Publications associées à Emergent coherent modes in nonlinear magnonic waveguides detected at ultrahigh frequency resolution

Publications associées (16)

Single-Chip for Terahertz Emission and Detection on Thin-Film Lithium Niobate Platform

Ileana-Cristina Benea-Chelmus, Alessandro Tomasino, Xuhui Cao

The terahertz (THz) frequency region (0.1-10 THz) between microwaves and infrared, holds significant potential across various fields such as communication, sensing, and spectroscopy. Conventional THz systems for broadband emission and detection remain bulk ...

IEEE2025

Superconducting microwave oscillators as detectors for ESR spectroscopy

Nicola Brusadin, Jürgen Brugger, Giovanni Boero, Yu Rao, Reza Farsi, Hernán Furci, Roberto Russo, André Chatel

Microwave superconducting resonators are extensively studied in fields such as quantum computing and electron spin resonance (ESR) spectroscopy. However, the integration of superconducting resonators with feedback mechanisms to create ultra-low noise oscil ...

2025

Deep Architectural Form

Frederick Chando Kim

With recent innovations in artificial intelligence (AI), machines can now recognize architectural patterns and generate new forms in ways that far exceed human capacity. The integration of machines in the design process has ushered in a substantial shift i ...

EPFL2024

Learning Motion Reconstruction from Demonstration via Multi-Modal Soft Tactile Sensing

Josephine Anna Eleanor Hughes, Kai Christian Junge, Kieran Daniel Gilday, Cheng Pan

Learning manipulation from demonstration is a key way for humans to teach complex tasks. However, this domain mainly focuses on kinetic teaching, and does not consider imitation of interaction forces which is essential for more contact rich tasks. We propo ...

Institute of Electrical and Electronics Engineers Inc.2024

Explainability as fig leaf? An exploration of experts’ ethical expectations towards machine learning in psychiatry

Georg Michael Joachim Starke

The increasing implementation of programs supported by machine learning in medical contexts will affect psychiatry. It is crucial to accompany this development with careful ethical considerations informed by empirical research involving experts from the fi ...

2023

A benchmark dataset for machine learning in ecotoxicology

Kristin Schirmer, Fernando Perez Cruz

The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, ...

Nature Portfolio2023

Perspective Aware Road Obstacle Detection

Pascal Fua, Mathieu Salzmann, Sina Honari, Krzysztof Maciej Lis

While road obstacle detection techniques have become increasingly effective, they typically ignore the fact that, in practice, the apparent size of the obstacles decreases as their distance to the vehicle increases. In this letter, we account for this by c ...

2023

From 3D to 2D and back again

Demetri Psaltis, Christophe Moser, Jorge Andres Madrid Wolff, Niyazi Ulas Dinç, Antoine Vincent Boniface, Carlo Gigli, Amirhossein Saba Shirvan

The prospect of massive parallelism of optics enabling fast and low energy cost operations is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations have a high potential for scalability. Since the technology for data inpu ...

WALTER DE GRUYTER GMBH2023

Interpretable Representation Learning and Evaluation for Abstractive Summarization

Andreas Thomas Marfurt

Abstractive summarization has seen big improvements in recent years, mostly due to advances in neural language modeling, language model pretraining, and scaling models and datasets. While large language models generate summaries that are fluent, coherent, ...

EPFL2023

Polariton lasing in AlGaN microring with GaN/AlGaN quantum wells

Nicolas Grandjean, Jean-François Carlin, Raphaël Butté

Microcavity polaritons are strongly interacting hybrid light-matter quasiparticles, which are promising for the development of novel light sources and active photonic devices. Here, we report polariton lasing in the UV spectral range in microring resonator ...

AIP Publishing2023

Measurement in the Age of Information

Marilyne Andersen, Forrest Simon Webler

Information is the resolution of uncertainty and manifests itself as patterns. Although complex, most observable phenomena are not random and instead are associated with deterministic, chaotic systems. The underlying patterns and symmetries expressed from ...

2022

Learning to image and compute with multimode optical fibers

Demetri Psaltis, Christophe Moser, Babak Rahmani, Ugur Tegin, Ilker Oguz, Jih-Liang Hsieh

Multimode fibers (MMF) were initially developed to transmit digital information encoded in the time domain. There were few attempts in the late 60s and 70s to transmit analog images through MMF. With the availability of digital spatial modulators, practica ...

WALTER DE GRUYTER GMBH2022

Probing material absorption and optical nonlinearity of integrated photonic materials

Tobias Kippenberg, Junqiu Liu, Guanhao Huang

Optical microresonators with high quality (Q) factors are essential to a wide range of integrated photonic devices. Steady efforts have been directed towards increasing microresonator Q factors across a variety of platforms. With success in reducing microf ...

Nature Portfolio2022

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data

Corinne Louise Jones

We present a discriminative clustering approach in which the feature representation can be learned from data and moreover leverage labeled data. Representation learning can give a similarity-based clustering method the ability to automatically adapt to an ...

2022

Phonon-Assisted Luminescence in Defect Centers from Many-Body Perturbation Theory

Nicola Marzari, Francesco Libbi

Phonon-assisted luminescence is a key property of defect centers in semiconductors, and can be measured to perform the readout of the information stored in a quantum bit, or to detect temperature variations. The investigation of phonon-assisted luminescenc ...

AMER PHYSICAL SOC2022

In vivo magnetic resonance P-31-Spectral Analysis With Neural Networks: 31P-SPAWNN

Lijing Xin, François Lazeyras, Sébastien Courvoisier

Purpose: We have introduced an artificial intelligence framework, 31P-SPAWNN, in order to fully analyze phosphorus-31 (P-31) magnetic resonance spectra. The flexibility and speed of the technique rival traditional least-square fitting methods, with the per ...

WILEY2022