SPINNED: Simulation‐based physics‐informed neural network for deconvolution of dynamic susceptibility contrast MRI perfusion data
Sign Up to like & getrecommendations! Published in 2024 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.30095
Abstract: To propose the simulation‐based physics‐informed neural network for deconvolution of dynamic susceptibility contrast (DSC) MRI (SPINNED) as an alternative for more robust and accurate deconvolution compared to existing methods. read more here.
Keywords: physics informed; based physics; informed neural; simulation based ... See more keywords
A new modified deep learning technique based on physics-informed neural networks (PINNs) for the shock-induced coupled thermoelasticity analysis in a porous material
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Thermal Stresses"
DOI: 10.1080/01495739.2024.2321205
Abstract: Abstract In this article, a new modified deep learning (DL) method based on physics-informed neural networks (PINNs) is proposed for analyzing generalized coupled thermoelasticity in a porous material under shock loadings using Lord–Shulman (LS) theory.… read more here.
Keywords: deep learning; based physics; modified deep; material ... See more keywords
Modular Meshless Electromagnetic Simulation Using KAN-Based Physics-Informed Neural Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal on Multiscale and Multiphysics Computational Techniques"
DOI: 10.1109/jmmct.2025.3618590
Abstract: A novel meshless electromagnetic (EM) simulation framework based on Physics-Informed Neural Networks (PINNs), enhanced by the integration of Kolmogorov–Arnold Networks (KANs) is presented. The proposed method addresses both electrostatic and electrodynamic problems governed by Laplace… read more here.
Keywords: physics informed; based physics; electromagnetic simulation; simulation ... See more keywords
A female student's achievement emotions in an inquiry-based physics class
Sign Up to like & getrecommendations! Published in 2025 at "Eurasia Journal of Mathematics, Science and Technology Education"
DOI: 10.29333/ejmste/16563
Abstract: While student emotions influence student learning and engagement, there is a notable gap in our understanding of student emotions regarding science learning, particularly within the context of postsecondary science education and inquiry. The study investigated… read more here.
Keywords: student; based physics; inquiry based; physics class ... See more keywords
Investigation on aortic hemodynamics based on physics-informed neural network
Sign Up to like & getrecommendations! Published in 2023 at "Mathematical Biosciences and Engineering"
DOI: 10.3934/mbe.2023512
Abstract: Pressure in arteries is difficult to measure non-invasively. Although computational fluid dynamics (CFD) provides high-precision numerical solutions according to the basic physical equations of fluid mechanics, it relies on precise boundary conditions and complex preprocessing,… read more here.
Keywords: informed neural; physics; based physics; pressure ... See more keywords