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Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

Advanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park, Youngsun Jeon, Seokho Lee, Yeseul Kim, Junsuk Rho   +4 more
wiley   +1 more source

Dual-key slot mmwave antenna array with dual-band performance at 28 GHz and 38 GHz using characteristic mode analysis. [PDF]

Sci Rep
Kiani SH, Ibrahim MI, Shariff BGP, Khan MA, Mugheri AA, Ali T, Rafique U, Mostafa H, Dalarsson M.   +8 more
europepmc   +1 more source

Engineering rank queries on bit vectors and strings. [PDF]

Algorithms Mol Biol
Gottlieb SG, Reinert K.
europepmc   +1 more source

From Light to Energy: Machine Learning Algorithms for Position and Energy Deposition Estimation in Scintillator-SiPM Detectors. [PDF]

Sensors (Basel)
Simhony Y, Segal A, Amrani O, Etzion E.
europepmc   +1 more source

A Unifying Framework for Complex-Valued Eigenfunctions via The Cartan Embedding. [PDF]

J Geom Anal
Gudmundsson S, Lindström A.
europepmc   +1 more source

Lattice of $E$-compact topological spaces

, 1973
Jan Pelant
openalex   +1 more source

The principles behind equivariant neural networks for physics and chemistry. [PDF]

Proc Natl Acad Sci U S A
Kondor R.
europepmc   +1 more source