Buscador de Tesis y publicaciones académicas

Radio morphing: Fast computation of inclined air shower radio emission

Simon Chiche · Olivier Martineau-Huynh · Matias Tueros · Krijn D. de Vries

The preparation of the next-generation of large-scale radio experiments requires running a large number of simulations to explore multiple detector configurations over vast areas and develop novel methods for the reconstruction of air shower parameters. While Monte Carlo simulations are accurate and reliable tools, the...

XAS investigation of the Fe local atomic structure and reactivity in dense Fe-bearing silicate melts

Emanuele COLONNA · Nicolas SEVELIN-RADIGUET · François SOUBIRAN · Jean-Alexis HERNANDEZ · y 5 más

Terrestrial planets and exoplanets are thought to host deep magma oceans at least during their early accretion. The physical (e.g. density and transport properties) and chemical (e.g. redox state of Fe) properties of the dense Fe-bearing silicate melts which compose these magma oceans determine the subsequent evolution...

Tomography at cryo temperature

François CADIOU · Victor VANPEENE · Jaianth VIJAYAKUMAR

Carry out tomography at 300 K and at 77 K at the liquid nitrogen temperature

Internet gaming disorder risk in Brazil: Prevalence and associations with depressive and anxiety symptoms in a nationally representative survey

Daniel Tornaim Spritzer · Wagner de Lara Machado · Clarice Sandi Madruga · Ronaldo Ramos Laranjeira · y 5 más

Problematic gaming is recognized in both major diagnostic systems, as Internet Gaming Disorder (IGD) in the DSM-5 and Gaming Disorder in the ICD-11, yet no nationally representative prevalence data exist for Brazil.Data were drawn from a cross-sectional, nationally representative Brazilian household survey conducted in...

Synergetic capacity planning of private and public EV charging piles via city-scale multiobjective optimization

Hao, Yiwu · Yuan, Hong · Zhou, Nan · Ma, Minda

Rapid electric vehicle (EV) expansion necessitates optimized charging infrastructure to bridge the persistent gaps between vehicle growth and charger availability. This study develops a demand-driven framework for city-scale EV charging demand assessment and charging pile capacity planning. It employs a bottom-up estim...

Entropy analysis and entropy stable DG methods for the 1D shallow water moment equations

Julio Careaga · Patrick Ersing · Julian Koellermeier · Andrew R. Winters

We demonstrate that the one-dimensional shallow water moment equations satisfy an auxiliary entropy conservation law, where the entropy function corresponds to the total energy. Additionally, we show that the classical Newtonian slip friction and Manning friction terms are entropy dissipative with respect to the develo...

Measuring self-assembled micelle topologies of functionalised rylenes to build a predictive machine learning model

Oier BIKONDOA · Connor MACDONALD · Ziyao XU · Annela SEDDON · y 1 más

This project centres around the creation of machine learning models which will ultimately allow for the prediction of the morphology and ultimately the physical properties of self-assembled aggregates. Due to the mechanisms which lead to molecular self-assembly being poorly understood, the design of new materials for d...

Node placement approaches for wireless underground sensor network deployment

Edmond-Prosper Souapiebe · Damien Wohwe Sambo · Rémy Maxime Mbala · Paul Dayang · y 3 más

Wireless Underground Sensor Networks (WUSNs) are increasingly deployed in applications such as precision agriculture, where buried sensors collect soil and environmental data. However, underground communication faces strong constraints, including signal attenuation caused by soil moisture, burial depth, and the transmi...

Study of a potential anisotropic dopant diffusion induced by annealing in HgCdTe

Clément LOBRE · Philippe BALLET · Jean-Sebastien MICHA · Xavier BIQUARD

The ternary CdHgTe is the reference material for high-end applications like the next generation of state-of-the-art high-performance cooled infrared detectors for astrophysical applications. Current development focuses on mastering extrinsic p-type doping. Antimony is a good candidate to obtain the desired p-type behav...

A differentiable neural-field forward model for cosmic-ray muon scattering tomography

Pagano, D.