Dresden 2017 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

MM: Fachverband Metall- und Materialphysik

MM 42: Topical session: Data driven materials design - high throughput

MM 42.1: Topical Talk

Mittwoch, 22. März 2017, 12:00–12:30, BAR 205

Generating and assessing data from combinatorial and high-throughput experiments for the design of new materials — •Alfred Ludwig — Institut für Werkstoffe, Ruhr-Universität Bochum, 44780 Bochum

The design of new materials is a key challenge in materials science: e.g. new materials for future energy systems are urgently needed. Thin film combinatorial materials science (CMS) enables an efficient generation of consistent and large datasets on (unexplored) multinary materials systems, which promotes the discovery and optimization of new materials. CMS comprises the fabrication and processing of thin film materials libraries by combinatorial sputter deposition processes and optional post-deposition treatments, followed by extensive high-throughput characterization of the thin film samples contained in these libraries. The large datasets which are produced by the combinatorial approach need to be analyzed with new software tools, e.g. for the rapid mapping of phase diagrams. Obtained results for ternary and quaternary systems are visualized in the form of composition-processing-structure-function diagrams, interlinking compositional data with structural and functional properties. The talk will cover and discuss examples of the combinatorial development of intermetallic materials for superalloys and thermoelectric applications as well as the development of metal oxide thin film materials libraries for solar water splitting.