This project aims to develop and validate innovative methods for the analysis and synthesis of intelligent surfaces and metamaterials, with special emphasis on electromagnetic and audio waves. The objectives of the project include the study of existing methods, the formulation of new solutions and the comparison in terms of performance. Special emphasis will be placed on the use of artificial intelligence in these highly innovative fields, including methods based on deep learning. Metamaterials are designed to manipulate electromagnetic waves, sound waves, or other physical phenomena in ways that traditional materials cannot achieve. The applications range from invisibility cloaks to advanced lensing systems, and they could be used in various industries, including telecommunications, optics, audio and medical imaging.

Electromagnetic analysis of intelligent surfaces and metasurfaces / Frezza, F.. - (2024). (Intervento presentato al convegno Workshop “Multiscale Modeling and Engineering Applications” tenutosi a Roma).

Electromagnetic analysis of intelligent surfaces and metasurfaces

F. Frezza
2024

Abstract

This project aims to develop and validate innovative methods for the analysis and synthesis of intelligent surfaces and metamaterials, with special emphasis on electromagnetic and audio waves. The objectives of the project include the study of existing methods, the formulation of new solutions and the comparison in terms of performance. Special emphasis will be placed on the use of artificial intelligence in these highly innovative fields, including methods based on deep learning. Metamaterials are designed to manipulate electromagnetic waves, sound waves, or other physical phenomena in ways that traditional materials cannot achieve. The applications range from invisibility cloaks to advanced lensing systems, and they could be used in various industries, including telecommunications, optics, audio and medical imaging.
2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1702864
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