Phonon anharmonicity: a pertinent review of recent progress and perspective
Anharmonic lattice vibrations play pivotal roles in the thermal dynamics in condense matters
and affect how the atoms interact and conduct heat. An in-depth understanding of the …
and affect how the atoms interact and conduct heat. An in-depth understanding of the …
Nanocomposite-based solar desalination: Recent developments and future prospects
Desalination stands as a pivotal solution amid global water scarcity, increasingly relying on
nanocomposites for transformative advancements. Desalination solves water scarcity, but …
nanocomposites for transformative advancements. Desalination solves water scarcity, but …
[HTML][HTML] A deep neural network interatomic potential for studying thermal conductivity of β-Ga2O3
β-Ga 2 O 3 is a wide-bandgap semiconductor of significant technological importance for
electronics, but its low thermal conductivity is an impeding factor for its applications. In this …
electronics, but its low thermal conductivity is an impeding factor for its applications. In this …
Efficient calculation of the lattice thermal conductivity by atomistic simulations with ab initio accuracy
High‐order force constant expansions can provide accurate representations of the potential
energy surface relevant to vibrational motion. They can be efficiently parametrized using …
energy surface relevant to vibrational motion. They can be efficiently parametrized using …
[HTML][HTML] Exploring model complexity in machine learned potentials for simulated properties
Abstract Machine learning (ML) enables the development of interatomic potentials with the
accuracy of first principles methods while retaining the speed and parallel efficiency of …
accuracy of first principles methods while retaining the speed and parallel efficiency of …
Machine learned interatomic potentials for modeling interfacial heat transport in Ge/GaAs
Molecular dynamics simulations provide a versatile framework to study interfacial heat
transport, but their accuracy remains limited by the accuracy of available interatomic …
transport, but their accuracy remains limited by the accuracy of available interatomic …
Understanding phonon transport properties using classical molecular dynamics simulations
Predictive modeling of the phonon/thermal transport properties of materials is vital to rational
design for a diverse spectrum of engineering applications. Classical Molecular Dynamics …
design for a diverse spectrum of engineering applications. Classical Molecular Dynamics …
Efficient determination of Born-effective charges, LO-TO splitting, and Raman tensors of solids with a real-space atom-centered deep learning approach
We introduce a deep neural network (DNN) framework called the Real-space Atomic
Decomposition NETwork (radnet), which is capable of making accurate predictions of …
Decomposition NETwork (radnet), which is capable of making accurate predictions of …
Assessment of empirical interatomic potential to predict thermal conductivity in ThO2 and UO2
Computing vibrational properties of crystals in the presence of complex defects often
necessitates the use of (semi-) empirical potentials, which are typically not well …
necessitates the use of (semi-) empirical potentials, which are typically not well …
[图书][B] Deep Learning for Modeling Multi-Scale Thermal Transport
R Li - 2023 - search.proquest.com
With the ongoing miniaturization of devices and structures, thermal management has
become increasingly crucial to the performance and reliability of modern electronics. As the …
become increasingly crucial to the performance and reliability of modern electronics. As the …