentials to model thermal transport.
• Analyzed heat dissipation in two-dimensional nanoelectronic materials.
• Conducted simulations to evaluate thermal performance.
• Demonstrated enhanced heat dissipation capabilities for monolayer CrSi₂N₄.
• Observed a significant increase in thermal conductivity compared to conventional materials.