Designing thermal demultiplexer: Splitting phonons by negative mass and genetic algorithm optimization
Yu-Tao Tan(谭宇涛)1, Lu-Qin Wang(王鲁钦)1,†, Zi Wang(王子)1, Jiebin Peng(彭洁彬)1, and Jie Ren(任捷)1,2,‡
1 Center for Phononics and Thermal Energy Science, China-EU Joint Laboratory on Nanophononics, Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China; 2 Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai 200092, China
Abstract We propose the concept of thermal demultiplexer, which can split the heat flux in different frequency ranges into different directions. We demonstrate this device concept in a honeycomb lattice with dangling atoms. From the view of effective negative mass, we give a qualitative explanation of how the dangling atoms change the original transport property. We first design a two-mass configuration thermal demultiplexer, and find that the heat flux can flow into different ports in corresponding frequency ranges roughly. Then, to improve the performance, we choose the suitable masses of dangling atoms and optimize the four-mass configuration with genetic algorithm. Finally, we give out the optimal configuration with a remarkable effect. Our study finds a way to selectively split spectrum-resolved heat to different ports as phonon splitter, which would provide a new means to manipulate phonons and heat, and to guide the design of phononic thermal devices in the future.
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11935010 and 11775159), the Shanghai Science and Technology Committee, China (Grant Nos. 18ZR1442800 and 18JC1410900), and the Opening Project of Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology.
Yu-Tao Tan(谭宇涛), Lu-Qin Wang(王鲁钦), Zi Wang(王子), Jiebin Peng(彭洁彬), and Jie Ren(任捷) Designing thermal demultiplexer: Splitting phonons by negative mass and genetic algorithm optimization 2021 Chin. Phys. B 30 036301
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