Libri e Monografie

1.  A. Bile, Reti Neurali Solitoniche: Un Innovativo Network Neurale Fotonico Basato su Interconnessioni Solitoniche, Springer (2024). ISBN-10: 3031613406, ISBN-13: 978-3031613401. https://doi.org/10.1007/978-3-031-61341-8

   1. Chapter 1 DOI: https://doi.org/10.1007/978-3-031-61341-8_1

   2. Chapter 2 DOI: https://doi.org/10.1007/978-3-031-61341-8_2

   3. Chapter 3 DOI: https://doi.org/10.1007/978-3-031-61341-8_3

   4. Chapter 4 DOI: https://doi.org/10.1007/978-3-031-61341-8_4

   5. Chapter 5 DOI: https://doi.org/10.1007/978-3-031-61341-8_5

2. A. Bile, Solitonic Neural Networks: An Innovative Photonic Neural Network Based on Solitonic Interconnections. In (Ed.), AI in Materials – Springer. ISBN-10: 3031486544. ISBN-13: 978-3031486548. https://doi.org/10.1007/978-3-031-48655-5

Chapter 1 DOI: https://doi.org/10.1007/978-3-031-48655-5_1

Chapter 2 DOI: https://doi.org/10.1007/978-3-031-48655-5_2

Chapter 3 DOI: https://doi.org/10.1007/978-3-031-48655-5_3

Chapter 4 DOI: https://doi.org/10.1007/978-3-031-48655-5_4

Chapter 5 DOI: https://doi.org/10.1007/978-3-031-48655-5_5

Capitoli di Libri:

E. Fazio, A. Bile, H. Tari (2022). Optical Soliton Neural Networks. In (Ed.), Artificial Neural Networks – Recent Advances, New Perspectives and Applications. IntechOpen. https://doi.org/10.5772/intechopen.107927

Riviste Scientifiche:

1. V.R. Ireddy, I. Chiarotto, D. Ceneda, A. Bile, M. Centini, M.C. Larciprete, Assessing Radiative Cooling Potential of Polymeric Films: a Quality Factor for Energy Efficient Materials, Optical Materials, 2024, 116615, ISSN 0925-3467, https://doi.org/10.1016/j.optmat.2024.116615. Number of Citations:

2. A. Bile, D. Ceneda, S.M. Vaghefi Esfidani, D. Sciré, M. Mosca, D. P. Adorno, R. Macaluso, R. Li Voti, C. Sibilia, T. G. Folland,  M. Centini, M.C. Larcirpete, Room-Temperature of Mid-Infrared Optical Phonons and Plasmons in W-doped VO2 thin films,  Optical Materials, 2024, 115732, https://doi.org/10.1016/j.optmat.2024.115732.

3. A. Bile, H. Tari, R. Pepino, A. Nabizada, E. Fazio, Photorefraction Simulates Well the Plasticity of Neural Synaptic Connections. Biomimetics 2024, 9, 231. https://doi.org/10.3390/biomimetics9040231.

4. A. Bile, R. Santoboni, S. Frasca, P. Astone,  Gravitational Music: a mathematical-model for the popularization of gravitational waves, Physics Education 2024, 59, 6, https://doi.org/10.1088/1361-6552/ad7347.

5. A. Bile, M. Centini, D. Ceneda, A. Passaseo, V. Tasco, C. Sibilia and M.C. Larcirpete, Tuning the Berreman mod of GaN/AlxGa1-xN heterostructures on sapphire: the role of the 2D-electron gas in the mid-infrared, Optical Materials, 2023, https://doi.org/10.1016/j.optmat.2023.114708.

6. A. Nabizada, H. Tari, A. Bile, E. Fazio, Novel Highly Efficient Buried Gratings for Selective Coupling of SPP Waves onto Single Interfaces. Nanomaterials 2024, 14, 878. https://doi.org/10.3390/nano14100878

7. H. Tari, A. Bile, A. Nabizada, E. Fazio, "Immobilization of photorefractive solitons by charge anchoring on conductive walls," Opt. Lett. 48, 6508 (2023), https://doi.org/10.1364/OL.506249

8. H. Tari, A. Bile, A. Nabizade, M. Iodice and E. Fazio, Addressable hybrid Plasmonic-Solitonic intercconection, Opt. Express, (2023), https://doi.org/10.1364/OE.489886.

9. A. Bile, G. Bile, R. Pepino, H. Tari, Innovative and non-invasive method for the diagnosis of dyschromatopsia and the re-education of the eyes, Res. Biomed. Eng (2023). https://doi.org/10.1007/s42600-023-00263-1.

10. F. Frasca, E. Verticchio, A. Peiró-Vitoria, A. Grinde, A. Bile, C. Chimenti, C. Conati Barbaro, G. Favero, E. Fazio, F. Garcia-Diego, A.M. Siani, Strategies for the use of microclimate sensors in spaces housing collections, Heritage Science (2022), Herit Sci 10, 200 (2022). https://doi.org/10.1186/s40494-022-00831-1.

11. A. Bile, H. Tari, A. Grinde, F. Frasca, A.M Siani, E. Fazio, Novel model based on artificial neural networks to predict short-term temperature evolution in museum enviroment, Sensors 22, 615 (2022) https://doi.org/10.3390/s22020615.

12. A. Bile, M. Chauvet, H. Tari and E. Fazio Supervised Learning of soliton X-junctions in Lithium Niobate films On Insulator, Optics Letters 47, 21 (2022), https://doi.org/10.1364/OL.468997.

13. A. Bile, H. Tari, E. Fazio, Episodic Memory and Information Recognition Using Solitonic Neural Networks Based on Photorefractive Plasticity. Appl. Sci. 2022, 12, 5585, https: // doi.org/10.3390/app12115585.

14. H. Tari, A. Bile, F. Moratti, E. Fazio, Neuromorphic activation function for Surface Plasmon Polariton integrated circuits, Plasmonics (2022) https://doi.org/10.1007/s11468-021-01553-z.

15. B. Ianero, A. Bile, M. Alonzo, E. Fazio, Stigmergic electronic gates and networks, in press on J. Computational Electronics 20, 2614–2621 (2021), https://doi.org/10.1007/s10825-021-01799-0.

16. A. Bile, F. Moratti, H. Tari, E. Fazio, Supervised and unsupervised learning using a fully-plastic all-optical unit of artificial intelligence based on solitonic waveguides, Neural Comput. & Applic. (2021). https://doi.org/10.1007/s00521-021-06299-7

17. A. Bile, Development of intellectual and scientific abilities through game- programming in Minecraft. Educ Inf Technol (2022). https://doi.org/10.1007/s10639-022-10894-z.

18. A. Bile, R. Pepino, E. Fazio, Study of magnetic switch for surface plasmon-polariton circuits, AIP Advances 11, 045222 (2021), https://doi.org/10.1063/5.0040674.

19.  F. Camponeschi, A. Bile, H. Tari, E. Fazio, Plasmonic-Solitonic coupling structure, Int. J. Sci. Eng. Appl. Sci. 7 (3), 162-167 (2021)

20. M. Reza Majidi, H. Tari, A. Bile, E. Fazio, Development of sol-gel based carbon ceramic electrode modified by graphene oxide - polypyrrole nanocomposite for simultaneous determination of uric acid and dopamine in presence of ascorbic acid, Int. J. Sci. Eng. Appl. Sci. 7 (3), 162-167 (2021).

Abstracts nelle riviste di Conferenze:

1)   A. Bile, H. Tari, R. Pepino, A. Nabizada and E. Fazio, Solitonic Neural Network: A novel approach of photonic Artificial Intelligence based on photorefractive solitonic waveguides, EPJ Web Conf, Volume 287 (2023), EOS Annual Meeting (EOSAM 2023), https://doi.org/10.1051/epjconf/202328713003

2)   A. Bile, M. Centini, D. Ceneda, A. Passaseo, D.M. Tobaldi, V. Tasco, C. Sibilia and M.C. Larcirpete, Tuning mid-infrared polarization sensitive reflectivity in GaN/AlGaN heterostructures,  EPJ Web Conf, Volume 287 (2023), EOS Annual Meeting (EOSAM 2023), https://doi.org/10.1051/epjconf/202328714002

3)   H. Tari, A. Bile, A. Nabizada, R. Pepino and E. Fazio, Realization of tunable ultrabroadband interconnection for solitonic-plasmonic synapsis by exploiting epsilon near zero conducting oxides, EPJ Web Conf, Volume 287 (2023), EOS Annual Meeting (EOSAM 2023), https://doi.org/10.1051/epjconf/202328713021