Honors & Awards

  • Chinese Government Award for Outstanding Students Abroad, Chinese Government (May 2016)
  • MRS Graduate Student Award, Materials Research Society (Dec. 2015)

Boards, Advisory Committees, Professional Organizations

  • Lead Guest Editor, Journal of Nanomaterials (2015 - Present)

Professional Education

  • Doctor of Philosophy, Georgia Institute of Technology (2016)

Stanford Advisors

  • Yi Cui, Postdoctoral Faculty Sponsor

All Publications

  • Micro-cable structured textile for simultaneously harvesting solar and mechanical energy Nature Energy Chen, J., Huang, Y., Zhang, N., Zou, H., Liu, R., Tao, C., Fan, X., Wang, Z. 2016; 1

    View details for DOI 10.1038/nenergy.2016.138

  • Networks of Triboelectric Nanogenerators for Harvesting Water Wave Energy: A Potential Approach toward Blue Energy ACS NANO Chen, J., Yang, J., Li, Z., Fan, X., Zi, Y., Jing, Q., Guo, H., Wen, Z., Pradel, K. C., Niu, S., Wang, Z. L. 2015; 9 (3): 3324-3331


    With 70% of the earth's surface covered with water, wave energy is abundant and has the potential to be one of the most environmentally benign forms of electric energy. However, owing to lack of effective technology, water wave energy harvesting is almost unexplored as an energy source. Here, we report a network design made of triboelectric nanogenerators (TENGs) for large-scale harvesting of kinetic water energy. Relying on surface charging effect between the conventional polymers and very thin layer of metal as electrodes for each TENG, the TENG networks (TENG-NW) that naturally float on the water surface convert the slow, random, and high-force oscillatory wave energy into electricity. On the basis of the measured output of a single TENG, the TENG-NW is expected to give an average power output of 1.15 MW from 1 km(2) surface area. Given the compelling features, such as being lightweight, extremely cost-effective, environmentally friendly, easily implemented, and capable of floating on the water surface, the TENG-NW renders an innovative and effective approach toward large-scale blue energy harvesting from the ocean.

    View details for DOI 10.1021/acsnano.5b00534

    View details for Web of Science ID 000351791800107

    View details for PubMedID 25719956

  • Personalized Keystroke Dynamics for Self-Powered Human-Machine Interfacing ACS NANO Chen, J., Zhu, G., Yang, J., Jing, Q., Bai, P., Yang, W., Qi, X., Su, Y., Wang, Z. L. 2015; 9 (1): 105-116


    The computer keyboard is one of the most common, reliable, accessible, and effective tools used for human--machine interfacing and information exchange. Although keyboards have been used for hundreds of years for advancing human civilization, studying human behavior by keystroke dynamics using smart keyboards remains a great challenge. Here we report a self-powered, non-mechanical-punching keyboard enabled by contact electrification between human fingers and keys, which converts mechanical stimuli applied to the keyboard into local electronic signals without applying an external power. The intelligent keyboard (IKB) can not only sensitively trigger a wireless alarm system once gentle finger tapping occurs but also trace and record typed content by detecting both the dynamic time intervals between and during the inputting of letters and the force used for each typing action. Such features hold promise for its use as a smart security system that can realize detection, alert, recording, and identification. Moreover, the IKB is able to identify personal characteristics from different individuals, assisted by the behavioral biometric of keystroke dynamics. Furthermore, the IKB can effectively harness typing motions for electricity to charge commercial electronics at arbitrary typing speeds greater than 100 characters per min. Given the above features, the IKB can be potentially applied not only to self-powered electronics but also to artificial intelligence, cyber security, and computer or network access control.

    View details for DOI 10.1021/nn506832w

    View details for Web of Science ID 000348619000013

    View details for PubMedID 25552331

  • Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors ENERGY & ENVIRONMENTAL SCIENCE Wang, Z. L., Chen, J., Lin, L. 2015; 8 (8): 2250-2282

    View details for DOI 10.1039/c5ee01532d

    View details for Web of Science ID 000358730600003

  • Harmonic-Resonator-Based Triboelectric Nanogenerator as a Sustainable Power Source and a Self-Powered Active Vibration Sensor ADVANCED MATERIALS Chen, J., Zhu, G., Yang, W., Jing, Q., Bai, P., Yang, Y., Hou, T., Wang, Z. L. 2013; 25 (42): 6094-6099


    A harmonic-resonator-based triboelectric nanogenerator (TENG) is presented as a sustainable power source and an active vibration sensor. It can effectively respond to vibration frequencies ranging from 2 to 200 Hz with a considerably wide working bandwidth of 13.4 Hz. This work not only presents a new principle in the field of vibration energy harvesting but also greatly expands the applicability of TENGs.

    View details for DOI 10.1002/adma.201302397

    View details for Web of Science ID 000327801900010

    View details for PubMedID 23999798

  • Reviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator Joule Chen, J., Wang, Z. L. 2017; 1 (3): 480–521
  • Automatic Mode Transition Enabled Robust Triboelectric Nanogenerators ACS NANO Chen, J., Yang, J., Guo, H., Li, Z., Zheng, L., Su, Y., Wen, Z., Fan, X., Wang, Z. L. 2015; 9 (12): 12334-12343


    Although the triboelectric nanogenerator (TENG) has been proven to be a renewable and effective route for ambient energy harvesting, its robustness remains a great challenge due to the requirement of surface friction for a decent output, especially for the in-plane sliding mode TENG. Here, we present a rationally designed TENG for achieving a high output performance without compromising the device robustness by, first, converting the in-plane sliding electrification into a contact separation working mode and, second, creating an automatic transition between a contact working state and a noncontact working state. The magnet-assisted automatic transition triboelectric nanogenerator (AT-TENG) was demonstrated to effectively harness various ambient rotational motions to generate electricity with greatly improved device robustness. At a wind speed of 6.5 m/s or a water flow rate of 5.5 L/min, the harvested energy was capable of lighting up 24 spot lights (0.6 W each) simultaneously and charging a capacitor to greater than 120 V in 60 s. Furthermore, due to the rational structural design and unique output characteristics, the AT-TENG was not only capable of harvesting energy from natural bicycling and car motion but also acting as a self-powered speedometer with ultrahigh accuracy. Given such features as structural simplicity, easy fabrication, low cost, wide applicability even in a harsh environment, and high output performance with superior device robustness, the AT-TENG renders an effective and practical approach for ambient mechanical energy harvesting as well as self-powered active sensing.

    View details for DOI 10.1021/acsnano.5b05618

    View details for Web of Science ID 000367280100084

    View details for PubMedID 26529374