65 citations · 305 across the 10 of their papers we have counts for
10 papers
Radiative Thermal Transistor
Yuxuan Li, Yongdi Dang, Shen Zhang +5
Developing thermal analogues of field-effect transistor could open the door to a low-power and even zero-power communication technology working with heat rather than electricity. T…
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…
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…
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…
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…
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…
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…
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…
Variable thermal transport in black, blue, and violet phosphorene from extensive atomistic simulations with a neuroevolution potential
Penghua Ying, Ting Liang, Ke Xu +6
Phosphorus has diverse chemical bonds and even in its two-dimensional form there are three stable allotropes: black phosphorene (Black-P), blue phosphorene (Blue-P), and violet pho…
Near-field radiative heat transfer between hybrid polaritonic structures
Naeem Iqbal, Sen Zhang, Shuai Wang +8
Near-field radiative heat transfer between close objects may exceed the far-field blackbody radiation in orders of magnitude when exploiting polaritonic materials. Great efforts ha…