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Jiefang Li

Jiefang Li

· Research Associate Professor

Virginia Tech · Materials Science and Engineering

Active 1987–2025

h-index62
Citations12.7k
Papers31120 last 5y
Funding—

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About

Jiefang Li is a Research Associate Professor in the Department of Materials Science and Engineering at Virginia Tech. His research interests include piezoelectric and dielectric materials, magnetic shape memory alloys, interferometry and ellipsometry, reciprocal phase space mapping, thin-layer deposition by laser ablation, and electrical and optical measurement technologies. He holds a B.S. in Physics from Shanghai Teachers University, an M.S. in Physics from the University of Missouri - Rolla, and a Ph.D. in Solid State Science from Pennsylvania State University.

Research topics

  • Physics
  • Quantum mechanics
  • Computer Science
  • Condensed matter physics
  • Artificial Intelligence
  • Remote sensing
  • Computer vision
  • Nanotechnology
  • Geography
  • Materials science

Selected publications

  • Conductivitylike Gilbert Damping due to Intraband Scattering in Epitaxial Iron

    Physical Review Letters · 2020 · 72 citations

    Confirming the origin of Gilbert damping by experiment has remained a challenge for many decades, even for simple ferromagnetic metals. Here, we experimentally identify Gilbert damping that increases with decreasing electronic scattering in epitaxial thin films of pure Fe. This observation of conductivitylike damping, which cannot be accounted for by classical eddy-current loss, is in excellent quantitative agreement with theoretical predictions of Gilbert damping due to intraband scattering. Ou…

  • Dephasing of transverse spin current in ferrimagnetic alloys

    Physical review. B./Physical review. B · 2021 · 38 citations

    It has been predicted that transverse spin current can propagate coherently (without dephasing) over a long distance in antiferromagnetically ordered metals. Here, we estimate the dephasing length of transverse spin current in ferrimagnetic CoGd alloys by spin pumping measurements across the compensation point. A modified drift-diffusion model, which accounts for spin-current transmission through the ferrimagnet, reveals that the dephasing length is about 4--5 times longer in nearly compensated…

  • A Passive Tunable Magnetoelectric Gyrator: A Highly Efficient Approach to Non-Power Consumable Capacitor Control Methods

    IEEE Transactions on Industrial Electronics · 2020-02-05 · 13 citations

    article

    Tunability in magnetoelectric (ME) gyrators is of importance for realizing controllable energy-efficient electronics. Here, we investigated a novel passive control method that exhibits a high frequency tunability of up to 370 Hz using a non-power-consuming (passive) capacitor approach. The method requires zero external controllable power as the frequency is changed. This tuning does not decrease the power conversion efficiency (86%) of the gyrator. Our results indicate that the internal mechanic…

  • Multicomponent hexaborides with low work functions by ultra-fast high temperature sintering

    Open Ceramics · 2023-09-30 · 6 citations

    articleOpen access

    A reduction of the work function (Wf) in multicomponent hexaborides has been achieved by doping with highly electropositive Ba, which enhances electron emission. Single-phase bulk multicomponent polycrystalline hexaborides of La0.5Ba0.5B6, Ce0.5Ba0.5B6, and BaB6 powders were first synthesized and then densified by ultra-fast high temperature sintering. Using a total reaction and densification time of 6 min, a density of ∼90% theoretical was reached. The UHS sintering is a resistive heating techn…

  • Dimension effects of a magnetoelectric gyrator with FeCoSiB/Pb(Zr,Ti)O3 layered composites core for efficient power conversion

    Sensors and Actuators A Physical · 2019-12-26 · 5 citations

    articleOpen access

Frequent coauthors

  • D. Viehland

    Virginia Tech

    257 shared
  • Haosu Luo

    82 shared
  • Yaojin Wang

    Nanjing University of Science and Technology

    57 shared
  • Chung Ming Leung

    Harbin Institute of Technology

    49 shared
  • Xin Zhuang

    Shandong University of Traditional Chinese Medicine

    46 shared
  • D. Viehland

    Virginia Tech

    37 shared
  • Qinhui Zhang

    34 shared
  • Junqi Gao

    Shanghai Jiao Tong University

    34 shared

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