Sfoglia per Autore
Physics-Informed Neural Networks for Inverse Electromagnetic Problems
2023-01-01 Baldan, M.; Di Barba, P.; Lowther, D. A.
Neural metamodels and transfer learning for induction heating processes (TEAM 36 problem)
2023-01-01 Di Barba, P.; Dughiero, F.; Forzan, M.; Lowther, D. A.; Marconi, A.; Mognaschi, M. E.; Sykulski, J. K.
Eye Shielding against Electromagnetic Radiation: Optimal Design Using a Reduced Model of the Head
2023-01-01 Kawecki, J.; Januszkiewicz, L.; Di Barba, P.; Kropidlowski, K.
A Deep Learning Approach to Improve the Control of Dynamic Wireless Power Transfer Systems
2023-01-01 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
Finite Element Evaluation of the Electric Field Distribution in a Non-Homogeneous Environment
2023-01-01 Sieni, E.; Dettin, M.; Zamuner, A.; Conconi, M. T.; Bazzolo, B.; Balducci, C.; Di Barba, P.; Forzan, M.; Lamberti, P.; Mognaschi, M. E.
A Numerical Twin Model for the Coupled Field Analysis of TEAM Workshop Problem 36
2023-01-01 Di Barba, P.; Mognaschi, M. E.; Cavazzini, A. M.; Ciofani, M.; Dughiero, F.; Forzan, M.; Lazzarin, M.; Marconi, A.; Lowther, D. A.; Sykulski, J. K.
Electromagnetic Wave Absorption in the Human Head: A Virtual Sensor Based on a Deep-Learning Model
2023-01-01 Di Barba, P.; Januszkiewicz, L.; Kawecki, J.; Mognaschi, M. E.
Electromagnetic Field Reconstruction and Source Identification Using Conditional Variational Autoencoder and CNN
2023-01-01 Barmada, S.; Di Barba, P.; Fontana, N.; Mognaschi, M. E.; Tucci, M.
Learning-Based Approaches to Current Identification from Magnetic Sensors
2023-01-01 Barmada, S.; Di Barba, P.; Formisano, A.; Mognaschi, M. E.; Tucci, M.
Deformable MEMS with Fringing Field: Models, Uniqueness Conditions and Membrane Profile Recovering
2022-01-01 Versaci, M.; Di Barba, P.
Finite Differences for Recovering the Plate Profile in Electrostatic MEMS with Fringing Field
2022-01-01 Versaci, M.; Fattorusso, L.; Jannelli, A.; Di Barba, P.
Electrostatic-elastic MEMS with fringing field: A problem of global existence
2022-01-01 Di Barba, P.; Fattorusso, L.; Versaci, M.
Future Trends in Optimal Design in Electromagnetics
2022-01-01 Di Barba, P.
Discovering Pareto-Optimal Magnetic-Design Solutions via a Generative Adversarial Network
2022-01-01 Baldan, M.; Di Barba, P.
Solution Properties of a New Dynamic Model for MEMS with Parallel Plates in the Presence of Fringing Field
2022-01-01 Di Barba, P.; Fattorusso, L.; Versaci, M.
Virtual Element Method and Optimal Shape Design in Magnetics
2022-01-01 Dassi, F.; Di Barba, P.; Russo, A.
Cost-effective optimal synthesis of the efficiency map of permanent magnet synchronous motors
2022-01-01 Di Barba, P.; Mognaschi, M. E.; Petkovska, L.; Cvetkovski, G.
Convolutional neural networks for the shape design of a magnetic core for material testing: Forward and inverse approaches
2022-01-01 Di Barba, P.; Mognaschi, M. E.; Sieni, E.; Ziolkowski, M.
Synthesis of WPTS compensation networks considering multiple criteria
2022-01-01 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
Multiobjective optimization of compensation networks for wireless power transfer systems
2022-01-01 Bertoluzzo, M.; Di Barba, P.; Forzan, M.; Mognaschi, M. E.; Sieni, E.
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