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D-Index & Metrics

Engineering and Technology

D-Index
67
Citations
26855
World Ranking
1266
National Ranking
410

Overview

James P. Crutchfield is affiliated with the University of California, Davis in the United States. Their research primarily spans the fields of Physics and Astronomy as well as Computer Science. Within these fields, their work extensively covers subfields such as Statistical and Nonlinear Physics, Artificial Intelligence, Atomic and Molecular Physics, and Optics, along with Cognitive Neuroscience and Computational Theory and Mathematics.

Crutchfield's research topics include:

  • Advanced Thermodynamics and Statistical Mechanics
  • Neural dynamics and brain function
  • Quantum Mechanics and Applications
  • Neural Networks and Applications
  • Quantum Information and Cryptography
  • Stochastic dynamics and bifurcation
  • Statistical Mechanics and Entropy

Their recent papers demonstrate a strong focus on earthquake prediction through machine learning techniques, thermodynamic computing, and the foundational aspects of complex systems. Some notable publications include:

  • Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning, 2021, Earth and Space Science
  • Nowcasting Earthquakes by Visualizing the Earthquake Cycle with Machine Learning: A Comparison of Two Methods, 2021, Surveys in Geophysics
  • Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Information Processing, 2022, Journal of Statistical Physics
  • The Hidden Fragility of Complex Systems -- Consequences of Change, Changing Consequences, 2020, arXiv (Cornell University)
  • Shannon Entropy Rate of Hidden Markov Processes, 2021, Journal of Statistical Physics

Crutchfield frequently publishes in several venues, notably:

  • arXiv (Cornell University)
  • Entropy
  • Physical Review. E
  • Journal of Statistical Physics
  • Chaos: An Interdisciplinary Journal of Nonlinear Science

Their collaboration network includes repeated coauthorship with researchers such as Kyle J. Ray, Alexander B. Boyd, Alexandra M. Jurgens, Fabio Anzà, and Adam Rupe. These partnerships reflect interdisciplinary intersections within physics, computational theory, and machine learning.

Best Publications

  • Inferring statistical complexity.

    James P. Crutchfield;Karl Young

  • The calculi of emergence: computation, dynamics and induction

    James P. Crutchfield

  • Neutral evolution of mutational robustness.

    Erik van Nimwegen;James P. Crutchfield;Martijn Huynen

  • Equations of Motion from a Data Series.

    James P. Crutchfield;Bruce S. McNamara

  • Computational Mechanics: Pattern and Prediction, Structure and Simplicity

    Cosma Rohilla Shalizi;Cosma Rohilla Shalizi;James P. Crutchfield

  • Revisiting the Edge of Chaos: Evolving Cellular Automata to Perform Computations

    Melanie Mitchell;Peter T. Hraber;James P. Crutchfield

  • Fluctuations and simple chaotic dynamics

    J.P. Crutchfield;J.D. Farmer;B.A. Huberman

  • Quantum automata and quantum grammars

    Cristopher Moore;James P. Crutchfield

  • Measures of statistical complexity: Why?

    David P Feldman;James P Crutchfield;James P Crutchfield

  • Evolving cellular automata to perform computations: mechanisms and impediments

    Melanie Mitchell;James P. Crutchfield;Peter T. Hraber

  • Between order and chaos

    James P. Crutchfield

  • Regularities unseen, randomness observed: levels of entropy convergence.

    James P. Crutchfield;David P. Feldman

  • Noise phenomena in Josephson junctions

    B. A. Huberman;J. P. Crutchfield;N. H. Packard

  • Low-dimensional chaos in a hydrodynamic system

    A. Brandstäter;J. Swift;Harry L. Swinney;A. Wolf

  • The evolution of emergent computation

    James P. Crutchfield;Melanie Mitchell

  • Symbolic dynamics of noisy chaos

    J.P. Crutchfield;N.H. Packard

  • Chaotic States of Anharmonic Systems in Periodic Fields

    B. A. Huberman;J. P. Crutchfield

  • ON DETERMINING THE DIMENSION OF CHAOTIC FLOWS

    Harold Froehling;J.P. Crutchfield;Doyne Farmer;N.H. Packard

  • Phenomenology of Spatio-Temporal Chaos

    James P. Crutchfield;Kunihiko Kaneko

  • Are attractors relevant to turbulence

    James P. Crutchfield;Kunihiko Kaneko

  • Evolution of Emergent Computation

    James P. Crutchfield;Melanie Mitchell

Frequent Co-Authors

Melanie Mitchell
Melanie Mitchell Santa Fe Institute
Erik van Nimwegen
Erik van Nimwegen University of Basel
Christopher J. Ellison
Christopher J. Ellison University of Minnesota
Michael L. Roukes
Michael L. Roukes California Institute of Technology
Peter Hraber
Peter Hraber Los Alamos National Laboratory
Vlatko Vedral
Vlatko Vedral University of Oxford
J. Doyne Farmer
J. Doyne Farmer University of Oxford
Cristopher Moore
Cristopher Moore Santa Fe Institute
Mehran Mesbahi
Mehran Mesbahi University of Washington

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