Los Alamos National Laboratory
Author in the following contributions
- Utilizing neural networks to speed up coherent synchrotron radiation computations
- Accelerator system parameter estimation using variational autoencoded latent regression
- Solving the Orszag-Tang vortex magnetohydrodynamics problem with physics-constrained convolutional neural networks
- Towards latent space evolution of spatiotemporal dynamics of six-dimensional phase space of charged particle beams
- Generative deep learning for 6D phase space diagnostics via physics-constrained neural networks, physics models, and adaptive feedback
- Estimation and control of accelerator beams by latent space tuning of generative models
- Radiographic source prediction for linear induction accelerators using machine learning
- Summary of the workshop on “UED opportunities for dynamical imaging of materials”
- Early prediction of system failures at LANSCE
