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Ingeniería de permitividad basada en redes neuronales de absorbedores magnéticos para absorción de microondas

Chenxi Liu¹, Jinzhe Li², Sen Li³

¹Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

|January 23, 2026

Resumen

Este estudio presenta un método impulsado por IA para diseñar absorbedores de microondas avanzados. Logra materiales ultradelgados y de alto rendimiento con excelente ancho de banda y durabilidad para aplicaciones de sigilo electromagnético.

Área de la Ciencia:

Ciencia de los materiales
Electromagnetismo
Inteligencia artificial

Sus antecedentes:

El desarrollo de absorbedores de microondas de alto rendimiento con perfiles ultradelgados y ancho de banda sintonizable es un desafío para el sigilo electromagnético.
Los métodos tradicionales de diseño de absorbedores, especialmente para absorbedores magnéticos, a menudo implican una ineficiente prueba y error debido a la permitividad y permeabilidad acopladas.

Objetivo del estudio:

Desarrollar una estrategia basada en redes neuronales para la ingeniería de permitividad en absorbedores de microondas.
Desacoplar parámetros electromagnéticos interdependientes utilizando un novedoso paradigma de «bloqueo de permeabilidad-optimización de permitividad».
Permitir el diseño inverso y la síntesis guiada de materiales avanzados de absorción de microondas.

Principales métodos:

Se construyó un espacio de características de permitividad de alto rendimiento utilizando cálculos de teoría electromagnética basados en tensores.
Se implementó una estrategia de selección de doble tarea para identificar condiciones de absorción óptimas.
Se utilizó un marco guiado por IA para el diseño inverso y la síntesis de materiales.

Principales resultados:

Se sintetizaron con éxito compuestos de carbonilo de hierro/titanato de bario en forma de escamas.
Se logró un ancho de banda de absorción efectivo de 5,1 GHz a un grosor ultradelgado de 1,0 mm.
Se demostró una pérdida de reflexión óptima de -45,12 dB a 1,9 mm y una mayor resistencia a la corrosión debido a una capa superficial protectora de Si─O─Si.

Conclusiones:

Se estableció un paradigma guiado por IA que une la teoría electromagnética y el diseño de materiales para un desarrollo acelerado.
El marco desarrollado ofrece una plataforma robusta y generalizable para el diseño avanzado de absorbedores de microondas.
El material sintetizado exhibe un rendimiento y durabilidad excelentes para aplicaciones prácticas.

Palabras clave:

compuestos magnéticos absorción de microondas red neuronal permitividad absorbedor ultradelgado

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