Electromagnetics has an important role to play in solving the next generation of geoscience problems. These problems are multidisciplinary, complex, and require collaboration. This is especially true at the base scientific level where the underlying physical equations need to be solved, and data, associated with physical experiments, need to be inverted. In this paper, we present arguments for adopting an open-source methodology for geophysics and provide some background about open-source software for electromagnetics. Immediate benefits are the reduced time required to carry out research, being able to collaborate, having reproducible results, and being able to disseminate results quickly. To illustrate the use of an open-source methodology in electromagnetics, we present two challenges. The first is to simulate data from a time domain airborne system over a conductive plate buried in a more resistive earth. The second is to jointly invert airborne TDEM and FDEM data with ground TDEM. SimPEG, Simulation and Parameter Estimation in Geophysics, (https://simpeg.xyz) is used for the open-source software. The figures in this paper can be reproduced by downloading the Jupyter Notebooks we provide with this paper (https://github.com/simpeg-research/oldenburg-2018-AEM). Access to the source code allows the researcher to explore the simulations and inversions by changing model and inversion parameters, plot fields and fluxes to gain further insight about the EM phenomena, and solve a new research problem by using open-source software as a base. By providing results in a manner that allows others to reproduce, further explore, and even extend them, we hope to demonstrate that an open-source paradigm has the potential to enable more rapid progress of the geophysics community as a whole.
Two-dimensional probabilistic inversion of plane-wave electromagnetic data: Methodology, model constraints and joint inversion with electrical resistivity data
Offset errors in probabilistic inversion of small-loop frequency-domain electromagnetic data: a synthetic study on their influence on magnetic susceptibility estimation
Feature-based Inversion of 2.5D Controlled Source Electromagnetic Data using Generative Priors
Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University（电子工程系，北京信息科学与技术国家研究中心（BNRist），清华大学）；Faculty of Math and Computer Science, Weizmann Institute of Science（数学与计算机科学学院，魏兹曼科学研究所）
Evolution of the Stress and Strain field in the Tyra field during the Post-Chalk Deposition and Seismic Inversion of fault zone using Informed-Proposal Monte Carlo
Modelling Arbitrary Complex Dielectric Properties -- an automated implementation for gprMax
在对探地雷达（GPR）建模时，需要准确地模拟具有复杂电磁特性的材料，因为GPR遇到的许多物体都含有水，例如土壤，固化混凝土和充水管道。gprMax是一个广泛使用的模拟电磁波传播的开源软件。它使用Yee算法来求解Maxwell方程，并采用时域有限差分法（FDTD）。FDTD方法的一个显著缺点是对具有色散特性的材料建模的能力有限，目前仅限于特定的弛豫机制，即多德拜，德鲁德和洛伦兹介质。因此，任何复杂材料的建模都应该通过将其近似为这些函数的组合来完成。本文描述了作为Google Summer of Code（GSoC）计划2021的一部分而开展的工作，该计划旨在开发gprMax中的一个新模块，该模块可用于以自动方式使用多德拜展开来模拟复杂的色散材料。该模块能够对Havriliak-Negami、Cole-Cole、Cole-Davidson、Jonscher、复折射率模型以及用户指定的具有实部和虚部介电常数的任意色散材料进行建模。
