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Engineering and Technology

D-Index
67
Citations
17115
World Ranking
1299
National Ranking
426

Overview

Paul A. Johnson is affiliated with Los Alamos National Laboratory in the United States. Their research primarily focuses on earthquake and tectonic studies within the broader field of Earth and Planetary Sciences, encompassing multiple subfields including Geophysics and Artificial Intelligence.

The scientist's work spans a range of topics, notably:

  • earthquake and tectonic studies
  • Seismology and Earthquake Studies
  • Seismic Waves and Analysis
  • Earthquake Detection and Analysis
  • High-pressure geophysics and materials
  • Seismic Imaging and Inversion Techniques
  • Advanced Chemical Physics Studies

Paul A. Johnson has contributed articles to several frequently appearing publication venues, including:

  • Geophysical Research Letters
  • arXiv (Cornell University)
  • Journal of Geophysical Research Solid Earth
  • Nature Communications
  • Research Square (Research Square)

A selection of recent papers authored or co-authored by them includes:

  • Laboratory earthquake forecasting: A machine learning competition, 2021, Proceedings of the National Academy of Sciences
  • Probing Slow Earthquakes With Deep Learning, 2020, Geophysical Research Letters
  • Machine Learning Developments and Applications in Solid-Earth Geosciences: Fad or Future?, 2023, Journal of Geophysical Research Solid Earth
  • Imaging Stress and Faulting Complexity Through Earthquake Waveform Similarity, 2020, Geophysical Research Letters
  • An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in Cascadia, 2020, Nature Communications

The scientist frequently collaborates with several co-authors, including:

  • Christopher Johnson
  • R. A. Guyer
  • Bertrand Rouet-Leduc
  • Claudia Hulbert
  • Chris Marone

The intersection of geophysics and machine learning is a notable aspect of their research, as reflected in published works focusing on earthquake forecasting and slow earthquake phenomena using advanced data-driven approaches.

Best Publications

  • Machine learning for data-driven discovery in solid Earth geoscience

    Karianne J. Bergen;Karianne J. Bergen;Paul A. Johnson;Maarten V. de Hoop;Gregory C. Beroza

  • Nonlinear Mesoscopic Elasticity: Evidence for a New Class of Materials

    Robert A. Guyer;Paul A. Johnson

  • Nonlinear Elastic Wave Spectroscopy (NEWS) Techniques to Discern Material Damage, Part I: Nonlinear Wave Modulation Spectroscopy (NWMS)

    K. E.-A. Van Den Abeele;P. A. Johnson;A. Sutin

  • Oncolytic herpes simplex virus vector with enhanced MHC class I presentation and tumor cell killing.

    Tomoki Todo;Robert L. Martuza;Samuel D. Rabkin;Paul A. Johnson

  • Dynamic nonlinear elasticity in geomaterials

    L. A. Ostrovsky;L. A. Ostrovsky;P. A. Johnson

  • Nonlinear dynamics, granular media and dynamic earthquake triggering

    Paul A. Johnson;Xiaoping Jia

  • Nonlinear Elastic Wave Spectroscopy (NEWS) Techniques to Discern Material Damage, Part II: Single-Mode Nonlinear Resonance Acoustic Spectroscopy

    K. E.-A. Van Den Abeele;J. Carmeliet;J. A. Ten Cate;P. A. Johnson

  • Elastic-wave stimulation of oil production; a review of methods and results

    Igor A. Beresnev;Paul A. Johnson

  • Micro-damage diagnostics using Nonlinear Elastic Wave Spectroscopy (NEWS)

    Koen E-A. Van Den Abeele;Alexander Sutin;Jan Carmeliet;Paul A. Johnson

  • Nonlinear ground-motion amplification by sediments during the 1994 Northridge earthquake

    Edward H. Field;Paul A. Johnson;Paul A. Johnson;Igor A. Beresnev;Yuehua Zeng

  • Slow dynamics and anomalous nonlinear fast dynamics in diverse solids.

    Paul Johnson;Alexander Sutin

  • Resonance and elastic nonlinear phenomena in rock

    Paul A. Johnson;Bernard Zinszner;Patrick N. J. Rasolofosaon

  • Nonlinear elasticity and stress-induced anisotropy in rock

    P. A. Johnson;P. N. J. Rasolofosaon

  • Effects of acoustic waves on stick–slip in granular media and implications for earthquakes

    Paul A. Johnson;Heather Savage;Heather Savage;Matt Knuth;Matt Knuth;Joan Gomberg

  • Machine Learning Predicts Laboratory Earthquakes

    Bertrand Rouet‐LeDuc;Bertrand Rouet‐LeDuc;Claudia L. Hulbert;Nicholas Lubbers;Nicholas Lubbers;Kipton M. Barros

  • Applying nonlinear resonant ultrasound spectroscopy to improving thermal damage assessment in concrete

    C. Payan;V. Garnier;J. Moysan;P. A. Johnson

  • On the quasi-analytic treatment of hysteretic nonlinear response in elastic wave propagation

    Koen E. A. van den Abeele;Paul A. Johnson;Robert A. Guyer;Katherine R. McCall

  • Seismology: dynamic triggering of earthquakes.

    Joan Gomberg;Paul Johnson

  • Determination of third order elastic constants in a complex solid applying coda wave interferometry

    C. Payan;V. Garnier;J. Moysan;P. A. Johnson

  • Nonlinear resonant ultrasound spectroscopy (NRUS) applied to damage assessment in bone.

    Marie Muller;Alexander Sutin;Robert Guyer;Maryline Talmant

  • Nonlinear Mesoscopic Elasticity

    Robert A. Guyer;Paul A. Johnson

Frequent Co-Authors

Robert A. Guyer
Robert A. Guyer Los Alamos National Laboratory
Jan Carmeliet
Jan Carmeliet ETH Zurich
Chris Marone
Chris Marone Pennsylvania State University
Pascal Laugier
Pascal Laugier Sorbonne University
Thomas J. Shankland
Thomas J. Shankland Los Alamos National Laboratory
Joan Gomberg
Joan Gomberg University of Washington
Jonny Rutqvist
Jonny Rutqvist Lawrence Berkeley National Laboratory
Timothy J. Kneafsey
Timothy J. Kneafsey Lawrence Berkeley National Laboratory
Bezalel C. Haimson
Bezalel C. Haimson University of Wisconsin–Madison
Jens Birkholzer
Jens Birkholzer Lawrence Berkeley National Laboratory

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