Results 111 to 120 of about 1,420,545 (206)
Plasmonic and Photonic Modes in Colloidal CuS Nanocrystals
Copper sulfide in the covellite phase (CuS) can exhibit exceptional optoelectronic properties with plasmonic and photonic absorption in its monolithic nanomaterial form. In this work, the phenomenon of near‐infrared (NIR) to visible electromagnetic field localization in ultrathin crystalline quasi‐2D CuS nanocrystals is demonstrated by mapping ...
Kenan Elibol+9 more
wiley +1 more source
Predictive Design to Determine Optimal Absorber Placement in Colloidal Photonic Crystals
The inclusion of absorbing material is known to increase color saturation in photonic crystals. Predictive design based on mathematical structure optimization is used to identify optimal designs for the absorber amount and position within a photonic colloidal crystal and experimentally realized. This strategy shows that the placement of the absorber at
Gudrun Bleyer+5 more
wiley +1 more source
Unidirectional Focusing of Light Using Structured Diffractive Surfaces
This study presents a reciprocal diffractive unidirectional focusing design based on linear and isotropic layers. A set of cascaded diffractive layers is designed using deep learning to achieve efficient forward light focusing while suppressing backward propagation across various illumination angles.
Yuhang Li+4 more
wiley +1 more source
Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley +1 more source
Multiple incoherent nonlinear deconvolutions (MIND) has extended dimension for optimization that provides a better solution than Wiener deconvolution and nonlinear reconstruction. MIND minimizes deconvolution noise by averaging over multiple deconvolutions each with different system aperture that effectively enhances the resolution.
Jawahar Prabhakar Desai+2 more
wiley +1 more source
An enhanced homogenization method for periodic lattices, applicable to any asymmetrical multipart structures, is proposed. This method simplifies intricate gratings into slab waveguides, predicts guided‐mode resonances and bound states in the continuum, without relying on numerical methods.
Atefe Taheri, Mehrdad Shokooh‐Saremi
wiley +1 more source
Retracted: Considering Computational Mathematics IGHG3 as Malignant Melanoma Is Associated with Immune Infiltration of Malignant Melanoma. [PDF]
International BR.
europepmc +1 more source
This work introduces a low‐loss diffractive neural network, fabricated using an imprinting technique with parowax material, for recognizing and manipulating the topological charge of orbital angular momentum (OAM) waves. It is also demonstrated that the low‐loss diffractive network can perform mathematical operations based on the topological charges of
Wei Jia+4 more
wiley +1 more source
This study investigates the optoelectronic response of Al/p‐Si photodiodes with and without a (PVP:Gr‐ZnTiO3) interlayer under varying light intensities. Key parameters are analyzed, revealing that the interlayer enhances photosensitivity, optical responsivity, and specific detectivity.
Ali Barkhordari+5 more
wiley +1 more source
Digitized Phase‐Change Material Heterostack for Transmissive Diffractive Optical Neural Network
A phase‐change‐material‐based digitized heterostack is experimentally demonstrated and theoretically analyzed for future energy‐efficient, fast reconfigured, and compact transmissive diffractive optical neural networks. All‐optical and fully reconfigurable transmissive diffractive optical neural network (DONN) architectures emerge as high‐throughput ...
Ruiyang Chen+3 more
wiley +1 more source