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Found 3 papers, 1 papers with code
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem
Full-waveform inversion (FWI) is a powerful geophysical imaging technique that infers high-resolution subsurface physical parameters by solving a non-convex optimization problem.
Capturing the Diffusive Behavior of the Multiscale Linear Transport Equations by Asymptotic-Preserving Convolutional DeepONets
In this paper, we introduce two types of novel Asymptotic-Preserving Convolutional Deep Operator Networks (APCONs) designed to address the multiscale time-dependent linear transport problem.
Enforcing exact boundary and initial conditions in the deep mixed residual method
In theory, boundary and initial conditions are important for the wellposedness of partial differential equations (PDEs).
Numerical Analysis Numerical Analysis
