An investigation on Pythagorean fuzzy [Formula: see text] fraction dense space using Pythagorean fuzzy frames. [PDF]
Gnanachristy NB, Revathi GK.
europepmc +1 more source
Mathematical foundations of the general ordered S-matrix and its topological expansion. [Higher-order corrections, indices, unitarity, graphs] [PDF]
openaire +1 more source
Topological Photonic Devices and Circuits at Terahertz Frequencies
This review examines how 3D topological insulators and emerging topological photonic phases enable robust, low‐loss and defect‐immune terahertz devices. Fundamental properties, device implementations and topological transport mechanisms are surveyed, revealing new opportunities for reconfigurable, high‐performance THz components and scalable ...
Samane Kalhor +3 more
wiley +1 more source
Existence of variational solutions to doubly nonlinear systems in nondecreasing domains. [PDF]
Schätzler L +3 more
europepmc +1 more source
Abstract This paper is devoted to the approximation of two‐ and three‐dimensional Dirac operators HV∼δΣ$H_{\widetilde{V} \delta _\Sigma }$ with combinations of electrostatic and Lorentz scalar δ$\delta$‐shell interactions in the norm resolvent sense. Relying on results from Behrndt, Holzmann, and Stelzer‐Landauer [Math. Nachr.
Jussi Behrndt +2 more
wiley +1 more source
Some Properties of the Plaquette Random-Cluster Model. [PDF]
Duncan P, Schweinhart B.
europepmc +1 more source
Solvability of invariant systems of differential equations on H2$\mathbb {H}^2$ and beyond
Abstract We show how the Fourier transform for distributional sections of vector bundles over symmetric spaces of non‐compact type G/K$G/K$ can be used for questions of solvability of systems of invariant differential equations in analogy to Hörmander's proof of the Ehrenpreis–Malgrange theorem.
Martin Olbrich, Guendalina Palmirotta
wiley +1 more source
Optimizing wireless sensor networks using fuzzy triangular snake graph models and fuzzy topological indices. [PDF]
Hashem AF, Liaqat S, Mufti ZS, Hanif MF.
europepmc +1 more source
Active Learning for the Discovery of Antiviral Polymers
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland +2 more
wiley +1 more source
A Review of Topological Data Analysis and Topological Deep Learning in Molecular Sciences. [PDF]
Wee J, Jiang J.
europepmc +1 more source

