Search Results - "Song, Qichen"

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  1. 1

    Discovery of TaFeSb-based half-Heuslers with high thermoelectric performance by Zhu, Hangtian, Mao, Jun, Li, Yuwei, Sun, Jifeng, Wang, Yumei, Zhu, Qing, Li, Guannan, Song, Qichen, Zhou, Jiawei, Fu, Yuhao, He, Ran, Tong, Tian, Liu, Zihang, Ren, Wuyang, You, Li, Wang, Zhiming, Luo, Jun, Sotnikov, Andrei, Bao, Jiming, Nielsch, Kornelius, Chen, Gang, Singh, David J., Ren, Zhifeng

    Published in Nature communications (17-01-2019)
    “…Discovery of thermoelectric materials has long been realized by the Edisonian trial and error approach. However, recent progress in theoretical calculations,…”
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  2. 2

    Mobility enhancement in heavily doped semiconductors via electron cloaking by Zhou, Jiawei, Zhu, Hangtian, Song, Qichen, Ding, Zhiwei, Mao, Jun, Ren, Zhifeng, Chen, Gang

    Published in Nature communications (06-05-2022)
    “…Doping is central for solid-state devices from transistors to thermoelectric energy converters. The interaction between electrons and dopants plays a pivotal…”
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  3. 3

    Bi-directional tuning of thermal transport in SrCoOx with electrochemically induced phase transitions by Lu, Qiyang, Huberman, Samuel, Zhang, Hantao, Song, Qichen, Wang, Jiayue, Vardar, Gulin, Hunt, Adrian, Waluyo, Iradwikanari, Chen, Gang, Yildiz, Bilge

    Published in Nature materials (01-06-2020)
    “…Unlike the wide-ranging dynamic control of electrical conductivity, there does not exist an analogous ability to tune thermal conductivity by means of electric…”
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  4. 4

    Large thermoelectric power factor from crystal symmetry-protected non-bonding orbital in half-Heuslers by Zhou, Jiawei, Zhu, Hangtian, Liu, Te-Huan, Song, Qichen, He, Ran, Mao, Jun, Liu, Zihang, Ren, Wuyang, Liao, Bolin, Singh, David J., Ren, Zhifeng, Chen, Gang

    Published in Nature communications (30-04-2018)
    “…Modern society relies on high charge mobility for efficient energy production and fast information technologies. The power factor of a material—the combination…”
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  5. 5
  6. 6

    Generalized Two-Temperature Model for Coupled Phonons in Nanosized Graphene by An, Meng, Song, Qichen, Yu, Xiaoxiang, Meng, Han, Ma, Dengke, Li, Ruiyang, Jin, Zelin, Huang, Baoling, Yang, Nuo

    Published in Nano letters (13-09-2017)
    “…The design of graphene-based composite with high thermal conductivity requires a comprehensive understanding of phonon coupling in nanosized graphene. We…”
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  7. 7

    The effect of shallow vs. deep level doping on the performance of thermoelectric materials by Song, Qichen, Zhou, Jiawei, Meroueh, Laureen, Broido, David, Ren, Zhifeng, Chen, Gang

    Published in Applied physics letters (26-12-2016)
    “…It is well known that the efficiency of a good thermoelectric material should be optimized with respect to doping concentration. However, much less attention…”
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  8. 8

    Ab initio study of electron mean free paths and thermoelectric properties of lead telluride by Song, Qichen, Liu, Te-Huan, Zhou, Jiawei, Ding, Zhiwei, Chen, Gang

    Published in Materials today physics (01-09-2017)
    “…Last few years have witnessed significant enhancement of thermoelectric figure of merit of lead telluride (PbTe) via nanostructuring. Despite the experimental…”
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  9. 9

    Simultaneous enhancement in electrical conductivity and Seebeck coefficient by single- to double-valley transition in a Dirac-like band by Dai, Yu, Zhou, Wenjiang, Kim, Hyun-Jung, Song, Qichen, Qian, Xin, Liu, Te-Huan, Yang, Ronggui

    Published in npj computational materials (12-11-2022)
    “…SnTe possesses a single- to double-valley transition in the conduction band minimum when a compressive strain is applied. Through a tight-binding analysis, it…”
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  10. 10

    Electron mean-free-path filtering in Dirac material for improved thermoelectric performance by Liu, Te-Huan, Zhou, Jiawei, Li, Mingda, Ding, Zhiwei, Song, Qichen, Liao, Bolin, Fu, Liang, Chen, Gang

    “…Recent advancements in thermoelectric materials have largely benefited from various approaches, including band engineering and defect optimization, among which…”
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  11. 11

    Nanoscale imaging of phonon dynamics by electron microscopy by Gadre, Chaitanya A., Yan, Xingxu, Song, Qichen, Li, Jie, Gu, Lei, Huyan, Huaixun, Aoki, Toshihiro, Lee, Sheng-Wei, Chen, Gang, Wu, Ruqian, Pan, Xiaoqing

    Published in Nature (London) (09-06-2022)
    “…Spatially resolved vibrational mapping of nanostructures is indispensable to the development and understanding of thermal nanodevices 1 , modulation of thermal…”
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  12. 12

    Effect of Twist Angle on Interfacial Thermal Transport in Two-Dimensional Bilayers by Zhang, Lenan, Zhong, Yang, Li, Xiangyu, Park, Ji-Hoon, Song, Qichen, Li, Long, Guo, Liang, Kong, Jing, Chen, Gang

    Published in Nano letters (13-09-2023)
    “…Advances in two-dimensional (2D) devices require innovative approaches for manipulating transport properties. Analogous to the electrical and optical…”
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  13. 13

    Toward Optimal Heat Transfer of 2D–3D Heterostructures via van der Waals Binding Effects by Zhang, Lenan, Zhong, Yang, Qian, Xin, Song, Qichen, Zhou, Jiawei, Li, Long, Guo, Liang, Chen, Gang, Wang, Evelyn N

    Published in ACS applied materials & interfaces (29-09-2021)
    “…Two-dimensional (2D) materials and their heterogeneous integration have enabled promising electronic and photonic applications. However, significant thermal…”
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  14. 14

    Bi-directional tuning of thermal transport in SrCoO x with electrochemically induced phase transitions by Lu, Qiyang, Huberman, Samuel, Zhang, Hantao, Song, Qichen, Wang, Jiayue, Vardar, Gulin, Hunt, Adrian, Waluyo, Iradwikanari, Chen, Gang, Yildiz, Bilge

    Published in Nature materials (01-06-2020)
    “…Unlike the wide-ranging dynamic control of electrical conductivity, there does not exist an analogous ability to tune thermal conductivity by means of electric…”
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  15. 15

    Panoramic Mapping of Phonon Transport from Ultrafast Electron Diffraction and Scientific Machine Learning by Chen, Zhantao, Shen, Xiaozhe, Andrejevic, Nina, Liu, Tongtong, Luo, Duan, Nguyen, Thanh, Drucker, Nathan C., Kozina, Michael E., Song, Qichen, Hua, Chengyun, Chen, Gang, Wang, Xijie, Kong, Jing, Li, Mingda

    Published in Advanced materials (Weinheim) (28-11-2022)
    “…Abstract One central challenge in understanding phonon thermal transport is a lack of experimental tools to investigate frequency‐resolved phonon transport…”
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  16. 16

    Panoramic Mapping of Phonon Transport from Ultrafast Electron Diffraction and Scientific Machine Learning by Chen, Zhantao, Shen, Xiaozhe, Andrejevic, Nina, Liu, Tongtong, Luo, Duan, Nguyen, Thanh, Drucker, Nathan C., Kozina, Michael E., Song, Qichen, Hua, Chengyun, Chen, Gang, Wang, Xijie, Kong, Jing, Li, Mingda

    Published in Advanced materials (Weinheim) (01-01-2023)
    “…One central challenge in understanding phonon thermal transport is a lack of experimental tools to investigate frequency‐resolved phonon transport. Although…”
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  17. 17

    Tailoring Superconductivity with Quantum Dislocations by Li, Mingda, Song, Qichen, Liu, Te-Huan, Meroueh, Laureen, Mahan, Gerald D, Dresselhaus, Mildred S, Chen, Gang

    Published in Nano letters (09-08-2017)
    “…Despite the established knowledge that crystal dislocations can affect a material’s superconducting properties, the exact mechanism of the electron-dislocation…”
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  18. 18
  19. 19

    The effect of shallow vs. deep level doping on the performance of thermoelectric materials by Song, Qichen, Zhou, Jiawei, Meroueh, Laureen, Broido, David, Ren, Zhifeng, Chen, Gang

    Published in Applied physics letters (27-12-2016)
    “…It is well known that the efficiency of a good thermoelectric material should be optimized with respect to doping concentration. However, much less attention…”
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  20. 20

    Virtual node graph neural network for full phonon prediction by Okabe, Ryotaro, Chotrattanapituk, Abhijatmedhi, Boonkird, Artittaya, Andrejevic, Nina, Fu, Xiang, Jaakkola, Tommi S, Song, Qichen, Nguyen, Thanh, Drucker, Nathan, Mu, Sai, Wang, Yao, Liao, Bolin, Cheng, Yongqiang, Li, Mingda

    Published in Nature Computational Science (12-07-2024)
    “…Understanding the structure-property relationship is crucial for designing materials with desired properties. The past few years have witnessed remarkable…”
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