Results 171 to 180 of about 113,908 (298)

Use of proper orthogonal decomposition and machine learning for efficient blood flow prediction in cerebral saccular aneurysms. [PDF]

open access: yesSci Rep
Rajhi W   +7 more
europepmc   +1 more source

How Far Are Two Symmetric Matrices From Commuting? With an Application to Object Characterisation and Identification in Metal Detection

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 3, Page 1914-1942, February 2026.
ABSTRACT Examining the extent to which measurements of rotation matrices are close to each other is challenging due measurement noise. To overcome this, data is typically smoothed, and the Riemannian and Euclidean metrics are applied. However, if rotation matrices are not directly measured and are instead formed by eigenvectors of measured symmetric ...
P. D. Ledger   +2 more
wiley   +1 more source

A Digital Twin of Atomic Ensemble Quantum Memory Experiments Based on an Effective Quantum Channel Description

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 2, February 2026.
A tool to model ensemble‐based atomic quantum memory experiments using the quantum channel formalism is presented, incorporating realistic loss and noise effects. It provides a digital twin of state‐of‐the‐art memories and demonstrates its applicability through a simulation of a memory‐assisted quantum token protocol. The framework is easily extendable
Elizabeth Jane Robertson   +3 more
wiley   +1 more source

Analyzing the Free States of one Quantum Resource Theory as Resource States of Another

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 2, February 2026.
The article investigates how free states in one quantum resource theory can become highly resourceful in another. It systematically studies multipartite entanglement, fermionic non‐Gaussianity, imaginarity, realness, spin coherence, Clifford non‐stabilizerness, Sn‐equivariance, and non‐uniform entanglement, combining rigorous analytical tools and ...
Andrew E. Deneris   +5 more
wiley   +1 more source

Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.
ABSTRACT During the past two decades, methods for identifying groups with different trends in longitudinal data involving a single numeric outcome have become of increasing interest across many areas of research. To support researchers, we summarize the guidance from literature regarding the clustering of such data.
N. G. P. Den Teuling   +2 more
wiley   +1 more source

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