Flexible thermoelectrics: From energy harvesting to human-machine interaction

被引:7
|
作者
Wang, Yao [1 ,2 ]
Yang, Lu [1 ]
Zheng, Yantao [1 ]
Wang, Dangxiao [3 ]
Deng, Yuan [2 ]
机构
[1] Beihang Univ, Sch Mat Sci & Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Hangzhou Innovat Inst, Key Lab Intelligent Sensing Mat & Chip Integrat Te, Hangzhou 310052, Peoples R China
[3] Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
DUAL-PARAMETER SENSORS; SEEBECK COEFFICIENT; CARBON NANOTUBES; POWER-FACTOR; POLYMER COMPOSITES; PERFORMANCE; FILMS; HYBRIDS; FABRICATION; CONDUCTIVITY;
D O I
10.1063/5.0135663
中图分类号
O59 [应用物理学];
学科分类号
摘要
Thermoelectrics is the simplest technology applicable for direct energy conversion between heat and electricity. After over 60 years of fruitful research efforts, recent boom in flexible electronics has promoted the rapid development of flexible thermoelectrics with rising performances, discovery of new materials and concepts, unconventional device configuration, and emerging applications not possible for traditional thermoelectric (TE) semiconductors. In this Perspective, we first overview representative flexible TE materials, then discuss recent breakthroughs for flexible TE devices assembled from various types of TE materials employing different technical routes. They exhibit promising power generation and sensing performances, and aim for applications in wearable electronics, such as the power supply harvesting heat from body for low-power electronics, temperature sensors for tactile e-skin, and newly emerged application as a thermo-haptic device in an extended reality system.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] MODELING HUMAN-MACHINE INTERACTION FOR THE ASSESSMENT OF HUMAN RELIABILITY
    Schwencke, Daniel
    Grippenkoven, Jan
    Lemmer, Karsten
    RAIL HUMAN FACTORS: SUPPORTING RELIABILITY, SAFETY AND COST REDUCTION, 2013, : 707 - 717
  • [42] Bottlenecks and needs in human-human and human-machine interaction - a view from and into the neurosurgical OR
    Blaar, Melanie
    Janss, Armin
    Dell'Anna, Jasmin
    Hoellig, Anke
    Radermacher, Klaus
    Clusmann, Hans
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2016, 61 (02): : 135 - 146
  • [43] The Sense of Agency in Human-Machine Interaction Systems
    Yu, Hui
    Du, Shengzhi
    Kurien, Anish
    van Wyk, Barend Jacobus
    Liu, Qingxue
    APPLIED SCIENCES-BASEL, 2024, 14 (16):
  • [44] Bioinspired kinesthetic system for human-machine interaction
    Shan, Liuting
    Liu, Yaqian
    Zhang, Xianghong
    Li, Enlong
    Yu, Rengjian
    Lian, Qiming
    Chen, Xiang
    Chen, Huipeng
    Guo, Tailiang
    NANO ENERGY, 2021, 88
  • [45] Interaction Principles for Cooperative Human-Machine Systems
    Bengler, Klaus
    Zimmermann, Markus
    Bortot, Dino
    Kienle, Martin
    Damboeck, Daniel
    IT-INFORMATION TECHNOLOGY, 2012, 54 (04): : 157 - 163
  • [46] Network Interpretation of a Human-Machine Interaction System
    Lau, Hon Fai
    Yamamoto, Shigeru
    ASCC: 2009 7TH ASIAN CONTROL CONFERENCE, VOLS 1-3, 2009, : 1491 - 1496
  • [47] Constraining the Sense of Agency in Human-Machine Interaction
    Zanatto, Debora
    Bifani, Simone
    Noyes, Jan
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2024, 40 (13) : 3482 - 3493
  • [48] Human-Machine Interaction, Methods and International Standards
    Serritiello, Dora
    IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2019, 22 (01) : 33 - +
  • [49] Handling knowledge sources in human-machine interaction
    Minker W.
    Néel F.
    International Journal of Speech Technology, 2002, 5 (02) : 171 - 188
  • [50] Neuronal correlates of emotions in human-machine interaction
    Benjamin Blankertz
    Klaus-Robert Müller
    Gabriel Curio
    BMC Neuroscience, 10 (Suppl 1)