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SFB TACO

SFB TACO

Taming Complexity together

 

UPCOMING COLLOQUIUM: October 23th — Insights into electrochemical solid/liquid interfaces under potential control from first principles and atomistic calculations by Mira Todorova
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Month: July 2022

28 Jul 22 taco-admin

Summer School on “Machine Learning for Materials Hard and Soft” Was a Great Success

The summer school was co-organized by TACO's Christoph Dellago (P12) and took place between July 11th and 22nd.
News, People
0
15 Jul 22 taco-admin

Ulrike Diebold New Vice-President of ÖAW

TACO speaker Ulrike Diebold started her new position as vice president of the Austrian Academy of Science two weeks ago. Congratulations!
News, People
0
14 Jul 22 taco-admin

Ulrike Diebold Gave
a Plenary Talk at SSI23

Our TACO coordinator, Ulrike Diebold, gave an invited plenary talk at the SSI23 – the International Conference on Solid State Ionics – on July 20th.
(updated)
News, People
0
11 Jul 22 taco-admin

Gareth Parkinson named a
Fellow of AVS

Gareth Parkinson (PI of P04) was elected as AVS Fellow. Congratulations! (updated)
News, People
0
6 Jul 22 taco-admin

Seeing is Believing:
Atomic-Scale Imaging of Catalysts under Reaction Conditions

A seminar talk given by Irene Groot of the Leiden Institute of Chemistry, Universiteit Leiden, The Netherlands
Past Events, TACO Talk
0
4 Jul 22 taco-admin

Patent for Karin Föttinger for Development of New CO2 Conversion Catalyst

TACO PI Karin Föttinger (P10) and her students developed a new catalyst (MoS2) that can form methanol out of CO2. This could make industrial processes more climate friendly.
News, People
0

Recent Posts

  • Surface dynamics under reaction conditions
  • Two-dimensional photoactive frameworks:
    towards dynamic covalent chemistry and exciton imaging
  • Can we predict the properties of single-atom catalysts?
  • Insights into electrochemical solid/liquid interfaces under potential control from first principles and atomistic calculations
  • Studying 2D metal-organic frameworks on weakly-interacting surface

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      • Machine-learned potentials (P03)
      • Atomic-scale catalysis (P04)
      • Polarons, Computer vision & ML (P07)
      • Surface catalysis (P08)
      • Structure prediction (P09)
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