Uncover the definition of fuzzy logic, which is a computational approach that interprets uncertain data, and learn more about ...

Abstract: Physics-driven neural solvers can reconstruct strongly nonlinear inverse scattering scenes without supervised training, but their per-instance optimization over pixel-wise unknowns is ...

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...

Abstract: We perform a 2-D Fourier transform along the horizontal direction on the 3-D integration problem for the dc anomalous potential in the spatial domain, transforming it into a 1-D integration ...

MPSpack is a user-friendly and fully object-oriented MATLAB toolbox that implements the method of particular solutions (aka Trefftz or nonpolynomial FEM, including the method of fundamental solutions, ...

Physics-informed convolutional recurrent network (PhyCRNet) can solve partial differential equations without labeled data by encoding physics constraints into the loss function. However, the ...