Results 11 to 20 of about 11,893 (132)

L'énergie solaire photovoltaïque

open access: yes, 2022
International audienceÀ chaque instant, la puissance solaire qui arrive sur la Terre représente plusieurs milliers de fois la consommation énergétique de l’humanité.
Suchet, Daniel, Johnson, E.V.
core   +9 more sources

Solaire photovoltaïque, où en sommes-nous ?

open access: yes, 2023
Conférence grand public à la Cité des Sciences:Où en est l’état de la recherche sur l'énergie solaire ? Où en sommes-nous face aux technologies photovoltaïques mises en place pour la transition énergétique ?Dimanche à 15h30 et 17hConférence-démonstration
Collin, Stéphane   +1 more
core   +8 more sources

Moteur photovoltaïque

open access: yes, 2017
International audienceSaurea propose un moteur à reluctance variable photovoltaïque de faible puissance, adapté aux étudiants, pour servir de support de cours aux énergies renouvelables et à la conversion d ...
Multon, Bernard   +4 more
core   +9 more sources

Contactless defects detection using modulated photoluminescence technique: model for a single Shockley-Read-Hall trap in a semiconductor thin layer

open access: yesEPJ Photovoltaics
Studying defects in semiconductors is, in practice, a very important topic for opto-electronic applications. It involves advanced characterization tools able to quantify and qualify the defect densities present in the materials. In the present article we
Bérenguier Baptiste   +5 more
doaj   +1 more source

The Need for Fundamental Photovoltaics Research to Ensure Energy Security

open access: yesProgress in Photovoltaics: Research and Applications, Volume 34, Issue 8, Page 1003-1009, August 2026.
The center of this graphic focuses on the core of this paper—that fundamental research is central to the continued development of the photovoltaic (PV) industry. To the left, we have depictions of what is being studied—PV materials, PV cell structures, and PV module structures.
Rebecca Saive   +14 more
wiley   +1 more source

Ab Initio Investigation of MgXe, Its Cation Mg+Xe and Clusters Mg+Xen: Electronic Structure, Spectroscopic Properties, and Temperature‐Dependent Absorption Spectra

open access: yesInternational Journal of Quantum Chemistry, Volume 126, Issue 13, July 5, 2026.
Accurate potential energy curves, spectroscopic constants, and transition dipole moments were determined for the Mg+Xe and MgXe complexes. Spin–orbit effects were explicitly included for the Mg+Xe ionic system. Monte Carlo simulations were employed to investigate Mg+Xen clusters, and the temperature dependence of their absorption spectra was analyzed ...
M. Bejaoui   +4 more
wiley   +1 more source

Influence of the Chemical Composition on the Perovskites Anharmonicity: Toward a Stable Inorganic Perovskite

open access: yesSolar RRL, Volume 10, Issue 6, 29 March 2026.
This study investigates the effect of the chemical composition on the properties of A(BB’)(XX’)3$_3$ inorganic halide perovskites with density functional theory. By correlating distortion amplitudes with both composition and the Goldschmidt tolerance factor, we propose a pragmatic approach to designing more stable and efficient perovskites, advancing ...
Antoine Gissler   +2 more
wiley   +1 more source

Simulation numérique du comportement thermique du capteur hybride solaire photovoltaïque thermique

open access: yesRevue des Énergies Renouvelables, 2008
Le capteur hybride photovoltaïque/thermique (PV/T) convertit l’énergie solaire en chaleur et en électricité. Les avantages de combiner un collecteur thermique et un module PV dans un seul capteur sont l’augmentation de l’efficacité totale de la ...
K. Touafek   +3 more
doaj  

Simulation-based insights into light soaking and light-induced degradation in perovskite solar cells

open access: yesEPJ Photovoltaics
Perovskite solar cells have achieved remarkable power conversion efficiencies, yet their long-term stability remains a critical challenge. Progress in understanding this issue can be supported by combining modelling and characterization of the ...
Álvarez Pérez Guillem   +4 more
doaj   +1 more source

Physics‐Based Machine Learning Electroluminescence Models for Fast yet Accurate Solar Cell Characterization

open access: yesProgress in Photovoltaics: Research and Applications, Volume 34, Issue 1, Page 116-131, January 2026.
Machine learning (ML) enables fast and reliable prediction of series resistance and dark saturation current maps from voltage‐dependent electroluminescence of silicon solar cells. Two ML algorithms, a multilayer perceptron (MLP) and a modified U‐NET (mU‐NET), are analyzed. They are compared to nonlinear least squares fitting to assess their performance.
Erell Laot   +3 more
wiley   +1 more source

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