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.
Abstract
Efficient heat dissipation is vital for the reliability and performance of next-generation nanoelectronics based on two-dimensional MA₂Z₄(M= Mo, W, V, Nb, Ta, Ti, Zr, Hf or Cr, A = Si...