Results 201 to 210 of about 24,939 (274)

Recent Advances in Photonic Bound States in the Continuum: From Fundamentals to Engineering and Implementation

open access: yesLaser &Photonics Reviews, EarlyView.
This review summarizes recent progress in meta‐photonics with a focus on bound states in the continuum (BICs) as a powerful platform for light confinement and control. It covers fundamental concepts, design strategies across optical regimes, symmetry breaking for practical quasi‐BICs, tunable and AI‐assisted BIC devices, and emerging applications in ...
Hafiz Saad Khaliq, Hak‐Rin Kim
wiley   +1 more source

What If Each Voxel Were Measured With a Different Diffusion Protocol? [PDF]

open access: yesMagn Reson Med
Coelho S   +7 more
europepmc   +1 more source

Efficient First‐Principles Inverse Design of Nanolasers

open access: yesLaser &Photonics Reviews, EarlyView.
This article introduces a first‐principles inverse‐design framework for nanolasers that directly incorporates nonlinear lasing physics. By unifying steady‐state ab‐initio laser theory (SALT) with topology optimization, it reveals how spatial hole burning, gain saturation, and cavity‐emitter coupling shape laser performance, enabling efficient discovery
Beñat Martinez de Aguirre Jokisch   +5 more
wiley   +1 more source

Optically Bound Rapid Plasmonic Nanorod Dimers: Anisotropic Dynamics Driven by Light‐Fluidic Cooperation

open access: yesLaser &Photonics Reviews, EarlyView.
Optically confined gold nanorods exhibit cooperative light‐driven dynamics, forming mobile end‐to‐end dimers with orientation‐dependent propulsion. Using structured laser traps and an opto‐thermo‐hydrodynamic model, we uncover how optical binding, polarization‐induced torque, and near‐surface hydrodynamics govern their motion.
José A. Rodrigo, Tatiana Alieva
wiley   +1 more source

Plasma loaded uniaxial chiral slab waveguide. [PDF]

open access: yesSci Rep
Umair M   +5 more
europepmc   +1 more source

A General Framework for Knowledge Integration in Machine Learning for Electromagnetic Scattering Using Quasinormal Modes

open access: yesLaser &Photonics Reviews, EarlyView.
Neural networks can accelerate modeling and inverse design of electromagnetic devices by several orders of magnitude, but usually require large amounts of data to train. This work demonstrates that integrating knowledge about quasinormal modes into the network architecture reduces the required amount of training data significantly, while simultaneously
Viktor A. Lilja   +3 more
wiley   +1 more source

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