Mar 30, 2018

NOMAD at DPG and EPS 2018 Meetings


The 2018 Joint Conference of the Condensed Matter Divisions of the European Physical Society (EPS) and the German Physical Society (DPG) was held at the Technical University in Berlin from March 11-16, 2018.

Posted by: kylie

It was the largest physics meeting to be organized in Europe to date, with 6,420 participants attending. NOMAD researchers organized several symposia and presented more than 50 original contributions. This included several plenary and invited talks:

  • Claudia Draxl gave a plenary talk with the topic, “A significant raw material of the 21st century”.
  • Angel Rubio gave a plenary talk on “How photons change the properties of matter: QED-TDDFT an ab initio framework for modeling Light-Matter interaction”.
  • Stefano Curtarolo gave an invited talk on “Novel high-entropy carbides discovered by synthesizability descriptors” at the “Topical Session on Big Data in Materials Science - Managing and exploiting the raw material of the 21st century”.
  • Luca Ghiringhelli gave an invited talk on “Novel materials discovery: big-data-analytics methods and infrastructure for building maps of materials” at the Symposium on “Information Driven Materials Research”.
  • Alessandro De Vita gave an invited talk on “Accurate and fast machine learning n-body force fields”.

 

Claudia Draxl, Plenary talk to over 700 attendees

Contributed talks were given by:

  • Santiago Rigamonti, HU Berlin, Cluster expansions with CELL: a novel python package with a focus on complex alloys
  • Martin Kuban, HU Berlin, Ab-initio study of the clathrate Ba8NixGe46−x−y y: Stability, structure, and electronic properties
  • Lauri Himanen, Patrick Rinke, and Adam Foster, AALTO, High-throughput classification and categorization of structures from atomistic simulations

Poster presentations were also made by:

  • Maria Troppenz, HU Berlin, Cluster expansions with CELL: applications to simple and complex alloys
  • Benedikt Hoock, HU Berlin, Compressed-sensing-based feature selection: defining the best model