4 papers
The Artificial Scientist -- in-transit Machine Learning of Plasma Simulations
Jeffrey Kelling, Vicente Bolea, Michael Bussmann +19
Increasing HPC cluster sizes and large-scale simulations that produce petabytes of data per run, create massive IO and storage challenges for analysis. Deep learning-based techniqu…
Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss--Legendre nodes
Chethan Krishnamurthy Ramanaik, Juan-Esteban Suarez Cardona, Anna Willmann +3
We formulate a data independent latent space regularisation constraint for general unsupervised autoencoders. The regularisation rests on sampling the autoencoder Jacobian in Legen…
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows
Anna Willmann, Jurjen Couperus Cabadağ, Yen-Yu Chang +7
Understanding and control of Laser-driven Free Electron Lasers remain to be difficult problems that require highly intensive experimental and theoretical research. The gap between…
Data-Driven Shadowgraph Simulation of a 3D Object
Anna Willmann, Patrick Stiller, Alexander Debus +5
In this work we propose a deep neural network based surrogate model for a plasma shadowgraph - a technique for visualization of perturbations in a transparent medium. We are substi…