A domain-decomposed DeepONet framework that learns PDE solutions on composite rectangular/cuboid domains, reportedly with reduced memory and data requirements.
Computational Methods for Electromagnetic Phenomena: Electrostatics in Solvation, Scattering, and Electron Transport.Cambridge University Press, 2013
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DD-DeepONet: Domain decomposition and DeepONet for solving partial differential equations in three application scenarios
A domain-decomposed DeepONet framework that learns PDE solutions on composite rectangular/cuboid domains, reportedly with reduced memory and data requirements.