SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. - Rowan Cockett; Seogi Kang; Lindsey J. Heagy; Adam Pidlisecky; Douglas W. Oldenburg (Comput. Geosci., 2015)

A framework for simulation and inversion in electromagnetics. - Lindsey J. Heagy; Rowan Cockett; Seogi Kang; Gudni K. Rosenkjaer; Douglas W. Oldenburg (Comput. Geosci., 2017)

A framework for the upscaling of the electrical conductivity in the quasi-static Maxwell's equations. - Luz Angelica Caudillo-Mata; Eldad Haber; Lindsey J. Heagy; Christoph Schwarzbach (J. Comput. Appl. Math., 2017)

Efficient 3D inversions using the Richards equation. - Rowan Cockett; Lindsey J. Heagy; Eldad Haber (Comput. Geosci., 2018)

Modeling electromagnetics on cylindrical meshes with applications to steel-cased wells. - Lindsey J. Heagy; Douglas W. Oldenburg (Comput. Geosci., 2019)

Towards Interactive, Reproducible Analytics at Scale on HPC Systems. - Shreyas Cholia; Lindsey J. Heagy; Matthew L. Henderson; Drew Paine; Jon Hays; Ludovico Bianchi; Devarshi Ghoshal; Fernando Pérez; Lavanya Ramakrishnan (UrgentHPC@SC, 2020)

Joint geophysical, petrophysical and geologic inversion using a dynamic Gaussian mixture model. - Thibaut Astic; Lindsey J. Heagy; Douglas W. Oldenburg (CoRR, 2020)

Hybrid parametric/smooth inversion of electrical resistivity tomography data. - Teddi Herring; Lindsey J. Heagy; Adam Pidlisecky; Edwin Cey (Comput. Geosci., 2022)

MTH5: An archive and exchangeable data format for magnetotelluric time series data. - Jared R. Peacock; Karl N. Kappler; Lindsey J. Heagy; Timothy Ronan; Anna Kelbert; Andrew Frassetto (Comput. Geosci., 2022)

Aurora: An open-source Python implementation of the EMTF package for magnetotelluric data processing using MTH5 and mt_metadata. - Karl N. Kappler; Jared R. Peacock; Gary D. Egbert; Andrew Frassetto; Lindsey J. Heagy; Anna Kelbert; Laura Keyson; Douglas Oldenburg; Timothy Ronan; Justin Sweet (J. Open Source Softw., 2024)

A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem With a Convolutional Neural Network. - Anran Xu; Lindsey J. Heagy (IEEE Trans. Geosci. Remote. Sens., 2024)

Toward Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields. - Anran Xu; Lindsey J. Heagy (IEEE Trans. Geosci. Remote. Sens., 2025)

Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields. - Anran Xu; Lindsey J. Heagy (CoRR, 2025)