71 citations · 172 across the 9 of their papers we have counts for
9 papers
High-throughput discovery of metal oxides with high thermoelectric performance via interpretable feature engineering on small data
Shengluo Ma, Yongchao Rao, Xiang Huang +1
In this work, we have proposed a data-driven screening framework combining the interpretable machine learning with high-throughput calculations to identify a series of metal oxides…
Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity
Xiang Huang, Shenghong Ju
Designing polymers with high intrinsic thermal conductivity (TC) is critically important for the thermal management of organic electronics and photonics. However, this is a challen…
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…
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…
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…
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…
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…
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,…
Designing thermal radiation metamaterials via hybrid adversarial autoencoder and Bayesian optimization
Dezhao Zhu, Jiang Guo, Gang Yu +3
Designing thermal radiation metamaterials is challenging especially for problems with high degrees of freedom and complex objective. In this letter, we have developed a hybrid mate…