Relative Permittivity

Relative permittivity, a material's ability to store electrical energy, is crucial for understanding and manipulating electromagnetic fields in various applications. Current research focuses on accurately determining relative permittivity through advanced imaging techniques, employing methods like implicit representations in inverse scattering problems and deep learning architectures, including physics-informed neural networks and generative models, to improve reconstruction accuracy and resolution, even at the microscale. These advancements are driving progress in diverse fields, from materials science (designing novel dielectrics) to biomedical imaging (characterizing tissue properties for diagnostics and therapy).