1 citations · 1 across the 3 of their papers we have counts for
4 papers
Native implementation of the machine-learned Skala exchange-correlation functional in CP2K: Unified one-centre reconstruction for molecular and condensed-phase calculations
Johann Pototschnig, Franz Pöschel, Jürg Hutter +1
We implement the machine-learned Skala exchange-correlation (XC) functional natively in CP2K using its Gaussian and plane-wave (GPW) and Gaussian and augmented-plane-wave (GAPW) me…
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…
Streaming Data in HPC Workflows Using ADIOS
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru +12
The "IO Wall" problem, in which the gap between computation rate and data access rate grows continuously, poses significant problems to scientific workflows which have traditionall…
Continual learning autoencoder training for a particle-in-cell simulation via streaming
Patrick Stiller, Varun Makdani, Franz Pöschel +4
The upcoming exascale era will provide a new generation of physics simulations. These simulations will have a high spatiotemporal resolution, which will impact the training of mach…