Publications related to Integration of MEMS in Silicon Photonics

Related publications (46)

Thermo-optic epsilon-near-zero effects

Camille Sophie Brès, Marco Clementi, Jiaye Wu

Nonlinear epsilon-near-zero (ENZ) nanodevices featuring vanishing permittivity and CMOS-compatibility are attractive solutions for large-scale-integrated systems-on-chips. Such confined systems with unavoidable heat generation impose critical challenges fo ...

Nature Portfolio2024

On the influence of the buffer layer on the optical quality of AlN-on-sapphire epilayers for photonic integrated devices

Nicolas Grandjean, Camille Sophie Brès, Jean-François Carlin, Raphaël Butté, Samantha Sbarra, Samuele Brunetta

In the last decade, aluminum nitride (AlN) has proven to be an attractive material for both linear and nonlinear integrated photonics, due to its large transparency window, its low propagation losses and the presence of both second- and third-order nonline ...

SPIE2025

2D Molybdenum Disulfide Embedded Photonic Crystal Fiber for all‐Fiber Phase Retarder

Xu Cheng

The integration of 2D materials with optical fibers enables multifunctional fiber devices, such as polarizers, modulators, and sensors. Recent advances in direct vapor deposition growth further enhance light‐2D material interactions to centimeter‐scale len ...

Wiley2025

Parametric Wavelength Conversion in Waveguiding Structures: Efficiency, Bandwidth and Polarization

Arman Ayan

Photonics integrated circuits are a promising solution for the growing demands of data transmission and future system-on-chip technologies. Within this context, nonlinear optical interactions offer unique opportunities for all-optical processing, sampling, ...

EPFL2024

Topological Effects in Wave Scattering and Metamaterials

Haoye Qin

Advanced wave engineering demands robust, efficient, and new-degree-of-freedom manipulations in wave intrinsic properties like amplitude, phase, polarization, and even spatial structure. To tackle this, this thesis advances photonic wave manipulation by sy ...

EPFL2025

Lithium tantalate photonic integrated circuits for volume manufacturing

Tobias Kippenberg, Johann Emmeram Riemensberger, Mikhail Churaev, Xinru Ji, Zihan Li, Terence Albert Emile Blésin, Chengli Wang, Junyin Zhang, Xi Wang, Chen Yang, Wil Kao, Alisa Davydova

Electro-optical photonic integrated circuits (PICs) based on lithium niobate (LiNbO3) have demonstrated the vast capabilities of materials with a high Pockels coefficient1,2. They enable linear and high-speed modulators operating at complementary metal–oxi ...

2024

Advanced Silicon and SWIR Single-Photon Avalanche Diodes: Design, Simulation, and Characterization

Ekin Kizilkan

Low-level light detection with high spatial and timing accuracy is a growing area of interest by virtue of applications such as light detection and ranging (LiDAR), biomedical imaging, time-resolved Raman spectroscopy, and quantum applications. Single-phot ...

EPFL2024

Multi-octave bandwidth supercontinuum generation in crystalline Aluminum Nitride-on-sapphire waveguides

Nicolas Grandjean, Camille Sophie Brès, Jean-François Carlin, Raphaël Butté, Samantha Sbarra, Samuele Brunetta

Applications such as optical clocks, gas spectroscopy, and optical coherent tomography stand to benefit significantly from the integration of on-chip supercontinuum sources. Materials exhibiting both second- and third-order nonlinearities are particularly ...

International Society for Optical Engineering2025

Generation of entangled photon pairs from a silicon bichromatic photonic crystal cavity

Matteo Galli, Marco Clementi

Integrated quantum photonics leverages the on-chip generation of nonclassical states of light to realize key functionalities of quantum devices. Typically, the generation of such nonclassical states relies on whispering gallery mode resonators, such as int ...

Aip Publishing2024

Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformations

Giuseppe Carleo, Jannes Willy E. Nys, Imelda Romero

Neural networks have shown to be a powerful tool to represent the ground state of quantum many-body systems, including fermionic systems. However, efficiently integrating lattice symmetries into neural representations remains a significant challenge. In th ...

NATURE PORTFOLIO2025

Learning to Reason with Neural Networks: Principles and Methods

Aryo Lotfi Jandaghi

This thesis focuses on understanding and improving the reasoning capabilities of neural networks. It develops theoretical results and empirical analyses to uncover reasoning potential and limitations, leveraging these insights to guide the design of improv ...

EPFL2025

Towards Scalable Electronics: Synthetic 2D Materials for Large-Area 2D Circuit Integration

Zhenyu Wang

In the past decades, a significant increase of the transistor density on a chip has led to exponential growth in computational power driven by Moore's law. To overcome the bottleneck of traditional von-Neumann architecture in computational efficiency, effo ...

EPFL2024

Coherent Dissipative Structures in Arbitrary Dispersion-Engineered Gallium Phosphide Fabry-Perot Resonators

Tobias Kippenberg, Nikolai Kuznetsov, Alisa Davydova, Andrey Gelash

The diversity of experimentally observed nonlinear coherent and partially coherent optical structures, including breathing, zero-dispersion, and switching wave states in driven optical microresonators, is mainly provided by cavity dispersion engineering. R ...

IEEE2025

Single-Mode Laser in the Telecom Range by Deterministic Amplification of the Topological Interface Mode

Kirsten Emilie Moselund

Photonic integrated circuits are paving the way for novel on-chip functionalities with diverse applications in communication, computing, and beyond. The integration of on-chip light sources, especially single-mode lasers, is crucial for advancing those pho ...

Amer Chemical Soc2024

A comparative analysis of gene expression profiling by statistical and machine learning approaches

Anaïs Betsabeh Haget, Maria Boulougouri

Motivation Many machine learning (ML) models developed to classify phenotype from gene expression data provide interpretations for their decisions, with the aim of understanding biological processes. For many models, including neural networks, interpretati ...

OXFORD UNIV PRESS2025

All-Dielectric Nanophotonic via Glass Fluid Instabilities

Pierre-Luc Eloi Piveteau

In this thesis work, we propose to exploit an innovative micro/nano-fabrication process, based on controlled fluid instabilities of a thin viscous film of chalcogenide glass. Amorphous selenium and arsenic triselenide were used in this thesis work, and com ...

EPFL2024

On the Perspectives of Image-to-Lidar Constraints in Dynamic Network Optimisation

Thibaut Stoltz, Jan Skaloud, Davide Antonio Cucci, Laurent Valentin Jospin, Kyriaki Mouzakidou

The evolution of airborne mapping witnesses the introduction of hybrid lidar-camera systems to enhance data collection, i.e. to obtain simultaneously high-density point-cloud and texture. Yet, the common adjustment of both optical data streams is a nontriv ...

International Society for Photogrammetry and Remote Sensing2025

2025 roadmap on 3D nanomagnetism

Dirk Grundler

The transition from planar to three-dimensional (3D) magnetic nanostructures represents a significant advancement in both fundamental research and practical applications, offering vast potential for next-generation technologies like ultrahigh-density stora ...

IOP Publishing Ltd2025

Silicon nitride electric-field poled microresonator modulator

Camille Sophie Brès, Edgars Nitiss, Boris Zabelich, Anton Stroganov, Christian André Clément Lafforgue

Stoichiometric silicon nitride is a highly regarded platform for its favorable attributes, such as low propagation loss and compatibility with complementary metal-oxide-semiconductor technology, making it a prominent choice for various linear and nonlinear ...

2024

Strain-only distributed optical fiber sensing with no intrinsic temperature sensitivity

Luc Thévenaz, Yuting Yang

We report a novel approach to distributed optical fiber sensing that achieves strain-only measurement with no intrinsic temperature cross-sensitivity. This is accomplished by filling the microstructured cladding of a photonic crystal fiber with a simple ga ...

SPIE2025