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Accelerating kinetic plasma simulations with machine-learning-generated initial conditions
Andrew T. Powis
, Doménica Corona Rivera
, Alexander Khrabry
,
Igor D. Kaganovich
Plasma Physics Lab
Andlinger Center for Energy & the Environment
Research output
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peer-review
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Engineering
Initial Condition
100%
Learning System
100%
Initial Value
33%
Quasi Steady State
33%
Microelectronics
33%
Computer Aided Engineering
33%
Operating Frequency
33%
Operating Pressure
33%
Steady Solution
33%
Continuous Data
33%
Plasma Technology
33%
Convolutional Neural Network
33%
Computer Aided Design
33%
Digital Twin
33%
Chemical Engineering
Learning System
100%
Plasma Technology
33%
Neural Network
33%
Digital Twin
33%
Biochemistry, Genetics and Molecular Biology
Blood Plasma
100%
Dynamics
20%
Steady State
20%
Solution and Solubility
20%
Keyphrases
Device Operating Frequency
50%
Computer-aided Engineering
50%