Results 101 to 110 of about 2,810 (199)

Fast automated adjoints for spectral PDE solvers. [PDF]

open access: yesProc Natl Acad Sci U S A
Skene CS, Burns KJ.
europepmc   +1 more source

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1973-2102, August 2026.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

A Lightweight and Erudite Automated BiLSTM‐Based Multi‐Cycle GAN for Retinal Blood Vessel and Optic Disc Segmentation in Fundus Images

open access: yesEngineering Reports, Volume 8, Issue 8, August 2026.
This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty   +7 more
wiley   +1 more source

Modeling and Analysis of Nonlinear Radiative and Electromagnetic Effects With Second‐Order Slip in Unsteady Hybrid Nanofluid Flow Past a Porous Stretching Surface

open access: yesEngineering Reports, Volume 8, Issue 8, August 2026.
The current work examines the dynamics of the stagnation point flow of an unsteady hybrid nanofluid (Fe2O3–Cu/H2O) across an inclined porous stretching surface. It considers heat transfer, second‐order slip, electrical field, heat source/sink, mixed convection, and magnetic field effects, as well as linear and nonlinear radiation.
Mazhar Hussain   +4 more
wiley   +1 more source

Physics Constraint‐Guided Neural Network for Solving Partial Differential Equations

open access: yesEngineering Reports, Volume 8, Issue 8, August 2026.
A Physics Constraint‐Guided Network (PCGN) is proposed to solve partial differential equations by integrating physical encoding, adaptive residual balancing, and constraint projection. The framework enables stable constraint propagation, improves physical consistency, and achieves higher accuracy and robustness compared with existing neural network ...
Zhihui Hou, Yaxu Peng
wiley   +1 more source

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