activity
20192024
most citedThermal transport at a nanoparticle-water interface: A molecular dynamics and continuum modeling study

87 citations · 374 across the 13 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

11 papers · 1 filter

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-sci2024★ 9 cited

Extreme near-field heat transfer between silica surfaces

Ali Rajabpour, Julien El Hajj, Mauricio Gómez Viloria +4

Despite recent experiments exhibiting an impressive enhancement in radiative heat flux between parallel planar silica surfaces with gap sizes of about 10 nm, the exploration of sub…

cond-mat.mtrl-sci2023★ 21 cited

Enhanced interfacial thermal conductance in functionalized Boron Nitride/Polylactic acid nanocomposite: A molecular dynamics study

Ghazal Jamirad, Abbas Montazeri, Ali Rajabpour

The relatively low thermal conductivity of biodegradable polylactic acid (PLA) has limited its applications in various fields. To address this issue, the incorporation of nanofille…

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…

cond-mat.mtrl-sci2021★ 66 cited

Exploring thermal expansion of carbon-based nanosheets by machine-learning interatomic potentials

Bohayra Mortazavi, Ali Rajabpour, Xiaoying Zhuang +2

Examination of thermal expansion of two-dimensional (2D) nanomaterials is a challenging theoretical task with either ab-initio or classical molecular dynamics simulations. In this…