Results 201 to 210 of about 369,200 (324)
High-Efficiency Lossy Source Coding Based on Multi-Layer Perceptron Neural Network. [PDF]
Wang Y +5 more
europepmc +1 more source
On the Classical Interpretation of Schwinger Boson Representation for the Quantized Rotator [PDF]
Hiroshi Ichihashi, M. Yamamura
openalex +1 more source
The 0D/1D grain boundary coupling between Fe₃O₄ quantum dots and CNTs induces extreme charge redistribution and short‐range magnetic resonance, enabling complete electromagnetic wave absorption across the entire X and Ku bands. ABSTRACT Ferrite–carbon composites effectively absorb electromagnetic (EM) waves via coupled mechanisms.
Jie Huang +9 more
wiley +1 more source
Low-Overhead Learning: Quantized Shallow Neural Networks at the Service of Genetic Algorithm Optimization. [PDF]
Pizarro F +4 more
europepmc +1 more source
Erratum to: Learning Vocabularies over a Fine Quantization [PDF]
Andrej Mikulík +3 more
openalex +1 more source
This study demonstrates that dilute Mn(II) (∼0.02 mol%) doped into the Zn(II)‐MOF [CH6N3][Zn(HCOO)3] act as high‐spin (S = 5/2) spin qubits, achieving microsecond phase memory times above 50 K—the first report for Mn(II)‐based systems. Robust hydrogen‐bonding networks suppress relaxation and stabilize the lattice, extending T2.
Shraddha Gupta +7 more
wiley +1 more source
Quantization of an Integrable Minisuperspace Model in Dilaton-Einstein Gravity [PDF]
Marco Cavaglià, Vittorio de Alfaro
openalex +1 more source
A priori bounds for the generalised parabolic Anderson model
Abstract We show a priori bounds for solutions to (∂t−Δ)u=σ(u)ξ$(\partial _t - \Delta) u = \sigma (u) \xi$ in finite volume in the framework of Hairer's Regularity Structures [Invent Math 198:269–504, 2014]. We assume σ∈Cb2(R)$\sigma \in C_b^2 (\mathbb {R})$ and that ξ$\xi$ is of negative Hölder regularity of order −1−κ$- 1 - \kappa$ where κ<κ¯$\kappa <
Ajay Chandra +2 more
wiley +1 more source
Balancing accuracy and efficiency: co-design of hybrid quantization and unified computing architecture for spiking neural networks. [PDF]
Li J +8 more
europepmc +1 more source

