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Perfect soliton crystals in optical microresonators

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Publications associées (36)

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Dissipative Solitons and Switching Waves in Dispersion-Modulated Kerr Cavities

Tobias Kippenberg, Rui Ning Wang, Johann Emmeram Riemensberger, Miles Henry Anderson, Alexey Tikan, Aleksandr Tusnin, Alisa Davydova

We theoretically and experimentally investigate the formation of dissipative coherent structures in Kerr nonlinear optical microresonators, whose spectrum encompasses an integrated dispersion that exceeds the cavity free-spectral range. We are able to acce ...

American Physical Society2023

2.5D Topology Optimization to Design Overlapping Winding in Multi-Phase Coreless Electrical Machine

Yves Perriard, Adrien Jean-Michel Thabuis, Xiaotao Ren

Coreless electric motors are gaining interest from the community as they have a larger power-to-weight ratio and a larger efficiency. The absence of iron slots leaves the winding space unobstructed. This enables the geometry of the coils to be skewed to ov ...

IEEE2022

Design Ontology Supporting Model-Based Systems Engineering Formalisms

Dimitrios Kyritsis, Jinzhi Lu

Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalism of system architectures for supporting model-based requirement elicitation, specification, design, deve ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Multichannel Smart Slit Assembly For Spectroscopy Based On Arrays Of Variable Optical Mems Attenuators

Niels Quack, Anton Lagosh

We present design, fabrication and experimental characterization of a multichannel Smart Slit Assembly for next generation spectrometers, based on an array of 40 variable optical attenuators employing MEMS shutters integrated with large core multimode rect ...

IEEE2022

Ride-sharing with inflexible drivers in the Paris metropolitan area

Patrick Stefan Adriaan Stokkink

In ride-sharing, commuters with similar itineraries share a vehicle for their trip. Despite its clear benefits in terms of reduced congestion, ride-sharing is not yet widely accepted. We propose a specific ride-sharing variant, where drivers are completely ...

SPRINGER2022

Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype

Albéric Antoine Marie Louis Joseph Dufaure de Lajarte, Colin Neil Jones, Petr Listov, Roland Schwan

Recent advances in Model Predictive Control (MPC) algorithms and methodologies, combined with the surge of computational power of available embedded platforms, allows the use of real-time optimization-based control of fast mechatronic systems. This paper p ...

IEEE2022

Bacterial nanopores open the future of data storage

Aleksandra Radenovic, Matteo Dal Peraro, Chan Cao, Lucien Fabrice Krapp, Alissa Agerova

In the era of "big data" finding solutions for data storage alternative to those based on silicon or magnetic tapes is an urgent need for our society. The development of polymers that can store information at the molecular level has opened up new opportuni ...

IEEE2022

Role of Stress History on the Swelling-Shrinkage Behavior of Compacted Scaly Clay

Alessio Ferrari

Compacted scaly clays are complex geomaterials widely used for the realization of dam cores and waste dump liners. This research aims to investigate the swelling/shrinkage behavior of these geomaterials subjected in an oedometric cell to complex hydromecha ...

ASCE-AMER SOC CIVIL ENGINEERS2022

An element-based formulation for ES-FEM and FS-FEM models for implementation in standard solid mechanics finite element codes for 2D and 3D static analysis

Slah Drira

Edge-based and face-based smoothed finite element methods (ES-FEM and FS-FEM, respectively) are modified versions of the finite element method allowing to achieve more accurate results and to reduce sensitivity to mesh distortion, at least for linear eleme ...

Wiley2022

Dif-MAML: Decentralized Multi-Agent Meta-Learning

Ali H. Sayed, Stefan Vlaski, Mert Kayaalp

The objective of meta-learning is to exploit knowledge obtained from observed tasks to improve adaptation to unseen tasks. Meta-learners are able to generalize better when they are trained with a larger number of observed tasks and with a larger amount of ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Generalization of an Encoder-Decoder LSTM model for flood prediction in ungauged catchments

Olga Fink

Flood prediction in ungauged catchments is usually conducted by hydrological models that are parameterized based on nearby and similar gauged catchments. As an alternative to this process-based modelling, deep learning (DL) models have demonstrated their a ...

ELSEVIER2022

The applications of Internet of Things in the automotive industry: A review of the batteries, fuel cells, and engines

Jan Van Herle, Hossein Pourrahmani

The current advances in the integration of devices through the internet of things (IoT) have encouraged researchers to focus on the applications of IoT in the automotive industry. Although different achievements in the in-vehicle network analysis and traff ...

ELSEVIER2022

Influence of sustained loading on resistance and deformation capacity of reinforced concrete members in compression

Aurelio Muttoni, Miguel Fernández Ruiz, Xhemsi Malja

As acknowledged explicitly or implicitly in most of current design codes, a high level of sustained loading has a detrimental effect on the concrete compressive strength. However, its beneficial effect in terms of deformation capacity is neglected in most ...

ERNST & SOHN2022

Bona Fide Riesz Projections For Density Estimation

Michaël Unser, Pol del Aguila Pla

The projection of sample measurements onto a reconstruction space represented by a basis on a regular grid is a powerful and simple approach to estimate a probability density function. In this paper, we focus on Riesz bases and propose a projection operato ...

IEEE2022

Semantic Segmentation of Remote Sensing Images With Sparse Annotations

Devis Tuia

Training convolutional neural networks (CNNs) for very high-resolution images requires a large quantity of high-quality pixel-level annotations, which is extremely labor-intensive and time-consuming to produce. Moreover, professional photograph interpreter ...

2022

Strain effects on halide perovskite solar cells

Mohammad Khaja Nazeeruddin, Ulf Anders Hagfeldt, Bowen Yang, Hobeom Kim, Jiajia Suo

Halide perovskite solar cells (PSCs) have achieved power conversion efficiencies (PCEs) approaching 26%, however, the stability issue hinders their commercialization. Due to the soft ionic nature of perovskite materials, the strain effect on perovskite fil ...

Royal Society of Chemistry2022