Results 111 to 120 of about 1,006,263 (269)
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
Ultrafast pulsed laser technology enables precise material processing. This study examines molybdenum oxide formation under varying laser parameters. A dataset of 187 samples is generated, and eight deep neural networks (DNNs) with different architectures are trained. Models are validated using three learning rates and evaluated with mean squared error,
Jose R. Paredes‐Miguel+6 more
wiley +1 more source
This work demonstrates the use of reactive laser annealing to selectively tune the epsilon‐near‐zero condition of tin‐doped indium oxide patches integrated in silicon waveguides. This postgrowth annealing technique enables flexible control over the optical constants of transparent conducting oxides (TCOs) at critical telecom wavelengths, paving the way
Juan Navarro‐Arenas+6 more
wiley +1 more source
Interaction spaces: towards a universal mathematical theory of complex systems [PDF]
We present the first steps of interaction spaces theory, a universal mathematical theory of complex systems which is able to embed cellular automata, agent based models, master equation based models, stochastic or deterministic, continuous or discrete dynamical systems, networked dynamical models, artificial neural networks and genetic algorithms in a ...
arxiv
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
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
Stimulated Raman Scattering with Optical Vortex Beams
This study presents exact analytical expressions for stimulated Raman scattering with Laguerre‐Gaussian beams, revealing signal dependence on topological and hyperbolic momentum. The results provide a theoretical foundation for coherent Raman imaging and detecting orbital angular momentum of light via structured light in nonlinear optics.
Minhaeng Cho
wiley +1 more source
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu+5 more
wiley +1 more source