Z. A. Xing

Assessing the numerical stability of physics models to equilibrium variation through database comparisons on DIII-D

Andrew Rothstein, Vikram Ailiani, Kate Krogen, Andrew Oakleigh Nelson et autres

Abstract High fidelity kinetic equilibria are crucial for tokamak modeling and analysis. Manual workflows for constructing kinetic equilibria are time consuming and subject to user error, motivating development of automated equilibrium reconstruction tools to provide accurate and consistent reconstructions for downstream physics …

us (code pays fourni par la source)

Assessing the Numerical Stability of Physics Models to Equilibrium Variation through Database Comparisons

Andrew Rothstein, Vikram Ailiani, Kate Krogen, A. O. Nelson et autres

High fidelity kinetic equilibria are crucial for tokamak modeling and analysis. Manual workflows for constructing kinetic equilibria are time consuming and subject to user error, motivating development of several automated equilibrium reconstruction tools to provide accurate and consistent reconstructions for downstream physics …

S2LNet: Review the Non-Stationarity in Multivariate Time Series Forecasting

Z. A. Xing

Transformer-based methods have achieved remarkable advances in multivariate time series forecasting for their long-range ability. However, the non-stationarity of real-world time series, make these models particularly prone to overfitting when data distribution changes over time. Recently, despite various attempts in existing studies, …

cn (code pays fourni par la source)

Automating kinetic equilibrium reconstruction for tokamak stability analysis

Z. A. Xing, D. Eldon, Andrew Oakleigh Nelson, William Eggert et autres