Four-stage Lobatto analysis on 3D magneto-hydrodynamic radiative non-newtonian nanofluid flow and heat transportation over a stretchable surface under Brownian motion and thermophorsis impact. [PDF]
Majeed A, Ali P, Kouki M.
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ABSTRACT AI for PDEs has garnered significant attention, particularly physics‐informed neural networks (PINNs). However, PINNs are typically limited to solving specific problems, and any changes in problem conditions necessitate retraining. Therefore, we explore the generalization capability of transfer learning in the strong and energy forms of PINNs ...
Yizheng Wang+6 more
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The present study answers the research question: A corpus-based analysis of collocate directionality in academic English writing. [PDF]
Sanosi AB.
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ABSTRACT In this article, the physics informed neural networks (PINNs) is employed for the numerical simulation of heat transfer involving a moving source under mixed boundary conditions. To reduce computational effort and increase accuracy, a new training method is proposed that uses a continuous time‐stepping through transfer learning.
Anirudh Kalyan, Sundararajan Natarajan
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Numerical study of Fisher's reaction–diffusion equation by the Sinc collocation method
Kamel Al‐Khaled
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Taylor-Galerkin method for solving higher-order nonlinear complex differential equations. [PDF]
Humayun Kabir M+2 more
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Legendre spectral-collocation method for solving some types of fractional optimal control problems. [PDF]
Sweilam NH, Al-Ajami TM.
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ANN‐Based Green's Function Approach for Reservoir Geomechanics
ABSTRACT Green's functions have been a tool to analyze important reservoir geomechanics effects like subsidence, compaction, well closure, and permeability variation. However, the classical Green's function is related to linear elastic, homogenous, and geometrically simplified media.
Matheus L. Peres+2 more
wiley +1 more source
Analysis of RL electric circuits modeled by fractional Riccati IVP via Jacobi-Broyden Newton algorithm. [PDF]
Abd El-Hady M+3 more
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