Results 91 to 100 of about 12,820,749 (293)

Accelerating High‐Fidelity Airfoil Design via Physics‐Informed Video Diffusion Model

Advanced Science, EarlyView.
Physics‐informed video diffusion enables rapid inverse aerodynamic design by mapping target lift‐to‐drag response to airfoil geometries and full‐field flow distributions. Trained on 53 400 DNS samples, the model achieves over 90% fidelity with ∼30 s inference, while experimentally realized propeller designs demonstrate a practical pathway from ...
Yifeng Ai, Yijia Guo, Hongfu Zhang, Lei Zhou, Tiejun Huang, Weiqiu Chen, Xuhui He, Peng Guo, C. W. Lim, Lei Ma   +9 more
wiley   +1 more source

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

Advanced Electronic Materials, EarlyView.
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, K. Nikiruy, A.S. Demirkol, Alon Ascoli, M. Ziegler, R. Tetzlaff, Fernando Corinto   +6 more
wiley   +1 more source

On upper bounds of the complexity of functions over nonprime finite fields in some classes of polarized polynomials

Известия Иркутского государственного университета: Серия "Математика", 2016
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

Міжнародний науково-технічний журнал "Проблеми керування та інформатики"
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, Г.І. Гогерчак   +1 more
doaj   +1 more source

Deterministic distinct-degree factorization of polynomials over finite fields

, 2004
A deterministic polynomial time algorithm is presented for finding the distinct-degree factorization of multivariate polynomials over finite fields. As a consequence, one can count the number of irreducible factors of polynomials over finite fields in ...
Lauder, AG, Gao, S, Kaltofen, E
core   +1 more source

Farmers' Preferences for Fossil‐Free Mineral Nitrogen Fertilizers: Role of Prices, Climate, Production Origin, and Identity

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Disruptions in global fertilizer markets and climate targets have increased interest in fossil‐free mineral nitrogen fertilizers. This study examines farmers' preferences for conventional (fossil‐based) and fossil‐free fertilizers using a labeled discrete choice experiment with 211 Swedish farmers.
Nasir Adam, Hui Tao, Gordana Manevska‐Tasevska, Per‐Anders Hansson, Vivian Wei Huang, Helena Hansson   +5 more
wiley   +1 more source

Permutations, hyperplanes and polynomials over finite fields

Finite Fields and Their Applications, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
András Gács, Tamás Héger, Zoltán Lóránt Nagy, Dömötör Pálvölgyi   +3 more
openaire   +6 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source