Micro- and nanofabrication techniques for single crystal diamond photonics

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Current trends in artificial intelligence toward larger models demand a rethinking of both hardware and algorithms. Photonics-based systems offer high-speed, energy-efficient computing units, provided algorithms are designed to exploit photonics' unique st ...

Optical amplification, crucial for modern communication, primarily relies on erbium-doped fibre amplifiers (EDFAs)1,2. Yet, EDFAs only cover a portion of the low-loss spectrum of optical fibres. This has motivated the development of amplifiers operating be ...

Periodic structures in optics, like gratings or photonic crystals have played a pivotal role in both basic and applied research applications over the decades [1]. As far as, integrated photonics is concerned, another highly relevant optical structure, that ...

Floquet topological physics, an area exploring periodically driven systems and leveraging degrees of freedom in the temporal dimension, has opened new avenues in photonics by enabling the creation of novel topological phases, new control mechanisms, and in ...

Formation of laser-induced periodic surface structures (LIPSS) is known as a fast and robust method of functionalization of material surfaces. Of particular interest are LIPSS that manifest as periodic modulation of phase state of the material, as it impli ...

The hybrid integration of III-V gain media with low-loss photonic integrated circuits has advanced the performance of laser systems in terms of laser stability and coherence. The advent of lithium niobate on insulator (LNOI) photonics for self-injection lo ...

The selective and controlled formation of nanocrystals in glass is emerging as a versatile method to achieve functional photonics, optoelectronics, and quantum devices, such as single-photon emitters. Here, we investigate the use of wide-field polarimetric ...

The short de Broglie wavelength and strong interaction empower free electrons to probe structures and excitations in materials and biomolecules. Recently, electron-photon interactions have enabled new optical manipulation schemes for electron beams. In thi ...

Included in the dataset are detailed information into the crystallography, morphology, electronic properties, (photo)electrochemical and carrier dynamics of both single-crystal Cu2O thin films and polycrystalline Cu2O with favored crystal orientations. Mul ...

The local integration of III-Vs on Si is relevant for a wide range of applications in electronics and photonics, since it combines a mature and established materials platform with desired physical properties such as a direct and tuneable bandgap and high m ...

Dynamic human energy expenditure (EE) consists of energy costs for resting metabolism, food digestion, physical activity, and thermoregulation. Currently, multiple models predict EE mainly concerning physical activity, thus, discarding other factors contri ...

In this paper we study the problem of social learning under multiple true hypotheses and self-interested agents that exchange information over a graph. In this setup, each agent receives data that might be generated from a different hypothesis (or state) t ...

Micro- and nanofabrication techniques for single crystal diamond photonics

Chattez avec Graph Search

Resource-efficient photonic networks for next-generation AI computing

An ultra-broadband photonic-chip-based parametric amplifier

Power Control in Non-Hermitian Lattices Through Singular Value Decomposition

Floquet topological physics in photonics

Reversible Laser Imprinting of Phase Change Photonic Structures in Integrated Waveguides

Ultrafast Tunable Photonic Integrated E-DBR Pockels Laser

Wide-Field Polarimetric Second-Harmonic Imaging for Rapid and Nondestructive Investigation of Laser-Induced Crystallization Phenomena

Free-electron interaction with nonlinear optical states in microresonators

Research data supporting "High carrier mobility along the [111] orientation in Cu2O photoelectrodes"

Review: III-V infrared emitters on Si: fabrication concepts, device architectures and down-scaling with a focus on template-assisted selective epitaxy

Dynamic personalized human body energy expenditure: Prediction using time series forecasting LSTM models

Self-Aware Social Learning Over Graphs