Brittany Erickson

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Assistant Professor

University of Oregon
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Dr. Brittany Erickson is an Assistant Professor at the University of Oregon, USA. Her research focuses on earthquake modeling, fault friction, and volcanic deformation, employing advanced computational methods such as physics-informed deep learning and high-order finite difference techniques. She is actively involved in community-driven initiatives to enhance code verification in simulations of seismic and aseismic activities.

Recent Grants

Grant: Open

CAREER: Physics-Informed Deep Learning for Understanding Earthquake Slip Complexity

Open Date: 2024-05-01

Close Date: 2029-04-30

Grant: Close

Advancing Simulations of Sequences of Earthquakes and Aseismic Slip (SEAS)

Open Date: 2023-02-01

Close Date: 2024-01-01

Grant: Close

Collaborative Research: Exploring System-Wide Events in Complex Fault Networks using Fully-Dynamic 3D Earthquake Cycle Simulations

Open Date: 2021-08-01

Close Date: 2024-07-01

Grant: Close

Collaborative Research: Exploring System-Wide Events on Complex Fault Networks using Fully-Dynamic 3D Earthquake Cycle Simulations

Open Date: 2021-08-01

Close Date: 2025-07-31

Grant: Close

Fluid oscillations in conduit-reservoir systems, very long period seismic signals at Kilauea volcano, and the phenomenology of unsteady magma ascent

Open Date: 2021-04-01

Close Date: 2025-03-31

Articles (10)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Time‐dependent ground deformation is a key observable in active magmatic systems, but is challenging to characterize. Here we present a numerical framework for modeling transient deformation and stress around a subsurface, spheroidal pressurized magma reservoir within a viscoelastic half‐space with variable material coefficients, utilizing a high‐order finite‐element method and explicit time‐stepping. We derive numerically stable time steps and verify convergence, then explore the frequency dependence of surface displacement associated with cyclic pressure applied to a spherical reservoir beneath a stress‐free surface. We consider a Maxwell rheology and a steady geothermal gradient, which gives rise to spatially variable viscoelastic material properties. The temporal response of the system is quantified with a transfer function that connects peak surface deformation to reservoir pressurization in the frequency domain. The amplitude and phase of this transfer function characterize the viscoelastic response of the system, and imply a framework for characterizing general deformation time series through superposition. Transfer function components vary with the frequency of pressure forcing and are modulated strongly by the background temperature field. The dominantly viscous region around the reservoir is also frequency dependent, through a local Deborah number that measures pressurization period against a spatially varying Maxwell relaxation time. This near‐reservoir region defines a spatially complex viscous/elastic transition whose volume depends on the frequency of forcing. Our computational and transfer function analysis framework represents a general approach for studying transient viscoelastic crustal responses to magmatic forcing through spectral decomposition of deformation time series, such as long‐duration geodetic observations.

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (8)

Jean‐Paul Ampuero

-

FRANCE
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Martin Almquist

Assistant Professor

Uppsala University

SWEDEN
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Sylvain Barbot

Associate Professor

University of Southern California

UNITED STATES
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Yuyun Yang

Stanford University

UNITED STATES
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Junle Jiang

Assistant Professor

University of Oklahoma

UNITED STATES
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Yoshihiro Kaneko

准教授 / Associate Professor

Kyoto University

JAPAN
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Luca Dal Zilio

Assistant Professor of Geophysics

-

SINGAPORE
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Jay Gopalakrishnan

-

UNITED STATES
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