collaborators

5 papers

cs.DC2020

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows

Martin Uhrin, Sebastiaan P. Huber, Jusong Yu +2

Over the last two decades, the field of computational science has seen a dramatic shift towards incorporating high-throughput computation and big-data analysis as fundamental pilla…

cs.DC2020

kiwiPy: Robust, high-volume, messaging for big-data and computational science workflows

Martin Uhrin, Sebastiaan P. Huber

In this work we present kiwiPy, a Python library designed to support robust message based communication for high-throughput, big-data, applications while being general enough to be…

cond-mat.mtrl-sci2020

Materials Cloud, a platform for open computational science

Leopold Talirz, Snehal Kumbhar, Elsa Passaro +17

Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts 1) archiv…

cs.DC2020

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

Sebastiaan. P. Huber, Spyros Zoupanos, Martin Uhrin +19

The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developm…

cond-mat.mtrl-sci2016

Single-Layered Hittorf's Phosphorus: A Wide-Bandgap High Mobility 2D Material

Georg Schusteritsch, Martin Uhrin, Chris J. Pickard

We propose here a two-dimensional material based on a single layer of violet or Hittorf's phosphorus. Using first-principles density functional theory, we find it to be energetical…