Results 91 to 100 of about 12,115,560 (297)
A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +1 more source
On Upper Bound of the Complexity of Quasi Polynomial Representations of Functions over Finite Fields
Representations of functions over finite fields, including polynomial representations, are being actively investigated. The complexity of such representations is one of main directions of research.
A.S. Baliuk
doaj
Factorization of a class of polynomials over finite fields
This paper studies the factorization of polynomials of the form \(F_r(x) = bx^{q^{r}+1}-ax^{q^r} + dx-c\) over a finite field \(\mathbb{F}_q\). The authors show that all the irreducible factors of \(F_r(x)\) are exactly those polynomials that are invariant under a natural action of a nontrivial element \([A]\) of \(\mathrm{PGL}(2, q)\) where \[ A ...
Stichtenoth, Henning, Topuzoğlu, Alev
openaire +4 more sources
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
The possibility of constructing a full-parametric analytical solution of the stress-strain state problem for the body caused by the influence of volumetric forces is studied.
Viktor Borisovich Pen'kov +2 more
doaj +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Recently, the interest to polynomial representations of functions over finite fields and over finite rings is being increased. Complexity of those representations is widely studied.
A. Kazimirov, S. Reymerov
doaj
ALGORITHM FOR SOLVING SYSTEMS OF LINEAR EQUATIONS IN FIELD Fpk
Basic theoretical concepts of finite fields area are considered, including concepts of residue field and extension of residue field. The algorithms necessary for constructing extensions ef residue fields are given: a Rabin test for checking ...
С.Л. Кривий +1 more
doaj +1 more source
Farmers' Preferences for Gene Editing Crops and Influencing Factors
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele +1 more
wiley +1 more source
Generators and irreducible polynomials over finite fields [PDF]
Weil’s character sum estimate is used to study the problem of constructing generators for the multiplicative group of a finite field. An application to the distribution of irreducible polynomials is given, which confirms an asymptotic version of a conjecture of Hansen-Mullen.
openaire +2 more sources

