The heat source layout optimization using deep learning surrogate modeling
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02659-4
Abstract: In practical engineering, the layout optimization technique driven by the thermal performance is faced with a severe computational burden when directly integrating the numerical analysis tool of temperature simulation into the optimization loop. To alleviate… read more here.
Keywords: learning surrogate; layout optimization; deep learning; optimization ... See more keywords
Machine learning surrogate for 3D phase-field modeling of ferroelectric tip-induced electrical switching
Sign Up to like & getrecommendations! Published in 2024 at "npj Computational Materials"
DOI: 10.1038/s41524-024-01375-7
Abstract: Phase-field modeling offers a powerful tool for investigating the electrical control of the domain structure in ferroelectrics. However, its broad application is constrained by demanding computational requirements, limiting its utility in inverse design scenarios. Here,… read more here.
Keywords: phase field; machine learning; learning surrogate; field modeling ... See more keywords
Explainable machine learning surrogate modeling for exit gradient prediction in hydraulic structures using numerical simulations
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2025.046
Abstract: Accurate prediction of exit gradients is essential for designing impounding hydraulic structures, such as dams and levees, to mitigate seepage-induced piping failures. Conventional analytical methods often neglect boundary effects and anisotropy, limiting their applicability in… read more here.
Keywords: exit; numerical simulations; hydraulic structures; machine learning ... See more keywords
Toward the Usage of Deep Learning Surrogate Models in Ground Vehicle Aerodynamics
Sign Up to like & getrecommendations! Published in 2024 at "Mathematics"
DOI: 10.3390/math12070998
Abstract: This study introduces a deep learning surrogate model designed to predict the evolution of the mean pressure coefficient on the back face of a Windsor body across a range of yaw angles from 2.5∘ to… read more here.
Keywords: deep learning; pressure coefficient; aerodynamics; mean pressure ... See more keywords