Results 91 to 100 of about 796,344 (261)

Digitized Phase‐Change Material Heterostack for Transmissive Diffractive Optical Neural Network

open access: yesAdvanced Photonics Research, EarlyView.
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

Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning

open access: yesAdvanced Photonics Research, EarlyView.
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

Tuning Surface Phonon Polaritons in One‐Dimensional Complementary Nanostructures via Curvature and Dielectric

open access: yesAdvanced Photonics Research, EarlyView.
Curvature and dielectric is introduced to tune properties of surface phonon polaritons (SPhPs) in complementary nanostructures: nanowire (NW) and nanohole (NH). It is found that NH complements the frequency band range of SPhP of NW. Frequency‐band subinterval of the SPhP in NHs and NWs can be tuned by dielectric.
Li Zhang   +5 more
wiley   +1 more source

An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques

open access: yesAdvanced Theory and Simulations, EarlyView.
Ultra‐pure silicon single‐crystals can be grown by the Floating Zone (FZ) method. This study investigates intricate relationships between process stability measures and multiple growth parameters by applying data mining techniques on FZ simulations. Regression Trees identified multivariate relationships that help explaining complex interactions between
Lucas Vieira   +3 more
wiley   +1 more source

Analytical Description of Nanowires: Morphing Wurtzite Structure Cross Sections to Match Arbitrary Convex Shapes

open access: yesAdvanced Theory and Simulations, EarlyView.
Analytic morphing of wurtzite nanowire cross sections to arbitrary shapes yields numbers of nanowire atoms, of bonds between these and of nanowire interface bonds, plus the nanowire cross section area. The ratios of above variables help to interpret any spectroscopic nanowire data which depend on diameter and cross section shape, and can be applied to ...
Dirk König, Sean C. Smith
wiley   +1 more source

Interaction spaces: towards a universal mathematical theory of complex systems [PDF]

open access: yesarXiv
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  

A Theoretical Investigation on Coupled Mass‐charge Transport in a Binary Fluid

open access: yesAdvanced Theory and Simulations, EarlyView.
This study presents a theoretical framework for coupled mass‐charge transport in binary fluids using molecular dynamics simulations. By deriving governing equations from conservation laws and Onsager's theory, the approach introduces generalized diffusivity and electrostatic friction terms.
Antonio Cappai   +3 more
wiley   +1 more source

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model for Dynamical Simulation

open access: yesAdvanced Theory and Simulations, EarlyView.
FMint is introduced as a multi‐modal foundation model that integrates human‐designed solvers and data‐driven methods for fast, accurate simulation of dynamical systems. FMint leverages in‐context learning within a transformer‐based framework to refine coarse numerical solutions.
Zezheng Song, Jiaxin Yuan, Haizhao Yang
wiley   +1 more source

The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies

open access: yesAdvanced Science, EarlyView.
This work explores the process of morning awakening of the human brain using polysomnography paired with simultaneous stereo‐electroencephalography, a method that provides high spatial and temporal resolution for examining brain activity. Awakening is characterized by an increase in high‐frequency spectral power and connectivity.
Tamir Avigdor   +5 more
wiley   +1 more source

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