Persona:
Cublier Martínez, Aymar

Dirección de correo electrónico

Fecha de nacimiento

Proyectos de investigación

Unidades organizativas

Unidad organizativa
Instituto Nacional de Técnica Aeroespacial
El Instituto Nacional de Técnica Aeroespacial es el Organismo Público de Investigación (OPI) dependiente del Ministerio de Defensa. Además de realizar actividades de investigación científica y de desarrollo de sistemas y prototipos en su ámbito de conocimiento, presta servicios tecnológicos a empresas, universidades e instituciones. El INTA está especializado en la investigación y el desarrollo tecnológico, de carácter dual, en los ámbitos de la Aeronáutica, Espacio, Hidrodinámica, Seguridad y Defensa.

Puesto de trabajo

Apellidos

Cublier Martínez

Nombre de pila

Aymar

Nombre

Resultados de la búsqueda

Mostrando 1 - 1 de 1
  • PublicaciónRestringido
    Machine Learning Methods Applied to Broadband Electromagnetic Characterization
    (2025-11) Cublier Martínez, Aymar; Frövel de la Torre, Jorge; Sanz, Ruy; Plaza Gallardo, Borja; Poyatos Martinez, David
    The introduction of composite materials in the aerospace industry has yielded improved performance and better strength-to-weight ratio in space platforms' design. The ubiquity of these materials in today's space missions involves, among other things, a deep understanding of their electromagnetic (EM) properties. To study the EM properties of dielectric materials, several machine learning algorithms such as Deep Neural Networks (DNN) and ensemble learning methods (Random Forest, Gradient Boosting) are implemented as extraction methods for EM characterization in free space. First, the training and testing datasets for the supervised learning algorithms are generated using EM simulations with given permittivity and loss tangent. Second, an existing high precision test bench is used at INTA's Computational and Applied Electromagnetics Laboratory (CAEM-Lab) for gathering data to feed the prediction models at the validation stage over a broad frequency range of 2.6−40GHz. Finally, results are contrasted with conventional methods for complex permittivity extraction, such as analytical based solutions and optimization related methods. Other features like temperature can be added to the models to study the EM properties of materials at cryogenic temperatures for space applications.