FDFD: a 3D finite-difference frequency-domain code for electromagnetic induction tomography

By Nathan J. Champagne, James G. Berryman, H. Buettner. 2001

62 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Geophysics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/21c1705fb942383bdd0448771476f29a1b137cb4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Steven G. Johnson
2. Lu Lu
3. Zhimin Shi
4. Mahmoud I. Hussein
5. Peter Lempel Søndergaard
6. Luis Gravano
7. John Paparrizos
8. Richard G. FitzJohn

In Ocean Engineering

1. Lu Lu

Citations in the corpus

• Physics-informed neural networks with hard constraints for inverse design (2021, methodology): “As a comparison, we also solve this problem by using the method for PDE-constrained inverse design discussed in [34], and here we have considered two numerical PDE solvers: FDFD [7] and FEM [1, 3, 16] (details in Appendices B and C, respectively).”