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Jason Myatt

Professor

Engineering

Electrical and Computer Engineering

About Me

Dr. Myatt received a B.Sc. (Hons) in Physics from Warwick University in the United Kingdom in 1992, and a Ph.D. in Theoretical Physics from the University of Alberta, Canada in 1997. He did his postdoctoral work as a CIES and Marie Curie Fellow in the theoretical physics institute (CPHT) at the Ecole Polytechnique in France. He joined the Laboratory for Laser Energetics at the University of Rochester in New York in 2001, becoming a Senior Scientist and leader of the plasma physics group. In this role he led the development of numerical models with the aim of understanding and controlling laser-matter interactions in a range of areas including high-energy-density physics, inertial confinement fusion, and hard x-ray and secondary particle production. He has been instrumental in the design of many experiments conducted on the Omega Laser Facility at Rochester, and more recently at the National Ignition Facility – the world’s most powerful laser, located at the Lawrence Livermore National Laboratory. In September 2017 he joined the faculty at the University of Alberta as professor of electrical and computer engineering. Dr. Myatt has authored or co-authored over 100 peer-reviewed scientific papers and is a frequent invited speaker at the annual meeting of the American Physical Society, division of plasma physics. He serves as associate editor for the American Institute of Physics’ journal Physics of Plasmas.


Research

Research Interests

  • Fusion energy
  • Inertial confinement fusion and magnetized target fusion
  • Experimental design and analysis
  • High and ultra-high intensity laser-matter interactions
  • Laser-plasma instabilities
  • X ray and energetic particle production
  • High field physics
  • Plasmonics
  • Computational methods in plasma physics
  • Plasma fluid and kinetic descriptions
  • Multiscale modeling
  • Numerical solution to nonlinear and coupled wave equations in the short wavelength, high frequency regime
  • High performance computing
  • Algorithm development
  • Visualization of scientific data