Results 141 to 150 of about 36,400 (267)
Laser &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
Advances in Position‐Momentum Entanglement: A Versatile Tool for Quantum Technologies
Laser &Photonics Reviews, EarlyView.Position–momentum entanglement constitutes a high‐dimensional continuous‐variable resource in quantum optics. Recent advances in its generation, characterization, and control are reviewed, with emphasis on spontaneous parametric down‐conversion and modern measurement techniques.
Satyajeet Patil +6 more
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Chebyshev Hermite polynomials Schrödinger equation and heat conduction
, 1992 In this paper, we present a solution of a particular one-dimensional Schrödinger equation, the solution of which leads to Chebyshev Hermite polynomials.
Bajpai, S.D., Sadhana, M.
core
Deterministic Fiber‐Optic Spectral Engineering Enables Three‐Color Multiplexed Two‐Photon Microscopy
Laser &Photonics Reviews, EarlyView.A simulation‐guided spectral‐engineering framework maps the nonlinear parameter space of a fiber laser platform to identify balanced three‐band excitation states. The resulting 960, 1080, and 1175 nm femtosecond pulses deliver nJ‐level energies for low‐cross‐talk chromatically multiplexed two‐photon microscopy.
Marvin Edelmann +5 more
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Movement Disorders Clinical Practice, EarlyView.Abstract Background LRRK2‐Parkinson's disease (LRRK2‐PD) is biologically heterogeneous with approximately 30% lacking aggregated alpha synuclein (αSyn) in cerebrospinal fluid by seed amplification assay (SAA). Prior work has suggested slower progression in LRRK2‐PD compared to sporadic PD (sPD).
Lucy A. Morse +224 more
wiley +1 more source
mLife, EarlyView.Abstract Toxin–antitoxin (TA) systems found in diverse bacteria play important roles in their adaptation to changing environments. The toxin of the Fic‐1–AntF TA pair from Pseudomonas bijieensis strain 2P24 inhibits bacterial DNA replication by attacking the subunit B of DNA gyrase (GyrB) via AMPylation, while the antitoxin AntF blocks its enzymatic ...
Furong Chen +6 more
wiley +1 more source
SOME METHODS OF THE DECISION OF PROBLEMS OF NUCLEAR PHYSICS ON THE CONNECTED CONDITIONS
Вестник. Серия физическая, 2008 Some not standard methods for numerical decided of the Schrodinger equation or system of the Schrodinger equation with tensor force in nuclear physics tasks at low energies and nuclear astrophysics was consider.
S.B. Dubovichenko
doaj
Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar +3 more
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Sundman‐Like Transformations and the NRT Nonlinear Schrödinger Equation
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT We present a new generalization of the well‐known power‐type Sundman transformation, involving not only powers of the function but also of its derivative, along with its inverse. Our aim is to explore the use of such transformations in the derivation of solutions of ordinary differential equations and in the study of their properties.
P. R. Gordoa +3 more
wiley +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
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