Our new PNAS paper presents the observation of controlled standing wave patterns that can be used for precise distance measurements with nm-accuracy. PNAS 121 (10) e2313981121, arxiv.
Author: alekhya
Low loss silicon nitride photonics using room-temperature sputtering
Our paper on ultralow loss silicon nitride integrated photonics using room-temperature reactive sputtering was published in Laser & Photonics Reviews. Our study demonstrates the lowest propagation losses achieved with a low temperature deposition method. It is CMOS compatible and can be used for hybrid integration with other photonic and electronic processes. Laser & Photonics Review, 2300642 (2023).
Geometry optimization for dark soliton combs
Our new paper titled “Geometry optimization for dark soliton combs in thin multimode silicon nitride microresonators” was published in Optics Express, which provides insights into engineering a Si3N4 structure for optimal effective nonlinearity with a compact footprint. We experimentally demonstrate the low-noise dark pulses with a repetition rate of 25 GHz in a Si3N4 resonator. Read more: Optics Express 31, 41420-41427 (2023).
Cover article in Laser & Photonics Review
Our paper on quintic soliton paper has been selected as the cover article in laser & photonics review. Our study demonstrates the first observation of solitons induced by fifth-order dispersion. Read more: Laser Photonics Rev., 2300075 (2023).
Four-field symmetry breakings in photonic dimers
Our new paper on four-field symmetry breakings in photonic dimers has been published in Physical Review Research. This work demonstrates multi-level symmetry breakings, switching and chaos. Read more: Phys. Rev. Res. 5,L042012 (2023).
Quintic-dispersion Microresonator Solitons
Our new paper on quintic-dispersion microresonator solitons has been published in Laser & Photonics Review. Our study demonstrates the first observation of solitons induced by fifth-order dispersion. Read more: Laser Photonics Rev., 2300075 (2023).
Arghadeep wins best poster prize at MPSP springs school
Congratulations to Arghadeep Pal for winning the best poster award at the spring school-2023 organised by the Max Planck School of Photonics (MPSP). The poster describes Machine Learning assisted prediction of microresonator structure for desired dispersion profiles. Read more: Opt. Express 31, 8020-8028 (2023).
Machine Learning for Dispersion Engineering
We have used machine learning algorithms to predict structures of microresonators from dispersion profiles. This work lays the foundation of application of machine learning in inverse design of microring resonators.
https://doi.org/10.1364/OE.479899 – arXiv