Helsinki Algorithms Seminar: "Towards Data-driven Materials Science: Opportunities and Challenges" Lauri Himanen
Weekly meeting of researchers in the Helsinki area interested in the art of algorithms and algorithm design
Towards Data-driven Materials Science: Opportunities and Challenges
Computational materials science studies matter and interactions at the atomistic scale by performing simulations. These simulations can output large quantities of data in very heterogeneous formats. Gathering all of the valuable information produced by the scientists in this field into one efficiently searchable and analyzable source will accelerate the whole scientific field but is a major undertaking. The European H2020 project NOMAD (Novel Materials Discovery Laboratory) aims at providing the infrastructure and tools for tackling this problem. In this talk I will highlight some of the computational challenges that we have faced during the project.
Helsinki Algorithms Seminar is a weekly meeting of researchers in the Helsinki area interested in the art of algorithms and algorithm design, broadly interpreted to cover both theoretical ideas and algorithm engineering on concrete computing platforms. In most cases we have a presentation prepared for each meeting to communicate an idea, a recent result, work-in-progress, or demo, but this should not be at the expense of discussion and simply having fun with algorithms.
Our affiliations are with Aalto University and the University of Helsinki, and accordingly our activities alternate between the Otaniemi Campus of Aalto University and the Kumpula Campus of University of Helsinki, catalyzed by the Helsinki Institute for Information Technology HIIT, under the Algorithmic Data Analysis (ADA) programme.