output
20172026
most citedRoom temperature operation of germanium-silicon single-photon avalanche diode

80 citations

13 papers

cs.CV2026

Artificial Intelligence as a Tool for Combating Child Labour: A Real-Time Edge Vision Pipeline for Child Detection and Age Estimation

Mark Nowak

An estimated 138 million children remain in child labour worldwide, and the monitoring systems used by affected sectors, built on periodic household visits and interviews, systemat…

physics.ins-det2026★ 1 cited

Review of germanium-silicon single-photon avalanche diodes

Neil Na, Erik Chen, Gerald S. Bullerb +2

While it took about a decade for a germanium (Ge) thin film grown on a silicon (Si) substrate to be successfully applied as a detector material for high-speed optical fiber communi…

astro-ph.GA2026

Turning JWST/MIRI backgrounds into a survey of diffuse molecular hydrogen

E. Nigou, B. Godard, P. Guillard +3

Context. A statistically significant sampling of H2 rotational excitation in the diffuse interstellar medium (ISM) is essential to identifying its excitation mechanisms and assessi…

astro-ph.GA2025★ 1 cited

Chemical complexity in star formation induced by stellar feedback: cores shock-formed by the supernova remnant W44

G. Cosentino, I. Jiménez-Serra, F. Fontani +8

Low-velocity shocks from Supernova Remnants (SNRs) may set the physical and chemical conditions of star formation in molecular clouds. Recent evidence suggests that the Sun might h…

cond-mat.mtrl-sci2025

Graphene assisted III-V epitaxy towards substrate recycling

Naomie Messudom, Antonella Cavanna, Ali Madouri +6

Re-using the substrate is identified as a method for reducing the cost of high efficiency III-V solar cells. The approach investigated here consists in inserting a graphene layer o…

astro-ph.GA2025

CO Depletion in Infrared Dark Clouds

G. Cosentino, J. C. Tan, C. Gainey +10

Infrared Dark Clouds (IRDCs) are cold, dense structures representative of the initial conditions of star formation. Many studies of IRDCs employ CO to investigate cloud dynamics. H…

physics.plasm-ph2025

Twisted magnetar magnetospheres: a class of semi-analytical force-free non-rotating solutions

Guillaume Voisin

Magnetospheric twists, that is magnetospheres with a toroidal component, are under scrutiny due to the key role the twist is believed to play in the behaviour of neutron stars. Not…

physics.ins-det2024★ 80 cited

Room temperature operation of germanium-silicon single-photon avalanche diode

Neil Na, Yen-Cheng Lu, Yu-Hsuan Liu +7

The ability to detect single photons has led to the advancement of numerous research fields. Although various types of single-photon detector have been developed, because of two ma…

cs.NE2023★ 71 cited

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing

Jens E. Pedersen, Steven Abreu, Matthias Jobst +12

Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine…

hep-ex2022

LUXE: A new experiment to study non-perturbative QED in electron-laser and photon-laser collisions

Aharon Levy

The LUXE experiment (Laser Und XFEL Experiment) is an experiment in planning at DESY Hamburg using the electron beam of the European XFEL (Eu.XFEL). LUXE is intended to study colli…

cs.CV2021★ 1 cited

Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning

Leon Amadeus Varga, Jan Makowski, Andreas Zell

We present a system to measure the ripeness of fruit with a hyperspectral camera and a suitable deep neural network architecture. This architecture did outperform competitive basel…

cond-mat.supr-con2021★ 13 cited

Scanning SQUID characterization of extremely overdoped

Chloe Herrera, Jacob Franklin, Ivan Božović +2

Recently, advances in film synthesis methods have enabled a study of extremely overdoped . This has revealed a surprising behavior of the superfluid density…

cs.GT2017

Together or Alone: The Price of Privacy in Collaborative Learning

Balazs Pejo, Qiang Tang, Gergely Biczok

Machine learning algorithms have reached mainstream status and are widely deployed in many applications. The accuracy of such algorithms depends significantly on the size of the un…