activity
20222024
most citedExploring high thermal conductivity polymers via interpretable machine learning with physical descriptors

71 citations · 147 across the 8 of their papers we have counts for

collaborators

8 papers

cond-mat.soft2024★ 31 cited

AI-assisted inverse design of sequence-ordered high intrinsic thermal conductivity polymers

Xiang Huang, C. Y. Zhao, Hong Wang +1

Artificial intelligence (AI) promotes the polymer design paradigm from a traditional trial-and-error approach to a data-driven style. Achieving high thermal conductivity (TC) for i…

physics.optics2023★ 5 cited

Data-driven design of multilayer hyperbolic metamaterials for near-field thermal radiative modulator with high modulation contrast

Tuwei Liao, C. Y. Zhao, Hong Wang +1

The thermal modulator based on the near-field radiative heat transfer has wide applications in thermoelectric diodes, thermoelectric transistors, and thermal storage. However, the…

cond-mat.mtrl-sci2023★ 3 cited

Large modulation of thermal transport in 2D semimetal triphosphides by doping-induced electron-phonon coupling

Yongchao Rao, C. Y. Zhao, Lei Shen +1

Recent studies demonstrate that novel 2D triphosphides semiconductors possess high carrier mobility and promising thermoelectric performance, while the carrier transport behaviors…

cond-mat.soft2023★ 9 cited

Microscopic mechanism of tunable thermal conductivity in carbon nanotube-geopolymer nanocomposites

Wenkai Liu, Ling Qin, C. Y. Zhao +1

Geopolymer has been considered as a green and low-carbon material with great potential application due to its simple synthesis process, environmental protection, excellent mechanic…

cond-mat.mtrl-sci2023★ 71 cited

Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors

Xiang Huang, Shengluo Ma, C. Y. Zhao +2

The efficient and economical exploitation of polymers with high thermal conductivity is essential to solve the issue of heat dissipation in organic devices. Currently, the experime…

cond-mat.mes-hall2022★ 23 cited

Enhancing thermoelectric properties of isotope graphene nanoribbons via machine learning guided manipulation of disordered antidots and interfaces

Xiang Huang, Shengluo Ma, Haidong Wang +4

Structural manipulation at the nanoscale breaks the intrinsic correlations among different energy carrier transport properties, achieving high thermoelectric performance. However,…

physics.optics2022★ 2 cited

Numerical analysis of effective refractive index ultrasonic sensor based on Cantilever arm structure slot-based dual-micro-ring resonator

C. Y. Zhao, P. Y. Li, C. M. Zhang

We propose a novel ultrasonic sensor structure composed of Cantilever arm structure slot dual-micro-ring resonators(DMRR).We present a theoretical analysis of transmission by using…

physics.optics2022★ 3 cited

Numerical analysis of effective refractive index bio-sensor based on graphene-embedded slot-based dual-micro-ring resonator

C. Y. Zhao, P. Y. Chen, P. Y. Li +1

We propose a novel bio-sensor structure composed of slot dual-micro-ring resonators and mono-layer graphene.Based on the electromagnetically induced transparency (EIT)-like phenome…