Peter Norgaard
Peter Norgaard studied Mechanical & Aerospace engineering at the University of Washington and then Princeton University. His undergraduate and graduate research focused on experimental and computational plasma physics, particularly applications to magnetic confinement nuclear fusion. He also studied and worked in the field of numerical methods for ordinary and partial differential equations. At Google, Peter works on the inverse problem of plasma state reconstruction from sparse measurements using Bayesian inference.
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Neural general circulation models for weather and climate
Dmitrii Kochkov
Janni Yuval
Jamie Smith
Griffin Mooers
Milan Kloewer
James Lottes
Peter Dueben
Samuel Hatfield
Peter Battaglia
Alvaro Sanchez
Matthew Willson
Nature, 632 (2024), pp. 1060-1066
OVERVIEW OF C-2W: HIGH TEMPERATURE, STEADY-STATE BEAM-DRIVEN FIELD-REVERSED CONFIGURATION PLASMAS
Rob von Behren
TAE
Tom Madams
William D Heavlin
Nuclear Fusion (2021)
Multi-instrument Bayesian reconstruction of plasma shape evolution in C-2W experiment
Erik Trask
Hiroshi Gota
Jesus Romero
Rob von Behren
Tom Madams
Physics of Plasmas (2021)
Fusion Plasma Reconstruction
Nathan Neibauer
Rob von Behren
(2019)
The Plasma Debugger
Erik Granstedt
Erik Trask
Hiroshi Gota
Jesus Romero
Matthew Thompson
Roberto Mendoza
Tom Madams
Yair Carmon
(2018)
Application of Bayesian inference for reconstruction of FRC plasma state in C-2W
Erik Trask
Hiroshi Gota
Jesus Romero
Matthew Thompson
Tom Madams
Yair Carmon
(2018)
