activity
20222026
most citedAccurate estimation of interfacial thermal conductance between silicon and diamond enabled by a machine learning interatomic potential

26 citations · 42 across the 4 of their papers we have counts for

collaborators

4 papers

cond-mat.mtrl-sci2026

Interfacial thermal transport in Si/SiC and SiC/diamond heterostructures: effects of amorphous interlayers and SiC polytypes

Pedram Mirchi, Shirin Sabokdast, Ali Rajabpour

This study examines phonon-mediated heat transfer across Si/SiC and SiC/diamond interfaces using non-equilibrium molecular dynamics simulations, emphasizing the influence of SiC po…

cond-mat.mtrl-sci2024★ 26 cited

Accurate estimation of interfacial thermal conductance between silicon and diamond enabled by a machine learning interatomic potential

Ali Rajabpour, Bohayra Mortazavi, Pedram Mirchi +4

Thermal management at silicon-diamond interface is critical for advancing high-performance electronic and optoelectronic devices. In this study, we calculate the interfacial therma…

cond-mat.mtrl-sci2024

Lattice thermal conductivity and mechanical properties of the single-layer penta-NiN2 explored by a deep-learning interatomic potential

Pedram Mirchi, Christophe Adessi, Samy Merabia +1

Penta-NiN2, a novel pentagonal 2D sheet with potential nanoelectronic applications, is investigated in terms of its lattice thermal conductivity, stability, and mechanical behavior…

cond-mat.mtrl-sci2022★ 16 cited

Lattice thermal conductivity and elastic modulus of XN4 (X=Be, Mg and Pt) 2D materials using machine learning interatomic potentials

K. Ghorbani, P. Mirchi, S. Arabha +2

The newly synthesized BeN4 monolayer has introduced a novel group of 2D materials called nitrogen-rich 2D materials. In the present study, the anisotropic mechanical and thermal pr…