Results 71 to 80 of about 461,664 (195)

Surrogate Modelling for High-speed Rotating Flow Fields Based on Multi-fidelity Data Fusion

open access: yesJournal of Isotopes
High-speed rotating flow fields play a pivotal role in the mechanical systems used for stable heavy isotopes. The high dimensional design space of such complex rotating machinery is characterized by strong nonlinearity and substantial parameter coupling.
Xiaowei XU   +3 more
doaj   +1 more source

A DNN-Based Surrogate Constitutive Equation for Geometrically Exact Thin-Walled Rod Members

open access: yesComputation
Kinematically exact rod models were a major breakthrough to evaluate complex frame structures undergoing large displacements and the associated buckling modes.
Marcos Pires Kassab   +2 more
doaj   +1 more source

Considerations of Accuracy and Uncertainty with Kriging Surrogate Models in Single-Objective Electromagnetic Design Optimization

open access: yes, 2007
The high computational cost of evaluating objective functions in electromagnetic optimal design problems necessitates the use of cost-effective techniques.
Hawe, G., Sykulski, J.K.
core  

Reducing Tolerance‐Induced Spread on Transmission Error in Planetary Gear Stages Using Monte Carlo Simulations and Surrogate Models Acquired From a Design of Experiments Approach

open access: yesWind Energy
Significant variations in tonality levels are frequently observed among nominally identical wind turbine drivetrains, both in industrial test setups and during field operations, posing challenges to compliance with noise emission standards.
Bart De Smet   +5 more
doaj   +1 more source

Surrogate-Assisted Symbolic Time-Series Discretization Using Multi-Breakpoints and a Multi-Objective Evolutionary Algorithm

open access: yesMathematical and Computational Applications
The enhanced multi-objective symbolic discretization for time series (eMODiTS) method employs a flexible discretization scheme using different value cuts for each non-equal time interval, which incurs a high computational cost for evaluating each ...
Aldo Márquez-Grajales   +3 more
doaj   +1 more source

Sequential Design for Computer Experiments with a Flexible Bayesian Additive Model [PDF]

open access: yes, 2012
In computer experiments, a mathematical model implemented on a computer is used to represent complex physical phenomena. These models, known as computer simulators, enable experimental study of a virtual representation of the complex phenomena ...
Chipman, Hugh   +2 more
core  

Generative latent neural PDE solver using flow matching

open access: yesMachine Learning: Science and Technology
Autoregressive next-step prediction models have become standard for building data-driven neural solvers to predict time-dependent partial differential equations (PDEs).
Zijie Li   +2 more
doaj   +1 more source

Design Optimization Utilizing Dynamic Substructuring and Artificial Intelligence Techniques [PDF]

open access: yes, 2008
In mechanical and structural systems, resonance may cause large strains and stresses which can lead to the failure of the system. Since it is often not possible to change the frequency content of the external load excitation, the phenomenon can only be ...
Akcay Perdahcioglu, D.   +3 more
core   +1 more source

Spectral expansion methods for prediction uncertainty quantification in systems biology

open access: yesFrontiers in Systems Biology
Uncertainty is ubiquitous in biological systems. For example, since gene expression is intrinsically governed by noise, nature shows a fascinating degree of variability.
Anna Deneer   +2 more
doaj   +1 more source

ML-Surrogate Model

open access: yes
This repository contains attachments related to the publication:**[Machine Learning Surrogate Optimization Framework for an Additively Manufactured, Linearly Polarized Metal Coaxial-to-Circular Waveguide Transition for Space Applications] ****Published in: ** [Engineering Applications of AI], [Volume xxx], [Issue yyy], [Year 2025], [Page Numbers zzz or
HASAN, MUHAMMAD FAHAD   +2 more
  +4 more sources

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