Phononic combs in lithium niobate acoustic resonators

I I. Anderson (Department of Electrical and Computer Engineering, University of Texas at Austin , Austin, Texas 78758,) J J. Kramer (Department of Electrical and Computer Engineering, University of Texas at Austin , Austin, Texas 78758,) T T. H. Hsu Y Y. Wang V V. Chulukhadze (Department of Electrical and Computer Engineering, University of Texas at Austin , Austin, Texas 78758,) R R. Lu (Department of Electrical and Computer Engineering, University of Texas at Austin , Austin, Texas 78758,)

Abstract

Frequency combs consist of a spectrum of evenly spaced spectral lines. Optical frequency combs enable technologies ranging from timing, LiDAR, and ultra-stable signal sources. Microwave frequency combs are analogous to optical frequency combs, but often leverage electronic nonlinearity for comb generation. Generating microwave frequency combs using piezoelectric mechanical resonators would enable this behavior in a more compact form factor, thanks to the shorter acoustic wavelengths. In this work, we demonstrate a microwave frequency comb leveraging thermal nonlinearity in high quality factor (Q), overmoded acoustic resonators in thin-film lithium niobate. By providing input power at 257 MHz, which is the sum frequency of two acoustic modes at 86 and 171 MHz, we generate parametric downconversion and comb generation. We explore the nonlinear mixing regimes and the associated conditions for comb generation. Comb spacing is observed to vary significantly with drive frequency and power, and its general behavior is found to rely heavily on initial conditions. This demonstration showcases the potential for further improvement in compact and efficient microwave frequency combs, leveraging nonlinear acoustic resonators.

Article Details

Volume / Issue Vol. 128, Issue 5
Published February 02, 2026
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (6)

I

I. Anderson

Department of Electrical and Computer Engineering, University of Texas at Austin , Austin, Texas 78758,

J

J. Kramer

Department of Electrical and Computer Engineering, University of Texas at Austin , Austin, Texas 78758,

T

T. H. Hsu

Y

Y. Wang

V

V. Chulukhadze

Department of Electrical and Computer Engineering, University of Texas at Austin , Austin, Texas 78758,

R

R. Lu

Department of Electrical and Computer Engineering, University of Texas at Austin , Austin, Texas 78758,