Results 101 to 110 of about 39,423 (231)
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Approximate Duals Introduced by Multipliers and Their Role in the Reconstruction of Signals
Paper pages (237-252) Introduction Frames for Hilbert spaces were first introduced by Duffin and Schaeffer in 1952 to study some problems in nonharmonic Fourier series, reintroduced in 1986 by Daubechies, Grossmann and Meyer.
Morteza Mirzaee Azandaryani +1 more
doaj
Equilibrium Propagation for Dissipative Dynamics
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley +1 more source
On Some Multipliers Related to Discrete Fractional Integrals
This paper explores the properties of multipliers associated with discrete analogues of fractional integrals, revealing intriguing connections with Dirichlet characters, Euler’s identity, and Dedekind zeta functions of quadratic imaginary fields ...
Jinhua Cheng
doaj +1 more source
Controlling Dynamical Systems Into Unseen Target States Using Machine Learning
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr +2 more
wiley +1 more source
k‐Selective Electrical‐to‐Magnon Transduction with Finite‐Element‐Resolved Sub‐Micron Nanoantennas
We introduce a coupled finite‐element‐finite‐difference framework that links impedance‐matched nanoantenna geometries to propagating spin‐wave dynamics, capturing skin effects, proximity effects, and taper leakage beyond uniform‐current models. Applied to coplanar‐waveguide and stripline nanoantennas on yttrium‐iron‐garnet, the simulations achieve ...
Andreas Höfinger +11 more
wiley +1 more source
This study demonstrates a versatile hardware platform using nano‐oscillators based on binary oxides for deterministic and probabilistic computing. By tailoring material physics, NbOx enables energy‐efficient synchronization for pattern recognition, while enhanced stochasticity in engineered SiOx provides robust entropy for p‐bits to solve complex ...
Jihyun Kim +3 more
wiley +1 more source
“A simple 1D transfer matrix model of a battery is introduced and parametrized using harvested individual cell components at 0 % and 100 % SoC. This model allows for the calculation of group velocity and attenuation. The results of the model show good agreement with measured values, highlighting increased attenuation and group velocity at the ...
Simon Feiler +3 more
wiley +1 more source
Synthesis of trimethylolpropane trioleate by using stannous oxalate catalyst
Abstract This study was conducted to synthesize trimethylolpropane trioleate (TMPTO) using a stannous oxalate catalyst and investigate the dependence of the esterification rate on reaction variables. The highest esterification rate of approximately 99% was achieved at a 2.75:1 oleic acid/trimethylolpropane, 1.5% catalyst amount, 180°C reaction ...
Oguzhan Ilgen, Sumeyye Bilgic
wiley +1 more source
Key improvements obtained by incorporating nanoparticles into a lab‐scale SAGD process configuration. The bar plots show enhanced oil recovery, reduced viscosity, and increased asphaltene adsorption in nanoparticle‐assisted scenarios compared with conventional SAGD.
Luis Prada +6 more
wiley +1 more source

