Results 221 to 230 of about 1,860,493 (289)

Chemical AI in the Limelight: The Contribution of Photochromic Materials and Oscillatory Chemical Reactions

Advanced Optical Materials, EarlyView.
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

Exploring the Role of Artificial Intelligence in Precision Photonics: A Case Study on Deep Neural Network‐Based fs Laser Pulsed Parameter Estimation for MoOx Formation

Advanced Photonics Research, EarlyView.
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, Miroslava Cano‐Lara, Andres A. Garcia‐Granada, Andres Espinal, Marcos J. Villaseñor‐Aguilar, Leonardo Martinez‐Jimenez, Horacio Rostro‐Gonzalez   +6 more
wiley   +1 more source

Reading Yule in light of the history and present of macroevolution. [PDF]

Philos Trans R Soc Lond B Biol Sci
Pennell M, MacPherson A.
europepmc   +1 more source

Local Tuning of the Epsilon‐Near‐Zero Condition in Hybrid Silicon Waveguides Using Reactive Laser Annealing

Advanced Photonics Research, EarlyView.
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, Thomas M. Howe, Jorge Parra, Demosthenes C. Koutsogeorgis, James A. Hillier, Nikolaos Kalfagiannis, Pablo Sanchis   +6 more
wiley   +1 more source

Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancer. [PDF]

NPJ Syst Biol Appl
Li C, Wei Y, Lei J.
europepmc   +1 more source

Multiple Incoherent Deconvolutions for Improving the Image Resolution of Diffraction‐Limited Imaging Systems

Advanced Photonics Research, EarlyView.
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, Vijayakumar Anand, Joseph Rosen   +2 more
wiley   +1 more source

Translation regulation by RNA stem-loops can reduce gene expression noise. [PDF]

BMC Bioinformatics
Çelik C, Bokes P, Singh A.
europepmc   +1 more source

Analysis of Band Effects in One‐Dimensional Periodic Lattices Using an Enhanced Homogenization Method

Advanced Photonics Research, EarlyView.
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

The Reasonable Ineffectiveness of Mathematics in the Biological Sciences. [PDF]

Entropy (Basel)
Garte S, Marshall P, Kauffman S.
europepmc   +1 more source

Low‐Loss Parowax‐Imprinted Diffractive Neural Network for Orbital Angular Momentum Terahertz Holographic Imaging

Advanced Photonics Research, EarlyView.
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, Miguel A. Gomez, Steve Blair, Michael A. Scarpulla, Berardi Sensale‐Rodriguez   +4 more
wiley   +1 more source