activity
20222024
most citedSub-micrometer phonon mean free paths in metal-organic frameworks revealed by machine-learning molecular dynamics simulations

65 citations · 305 across the 10 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cond-mat.mtrl-sci2023★ 54 cited

Mechanisms of temperature-dependent thermal transport in amorphous silica from machine-learning molecular dynamics

Ting Liang, Penghua Ying, Ke Xu +4

Amorphous silica (a-SiO) is a foundational disordered material for which the thermal transport properties are important for various applications. To accurately model the intera…

physics.optics2023★ 19 cited

Measurement of Near-field Thermal Radiation between Multilayered Metamaterials

Sen Zhang, Yongdi Dang, Xinran Li +6

The near-field radiative heat transfer (NFRHT) between one-dimensional metamaterials comprising phonon dielectric multilayers was experimented. Large sized (1cm x 1cm) near-field s…

cond-mat.mtrl-sci2023★ 65 cited

Sub-micrometer phonon mean free paths in metal-organic frameworks revealed by machine-learning molecular dynamics simulations

Penghua Ying, Ting Liang, Ke Xu +4

Metal-organic frameworks (MOFs) are a family of materials that have high porosity and structural tunability and hold great potential in various applications, many of which requirin…

physics.optics2023

Ultrawideband solid-state terahertz phase shifter electrically modulated by tunable conductive interface in total internal reflection geometry

Xudong Liu, Daosong Yu, Chuanfu Sun +4

Phase modulation plays a crucial role in various terahertz applications, including biomedical imaging, high-rate communication, and radar detection. Existing terahertz phase shifte…

physics.comp-ph2023★ 38 cited

Twist-Dependent Anisotropic Thermal Conductivity in Homogeneous MoS Stacks

Wenwu Jiang, Ting Liang, Jianbin Xu +1

Thermal transport property of homogeneous twisted molybdenum disulfide (MoS) is investigated using non-equilibrium molecular dynamics simulations with the state-of-art force fi…

physics.comp-ph2023★ 63 cited

Accurate prediction of heat conductivity of water by a neuroevolution potential

Ke Xu, Yongchao Hao, Ting Liang +4

We propose an approach that can accurately predict the heat conductivity of liquid water. On the one hand, we develop an accurate machine-learned potential based on the neuroevolut…

physics.app-ph2023★ 12 cited

Ultra-soft Thermal Diodes Enabled by Dual-Alkane-Based Phase Change Composites

Yunsong Pang, Junhong Li, Zhibin Wen +5

Thermal diode, a type of device that allows heat to flow in one direction preferentially, can be employed in many thermal applications. However, if the mechanical compliance of the…