High Performance Computing, Modeling, and Data Analytics

The scientific impact of data collected in a neutron scattering experiment is only realized in its analysis, interpretation (i.e., modeling), and publication and presentation to the public. The goal of the High-performance Computing and Data Analytics (HPCDA) Initiative is to drive scientific excellence by leveraging the rapidly developing opportunities in computing, machine learning and data analytics, and applying them to neutron scattering data.

The initiative’s efforts built on the work of the former Center for Accelerating Materials Modeling, focus on (1) accelerating data analysis and modeling of single experiments and across data sets for families of materials and (2) experiment planning for the most efficient use of neutron instrumentation and beamtime.