Explanipedia

Towards Foundation Inference Models that Learn ODEs In-Context Open

M. E. Mauel, Margitta Hinz, Patrick Seifner, David Berghaus, Ramsés J. Sánchez · 2025

Ordinary differential equations (ODEs) describe dynamical systems evolving deterministically in continuous time. Accurate data-driven modeling of systems as ODEs, a central problem across the natural sciences, remains challenging, especial…

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models Open

Martin Hinz, M. E. Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski , et al. · 2025

High-dimensional recordings of dynamical processes are often characterized by a much smaller set of effective variables, evolving on low-dimensional manifolds. Identifying these latent dynamics requires solving two intertwined problems: di…

Bounce-averaged fluid equations for interchange dynamics in a dipole-confined plasma Open

Changzhi Jiang, Lipeng Wang, Weike Ou, Tianchun Zhou, Bo Li , et al. · 2025

The drift dynamics of electrons confined in a dipole field are described by the evolution of the bounce-averaged particle distribution with adiabatic invariants on time scales longer than the particle's bounce period. The bounce-averaged f…

Announcement: Physics of Plasmas Early Career Collection 2024 Open

M. E. Mauel · 2025

Preface to special topic: Plasma physics of the Sun in honor of Eugene Parker Open

M. E. Mauel, S. D. Bale, N. J. Fox, D. J. McComas, M. Velli · 2025

This Special Topic commemorates the legacy of Eugene Parker and highlights new understandings of the plasma physics of the Sun resulting from the observations, plans, and analyses for the Parker Solar Probe (PSP) and Solar Orbiter (SolO) M…

Announcement: The 2023 Ronald C. Davidson Award for Plasma Physics Open

M. E. Mauel · 2024

Upon graduation, she joined LLNL as a scientist working on inertial fusion energy (IFE) and inertial confinement fusion (ICF).Callahan became a group leader for ICF/IFE target design in 2007 and associate division leader for ICF Design in …

Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak Open

Y. Wei, Ryan F. Forelli, C. Hansen, J.P. Levesque, Nhan Viet Tran , et al. · 2024

Active feedback control in magnetic confinement fusion devices is desirable to mitigate plasma instabilities and enable robust operation. Optical high-speed cameras provide a powerful, non-invasive diagnostic and can be suitable for these …

Reviewer acknowledgment for 2023 Open

M. E. Mauel · 2024

Announcement: Physics of Plasmas Early Career Collection 2023 Open

M. E. Mauel · 2024

This collection is the second highlighting many of the outstanding papers authored by the next generation of plasma physicists.Each year since 2022, top papers from all areas of plasma physics research, which were authored by early career …

Sawtooth suppression by flux pumping on HBT-EP Open

Boting Li, J.P. Levesque, G.A. Navratil, M. E. Mauel · 2024

This study examines the mechanisms underlying sawtooth suppression in the High Beta Tokamak-Extended Pulse (HBT-EP) device. It is observed that strong-intensity sawtooth activities correlate with reduced-amplitude magnetohydrodynamics (MHD…

Editorial: Preface to the 31st volume of Physics of Plasmas Open

M. E. Mauel · 2024

Each year, as one volume ends and the next begins, I cannot help but reflect on the remarkable achievements of plasma physicists the world over.The 30th volume of Physics of Plasmas contains over 800 articles from more than 3300 authors fr…

Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak Open

Y. Wei, Ryan F. Forelli, C. Hansen, J.P. Levesque, Nhan Viet Tran , et al. · 2023

Active feedback control in magnetic confinement fusion devices is desirable to mitigate plasma instabilities and enable robust operation. Optical high-speed cameras provide a powerful, non-invasive diagnostic and can be suitable for these …

Announcement: The 2022 James Clerk Maxwell Prize for Plasma Physics Open

M. E. Mauel · 2023

Announcement: The 2022 Ronald C. Davidson Award for Plasma Physics Open

M. E. Mauel · 2023

MHD mode tracking using high-speed cameras and deep learning Open

Y. Wei, J.P. Levesque, C. Hansen, M. E. Mauel, G.A. Navratil · 2023

We present a new algorithm to track the amplitude and phase of rotating magnetohydrodynamic (MHD) modes in tokamak plasmas using high speed imaging cameras and deep learning. This algorithm uses a convolutional neural network (CNN) to pred…

Disruption halo current rotation scaling on Alcator C-Mod and HBT-EP Open

A. Saperstein, R. A. Tinguely, R. Granetz, J.P. Levesque, M. E. Mauel , et al. · 2023

Asymmetric halo currents (HCs) can exert large net forces on the vacuum vessel and other components during disruptions on tokamaks. The displacements caused by these forces can then be amplified if these asymmetric forces rotate at frequen…

Announcement: Physics of Plasmas Early Career Collection 2022 Open

M. E. Mauel · 2023

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An optical-input Maximum Likelihood Estimation feedback system demonstrated on tokamak horizontal equilibrium control Open

R. N. Chandra, J.P. Levesque, Y. Wei, Boting Li, A. Saperstein , et al. · 2023

Reviewer acknowledgment for 2022 Open

M. E. Mauel · 2023

First Page

Understanding and Controlling Turbulent Mixing in a Laboratory Magnetosphere Open

M. E. Mauel · 2023

This report summarizes our most important recent research, building upon several years of productive research. This resulted in breakthroughs in our understanding of plasma confined by the strong field of a magnetic dipole, dissertations f…

Understanding and Controlling Turbulent Mixing in a Laboratory Magnetosphere Open

M. E. Mauel · 2023

This report summarizes our most important recent re search, building upon several years of productive research. This resulted in breakthroughs in our understanding of plasma confined by the strong field of a magnetic dipole, dissertations …

Editorial: Preface to the 30th volume of Physics of Plasmas Open

M. E. Mauel · 2023

First Page

Foreword to special issue: Papers from the 63rd annual meeting of the APS Division of Plasma Physics, November 8–12, 2021 Open

D. E. Hinkel, M. E. Mauel · 2022

The 63rd annual meeting of the APS Division of Plasma Physics (DPP) was held on November 8–12, 2021 in Pittsburgh at the David Lawrence Convention Center with both a live (in person) component and a virtual component. Following guidance fr…

Announcement: The 2021 Ronald C. Davidson award for Plasma Physics Open

M. E. Mauel · 2022

First Page

Reviewer acknowledgment for 2021 Open

M. E. Mauel · 2022

First Page

An Optical-Input Maximum Likelihood Estimation Feedback System Demonstrated on Tokamak Horizontal Equilibrium Control Open

Rian Chandra, J.P. Levesque, Y. Wei, Boting Li, A. Saperstein , et al. · 2022

Halo current rotation scaling in post-disruption plasmas Open

A. Saperstein, J.P. Levesque, M. E. Mauel, G.A. Navratil · 2021

Halo current (HC) rotation during disruptions can be potentially dangerous if resonant with the structures surrounding a tokamak plasma. We propose a drift-frequency-based scaling law for the rotation frequency of the asymmetric component …

A dimensionality reduction algorithm for mapping tokamak operational regimes using a variational autoencoder (VAE) neural network Open

Y. Wei, J.P. Levesque, C. Hansen, M. E. Mauel, G.A. Navratil · 2021

A variational autoencoder (VAE) is a type of unsupervised neural network which is able to learn meaningful data representations in a reduced dimensional space. We present an application of VAE in identifying the operational stability bound…

Self-organized confinement in whole-device modeling of laboratory magnetospheres Open

Bo Li, Lipeng Wang, Weike Ou, Zhenyu Zhou, Zhuoyi Li , et al. · 2021

Turbulent self-organization driven by global ideal interchange modes in a dipole-confined plasma is explored with self-consistent, whole-plasma simulations using a flux-tube averaged magnetohydrodynamic model in dipole magnetic geometry. W…

Announcement: The 2020 Ronald C. Davidson Award for Plasma Physics Open

M. E. Mauel · 2021

First Page

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