PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 12, 2026APL Photonics0 citationsOpen Access

Electrode optimization for efficient resonant electro-optic frequency microcombs

View Full Paper
SHSamuel HäuslerAVAndrea VolpiniGFGiovanni Finco

Key Points

  • The aim is to optimize electrode configurations for efficient resonant electro-optic frequency microcombs.
  • Developed an analytical model to predict phase shifts in optical waves under various conditions.
  • Considered microwave losses, impedance and velocity mismatches, and different injection points.
  • Applied the model to determine optimal electrode lengths for different configurations at varying microwave frequencies.
  • Validated the model through experimental measurements of fabricated microring devices.
  • The model successfully predicts optimal electrode lengths for traveling-wave and standing-wave configurations.
  • Experimental results confirm the model's predictions, showing improved efficiency in electro-optic comb generation.

Abstract

Resonant electro-optic comb generation in thin-film lithium niobate microrings is a powerful method for achieving large-bandwidth electro-optic combs with a small footprint. While significant progress has been made in optimizing the optical resonator, the on-chip microwave waveguide has been less explored. Here, we develop a generic analytical model that predicts the phase shift acquired by the optical wave, taking into account possible microwave losses, impedance and velocity mismatches, and different injection points. We apply this model to determine the optimal electrode length for a traveling-wave configuration and two standing-wave configurations, with microwave driving frequencies at different multiples of the optical free spectral range. We experimentally validate the model by measuring several devices fabricated at the chip and wafer levels.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Häusler et al. (2026) studied this question.

synapsesocial.com/papers/69db37774fe01fead37c57edhttps://doi.org/10.1063/5.0312190
Ask AI
Helpful
Bookmark
Share
View Full Paper