Development of Interatomic Potentials to Model the Interfacial Heat Transport of Ge/GaAs
Spencer Wyant, Andrew Rohskopf, Asegun Henry

TL;DR
This study develops and validates machine learned interatomic potentials for modeling heat transport at the Ge/GaAs interface, revealing complex interfacial force relationships and assessing the potentials' accuracy compared to ab initio data.
Contribution
The paper introduces two spectral neighborhood analysis potentials for Ge/GaAs interfaces and evaluates their effectiveness in capturing interfacial heat transport properties.
Findings
Ab initio force constants recover bulk-like values 1-2 nm from the interface.
Mixing rules are likely ineffective for interface systems due to complex force relationships.
The developed potentials provide insights into modeling interfacial heat transport.
Abstract
Molecular dynamics simulations provide a versatile framework to study interfacial heat transport, but their accuracy remains limited by the accuracy of available interatomic potentials. In the past, researchers have adopted the use of analytic potentials and simple mixing rules to model interfacial systems, with minimal justification for their use. On the other hand, contemporary machine learned interatomic potentials have greater complexity, but have not seen rigorous validation of interfacial heat transport properties. Moreover, when fitting to ab initio data, it is not known whether interface systems small enough to be tractable for density functional theory calculations can produce reasonable interatomic force constants. These and related questions are studied herein using a model Ge/GaAs system, with a particular focus on the harmonic force constants (IFC2s) of the interface. The…
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Taxonomy
TopicsThermal properties of materials · Heat Transfer and Optimization · Adhesion, Friction, and Surface Interactions
