Results 61 to 70 of about 5,469 (233)
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Dipole symmetry breaking and fractonic Nambu-Goldstone mode
SciPost Physics Core, 2023 We introduce a family of quantum field theories for fields carrying monopole and dipole charges. In contrast to previous realizations, fields have quadratic two-derivative kinetic terms.
Evangelos Afxonidis, Alessio Caddeo, Carlos Hoyos, Daniele Musso
doaj +1 more source
On the congruence kernel for simple algebraic groups [PDF]
Proceedings of the Steklov Institute of Mathematics, 2016 This paper contains several results about the structure of the congruence kernel C^(S)(G) of an absolutely almost simple simply connected algebraic group G over a global field K with respect to a set of places S of K. In particular, we show that C^(S)(G) is always trivial if S contains a generalized arithmetic progression.
Prasad, Gopal, Rapinchuk, Andrei S.
openaire +3 more sources
A Guide to Bayesian Optimization in Bioprocess Engineering
Biotechnology and Bioengineering, EarlyView.ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Note on Lie algebra kernels in characteristic 𝑝 [PDF]
Proceedings of the American Mathematical Society, 1956 Let K and L be Lie algebras over a field F. Let D(K) denote the derivation algebra of K, and I(K) the ideal consisting of the inner derivations of K. If q5 is a homomorphism of L into D(K)/I(K) then 4) defines what is called the structure of an L-kernel on K.
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Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Lie group classification and exact solutions of the generalized Kompaneets equations
Electronic Journal of Differential Equations, 2015 We study generalized Kompaneets equations (GKEs) with one functional parameter, and using the Lie-Ovsiannikov algorithm, we carried out the group classification. It is shown that the kernel algebra of the full groups of the GKEs is the one-dimensional
Oleksii Patsiuk
doaj
Kernel Inclusions of Algebraic Automorphisms
Communications in Algebra, 2011 Let R be a prime ring with left Martindale quotient ring R ℱ and symmetric Martindale quotient ring Q. Define, for an automorphism σ of R, R (σ) = {x ∈ R∣x σ = x}. Let σ and τ be automorphisms of R, and assume that σ is left R ℱ -algebraic. We show that R (σ) ⊆ R (τ) if and only if x τ = vx σ i v −1 for all x ∈ R, where i is an integer and where v is ...
openaire +2 more sources