Daniel Trugman

Assistant Professor

University of Nevada Reno

United States

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Articles (16)

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (12)

Nadine Igonin

Assistant Professor

University of Texas at Dallas

UNITED STATES

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John Louie

Professor

University of Nevada Reno

UNITED STATES

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Sascha Marton

GERMANY

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David Bolton

University of Texas at Austin

UNITED STATES

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Peter M. Shearer

University of California

UNITED STATES

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Srisharan Shreedharan

Utah State University

UNITED STATES

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Zachary Ross

Assistant Professor of Geophysics

California Institute of Technology

UNITED STATES

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Karianne J. Bergen

UNITED STATES

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David Lumley

Professor, Green Chair in Geophysics

University of Texas at Dallas

UNITED STATES

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Calum John Chamberlain

Senior Lecturer in Earth Sciences

Victoria University of Wellington

NEW ZEALAND

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Gregory McLaskey

Assistant Professor

Cornell University

UNITED STATES

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Stephen Arrowsmith

Professor

Southern Methodist University

UNITED STATES

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Daniel Trugman

Research Interests

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Articles (16)

Separating Injection‐Driven and Earthquake‐Driven Induced Seismicity by Combining a Fully Coupled Poroelastic Model With Interpretable Machine Learning

High‐Frequency Ground Motions of Earthquakes Correlate With Fault Network Complexity

A High-Precision Earthquake Catalog for Nevada

Fault Roughness at Seismogenic Depths and Links to Earthquake Behavior

AutoTerm: an automated pipeline for glacier terminus extraction using machine learning and a “big data” repository of Greenland glacier termini

Spectral Characteristics of Hydraulic Fracturing-Induced Seismicity Can Distinguish between Activation of Faults and Fractures

A Real-Time and Data-Driven Ground-Motion Prediction Framework for Earthquake Early Warning

The Rocks That Did Not Fall: A Multidisciplinary Analysis of Near‐Source Ground Motions From an Active Normal Fault

GrowClust3D.jl: A Julia Package for the Relative Relocation of Earthquake Hypocenters Using 3D Velocity Models

Mapping glacier basal sliding applying machine learning

Coherent Spatial Variations in the Productivity of Earthquake Sequences in California and Nevada

Unraveling the Evolution of an Unusually Active Earthquake Sequence Near Sheldon, Nevada

Big Data Seismology

Preface to the Focus Section on Big Data Problems in Seismology

Improved Stress Drop Estimates for M 1.5 to 4 Earthquakes in Southern California From 1996 to 2019

The High‐Frequency Signature of Slow and Fast Laboratory Earthquakes

Collaborators (12)

Nadine Igonin

John Louie

Sascha Marton

David Bolton

Peter M. Shearer

Srisharan Shreedharan

Zachary Ross

Karianne J. Bergen

David Lumley

Calum John Chamberlain

Gregory McLaskey

Stephen Arrowsmith

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