Results 51 to 60 of about 91,861 (215)

Photonuclear Population of 229m,gTh in Th‐Doped Crystals Toward Nuclear Clock Development

open access: yesAdvanced Science, EarlyView.
This study demonstrates a novel photonuclear approach for producing the nuclear clock isomer 229mTh in thorium‐doped crystals, overcoming current supply limitations. Through cross‐section calculations and Monte Carlo simulations, we identify optimal crystal materials and irradiation conditions, achieving high signal‐to‐noise ratios.
Hao‐Yang Lan   +9 more
wiley   +1 more source

Free Metaplectic K-Wigner Distribution: Uncertainty Principles and Applications

open access: yesFractal and Fractional
This study focuses on a novel parameterized Wigner distribution, which is an organic integration of the free metaplectic Wigner distribution and the K-Wigner distribution.
Long Wang   +3 more
doaj   +1 more source

A simple approach to the chaos-order contributions in nuclear spectra

open access: yes, 2018
The simple one-parameter nearest neighbor-spacing distribution (NNSD) is suggested for statistical analysis of nuclear spectra. This distribution is derived within the Wigner-Dyson approach in the linear approximation for the level repulsion density of ...
Levon, A. I.   +2 more
core   +1 more source

Wigner-Ville distribution and cross Wigner-Ville distribution of noisy signals

open access: yesJournal of Systems Engineering and Electronics, 2008
Abstract The Wigner-Ville distribution (WVD) and the cross Wigner-Ville distribution (XWVD) have been shown to be efficient in the estimation of instantaneous frequency (IF). But the statistical result of the IF estimation from XWVD peak is much better than using WVD peak. The reason is given from a statistical point of view. Theoretical studies show
Chen Guanghua   +4 more
openaire   +1 more source

Gaussian Wigner distributions: A complete characterization [PDF]

open access: yesPhysics Letters A, 1987
Necessary and sufficient conditions on a gaussian phase space distribution to be a bona fide Wigner distribution, for any number of degrees of freedom, are derived. Williamson's theorem on the normal forms of positive matrices under symplectic transformations is used in a fundamental way.
Simon, R, Sudarshan, ECG, Mukunda, N
openaire   +2 more sources

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu   +5 more
wiley   +1 more source

The Fractional Fourier Transform and Its Application to Energy Localization Problems

open access: yesEURASIP Journal on Advances in Signal Processing, 2003
Applying the fractional Fourier transform (FRFT) and the Wigner distribution on a signal in a cascade fashion is equivalent to a rotation of the time and frequency parameters of the Wigner distribution.
ter Morsche Hennie G, Oonincx Patrick J
doaj   +1 more source

Investigating Quantum Coherence by Negative Excursions of the Wigner Quasi-Distribution

open access: yesApplied Sciences, 2019
Quantum information and quantum communication are both strongly based on concepts of quantum superposition and entanglement. Entanglement allows distinct bodies, that share a common origin or that have interacted in the past, to continue to be described ...
Mauro Ballicchia   +3 more
doaj   +1 more source

Transient quantum evolution of 2D electrons under photoexcitation of a deep center

open access: yes, 2007
We have considered the ballistic propagation of the 2D electron Wigner distribution, which is excited by an ultrashort optical pulse from a short-range impurity into the first quantized subband of a selectively-doped heterostructure with high mobility ...
A. Hernandez-Cabrera   +9 more
core   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

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