Electromagnetic Absorbing Materials Design by Optimization Using a Machine Learning Approach
Electromagnetic Absorbing Materials Design by Optimization Using a Machine Learning Approach is a scholarly work, published in 2024 in ''IEEE Transactions on Electromagnetic Compatibility''. The main subjects of the publication include radio-frequency identification, artificial intelligence, electromagnetic shielding, electronic engineering, reverberation room, artificial neural network, processability, mathematical optimization, biological function, set, machine learning, mechanical engineering, computer science, and computer engineering. One of the state-of-the-art strategies to decrease the isolation between sections of personal digital assistance devices, taking into account the unavoidable thermal, mechanical, weight, and manufacturability constraints is the proper introduction of electromagnetic (EM) absorbing materials.