A physics based machine learning model to characterize room temperature semiconductor detectors in 3D

Autor: Srutarshi Banerjee, Miesher Rodrigues, Manuel Ballester, Alexander H. Vija, Aggelos K. Katsaggelos

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

Abstract Room temperature semiconductor radiation detectors (RTSD) for X-ray and $$\gamma$$ γ -ray detection are vital tools for medical imaging, astrophysics and other applications. CdZnTe (CZT) has been the main RTSD for more than three decades wi

Externí odkaz: https://doaj.org/article/79569c84f1404224b9a716cef5684113

Identifying Defects without a priori Knowledge in a Room-Temperature Semiconductor Detector Using Physics Inspired Machine Learning Model

Autor: Srutarshi Banerjee, Miesher Rodrigues, Manuel Ballester, Alexander Hans Vija, Aggelos Katsaggelos

Publikováno v: Sensors, Vol 24, Iss 1, p 92 (2023)

Room-temperature semiconductor radiation detectors (RTSD) such as CdZnTe are popular in Computed Tomography (CT) imaging and other applications. Transport properties and material defects with respect to electron and hole transport often need to be ch

Externí odkaz: https://doaj.org/article/9feaefe8a9454594bab7165f662b1935

Metales orgánicos. Una perspectiva de nuevos materiales

Autor: Manuel Ballester

Publikováno v: Materiales de Construccion, Vol 35, Iss 199, Pp 5-12 (1985)

This work explains with comprehensive terms for non specialists what the Organic Metals are ("coductive plastics"). Those new materials will be in the near future a true revolution on several technology fields.

Externí odkaz: https://doaj.org/article/4cb6eb995dec4d70b949c566910d701f

Application of the Holomorphic Tauc-Lorentz-Urbach Function to Extract the Optical Constants of Amorphous Semiconductor Thin Films

Autor: Manuel Ballester, Marcos García, Almudena P. Márquez, Eduardo Blanco, Susana M. Fernández, Dorian Minkov, Aggelos K. Katsaggelos, Oliver Cossairt, Florian Willomitzer, Emilio Márquez

Publikováno v: Coatings; Volume 12; Issue 10; Pages: 1549

The Tauc–Lorentz–Urbach (TLU) dispersion model allows us to build a dielectric function from only a few parameters. However, this dielectric function is non-analytic and presents some mathematical drawbacks. As a consequence of this issue, the mo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6666bbf63712c6e7e52dbd130fac1cb

Optical Characterization of H-Free a-Si Layers Grown by rf-Magnetron Sputtering by Inverse Synthesis Using Matlab: Tauc–Lorentz–Urbach Parameterization

Autor: Elias Saugar, Juan José Ruiz-Pérez, Almudena P. Márquez, E. Márquez, Eduardo Blanco, Susana Maria Fernandez Ruano, Dorian Minkov, Manuel Ballester

Publikováno v: Coatings, Vol 11, Iss 1324, p 1324 (2021)
Coatings
Volume 11
Issue 11
Coatings 2021, 11(11), 1324
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
instname

Several, nearly-1-mu m-thick, pure, unhydrogenated amorphous-silicon (a-Si) thin layers were grown at high rates by non-equilibrium rf-magnetron Ar-plasma sputtering (RFMS) onto room-temperature low-cost glass substrates. A new approach is employed f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87db8f76af2d099e2eaf1d5e92887090
https://www.mdpi.com/2079-6412/11/11/1324