Efficient Polarization‐Entangled Photon‐Pair Generation by a Fiber‐In‐Line van der Waals Material
Telecom‐wavelength polarization‐entangled photon pairs are generated in a van der Waals‐material‐integrated all‐fiber device via spontaneous parametric down‐conversion. The demonstrated fiberized quantum light source bridges emerging 2D nonlinear materials and practical quantum photonic systems, opening new opportunities for scalable fiber‐based ...
Jungseok Choi +11 more
wiley +1 more source
Robust Pose and Inertial Parameter Estimation of an Unknown Aircraft Based on Variational Bayesian Dual Vector Quaternion Extended Kalman Filter. [PDF]
Xu S, Fang Y, Huang H.
europepmc +1 more source
From Folding Mechanics to Robotic Function: A Unified Modeling Framework for Compliant Origami
A geometry‐consistent DDG framework captures compliant origami deformation from rigid‐like folding to soft panel bending. By tuning crease and panel stiffness, bistable snap‐through responses transform into smooth monostable deformation, enabling programmable stability and robot‐scale locomotion.
Bohan Zhang +7 more
wiley +1 more source
Bayesian Optimization of Catalysis with In-Context Learning. [PDF]
Caldas Ramos M +3 more
europepmc +1 more source
Coherent OAM generation from discrete chaotic phase surfaces. [PDF]
Moriya N.
europepmc +1 more source
Detrended Cross-Correlations and Their Random Matrix Limit: An Example from the Cryptocurrency Market. [PDF]
Drożdż S +4 more
europepmc +1 more source
Chromosome segregation synchrony in S. pombe is noise limited and arises without positive feedback. [PDF]
Williams W +5 more
europepmc +1 more source
A TLS-Motivated Non-Iterative Robust Square-Root Cubature Kalman Filter for Bearings-Only Tracking. [PDF]
Li C +5 more
europepmc +1 more source
Deep autoencoder for low dimensionality for high dimensional data in regression models and direct inverse analysis of models. [PDF]
Kaneko H.
europepmc +1 more source
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On the Discrete POISSON-Inverse GAUSSian Distribution
Biometrical Journal, 1981AbstractThe discrete POISSON‐inverse GAUssian distribution is obtained by compounding the POISSON distribution with the inverse‐GAUssian distribution. The maximum likelihood of the parameter is discussed. Comparison with the POISSON, negative binomial, POISSON‐LINDLEY and the generalized WARING distribution when fitting a distribution to accident ...
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