A5060539574- Magnetic confinement fusion research
- Nuclear reactor physics and engineering
- Electromagnetic Simulation and Numerical Methods
- Probabilistic and Robust Engineering Design
- Iron Metabolism and Disorders
- Statistical Mechanics and Entropy
- Geophysical and Geoelectrical Methods
- Plasma Diagnostics and Applications
- Complex Network Analysis Techniques
- Reservoir Engineering and Simulation Methods
- Theoretical and Computational Physics
- Advanced Control Systems Optimization
- Financial Risk and Volatility Modeling
- Ionosphere and magnetosphere dynamics
- Model Reduction and Neural Networks
- Electromagnetic Scattering and Analysis
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced Multi-Objective Optimization Algorithms
- High-Energy Particle Collisions Research
- Erythrocyte Function and Pathophysiology
- Opinion Dynamics and Social Influence
- Hemoglobinopathies and Related Disorders
- Quantum and electron transport phenomena
- Process Optimization and Integration
- Quantum, superfluid, helium dynamics
Oak Ridge National Laboratory
1997-2024
Government of the United States of America
2022
Auburn University
2021
Meharry Medical College
1997
Lawrence Berkeley National Laboratory
1997
Abstract Current profile reconstructions are obtained for high current ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mi>I</mml:mi> <mml:mi>p</mml:mi> </mml:msub> <mml:mo>≃</mml:mo> <mml:mn>550</mml:mn> </mml:mrow> </mml:math> kA) post-disruption runaway electron (RE) plateau plasmas in DIII-D. Two novel methods of measuring the RE high-current plateaus introduced and compared: localization q = 2 rational surface using visible...
We introduce a conditional pseudo-reversible normalizing flow for constructing surrogate models of physical model polluted by additive noise to efficiently quantify forward and inverse uncertainty propagation. Existing modeling approaches usually focus on approximating the deterministic component model. However, this strategy necessitates knowledge resorts auxiliary sampling methods quantifying In work, we develop directly learn generate samples from probability density functions. The...
An interpolation method to evaluate magnetic fields given unstructured, scattered data is presented. The based on the reconstruction of global field using a superposition orthogonal functions. coefficients expansion are obtained by minimizing cost function defined as L^2 norm difference between ground truth and reconstructed evaluated training data. divergence-free condition incorporated constrain in allowing achieve arbitrarily small errors divergence. exponential decay approximation error...
An interpolation method to evaluate magnetic fields given unstructured, scattered data is presented. The based on the reconstruction of global field using a superposition orthogonal functions. coefficients expansion are obtained by minimizing cost function defined as L 2 norm difference between ground truth and reconstructed evaluated training data. divergencefree condition incorporated constrain in allowing achieve arbitrarily small errors divergence. exponential decay approximation error...