Phonon anharmonicity: a pertinent review of recent progress and perspective

B Wei, Q Sun, C Li, J Hong - Science China Physics, Mechanics & …, 2021 - Springer
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 …

Nanocomposite-based solar desalination: Recent developments and future prospects

MN Mohammed, MA Zaed, R Saidur, KH Tan - Journal of Water Process …, 2024 - Elsevier
Desalination stands as a pivotal solution amid global water scarcity, increasingly relying on
nanocomposites for transformative advancements. Desalination solves water scarcity, but …

[HTML][HTML] A deep neural network interatomic potential for studying thermal conductivity of β-Ga2O3

R Li, Z Liu, A Rohskopf, K Gordiz, A Henry… - Applied Physics …, 2020 - pubs.aip.org
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 …

Efficient calculation of the lattice thermal conductivity by atomistic simulations with ab initio accuracy

J Brorsson, A Hashemi, Z Fan… - Advanced Theory …, 2022 - Wiley Online Library
High‐order force constant expansions can provide accurate representations of the potential
energy surface relevant to vibrational motion. They can be efficiently parametrized using …

[HTML][HTML] Exploring model complexity in machine learned potentials for simulated properties

A Rohskopf, J Goff, D Sema, K Gordiz… - Journal of Materials …, 2023 - Springer
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 …

Machine learned interatomic potentials for modeling interfacial heat transport in Ge/GaAs

S Wyant, A Rohskopf, A Henry - Computational Materials Science, 2021 - Elsevier
Molecular dynamics simulations provide a versatile framework to study interfacial heat
transport, but their accuracy remains limited by the accuracy of available interatomic …

Understanding phonon transport properties using classical molecular dynamics simulations

MG Muraleedharan, K Gordiz, A Rohskopf… - arXiv preprint arXiv …, 2020 - arxiv.org
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 …

Efficient determination of Born-effective charges, LO-TO splitting, and Raman tensors of solids with a real-space atom-centered deep learning approach

O Malenfant-Thuot, K Ryczko, I Tamblyn… - Journal of Physics …, 2024 - iopscience.iop.org
We introduce a deep neural network (DNN) framework called the Real-space Atomic
Decomposition NETwork (radnet), which is capable of making accurate predictions of …

Assessment of empirical interatomic potential to predict thermal conductivity in ThO2 and UO2

M Jin, M Khafizov, C Jiang, S Zhou… - Journal of Physics …, 2021 - iopscience.iop.org
Computing vibrational properties of crystals in the presence of complex defects often
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 …