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Article about Machine Learning for Exploring Small Polaron Configurational Space Published in npj Computational Materials
Taming complexity in polaron configurational space: TACO scientists present a new machine-learning approach to accelerate polaron distribution calculation in recently published npj Computational Materials publication.
Article about Machine-Learning Enhanced Global Optimisation of an Ultrathin Tin Oxide Film Structure in Angewandte Chemie Ranked in Top 10 % of Articles
A collaboration articles of our colleagues of P02 was accepted into Angewandte Chemie and additionally ranked in the top 10 % of articles. Congratulations!
SFB TACO is Project of the Week in scilog
This week, SFB TACO is featured as project of the week in scilog -- the online magazine of the Austrian Science Fund FWF.
New High-Impact Publication for P04
Our colleagues of project 04 (in collaboration with P02 and P07) published a new high-impact paper in Science Advances. Congratulations!
AIP Scilight for TACO paper
A paper of subproject P02 was chosen as a AIP Scilight. Congratulations to the authors.
Reaching Chemical Accuracy in ab initio Simulations of Complex Materials
The talk given by Andreas Grüneis (TU Wien, Institute of Materials Chemistry) at the Kickoff Meeting is now online on the TACO YouTube channel.