Machine Learning in Materials Science and Electronic Structure Theory
The third TACO Colloquim given by Kieron Burke from UC Irvine, CA, US
Category: Past Events
Polyol hydrogenation to fuel components: Reaction kinetics study and catalyst development
A seminar talk given by Markus Latschka from the Institute of Materials Chemistry, TU Wien
Catalytic hydrogenation of CO2 on sulfur-tolerant catalysts
A seminar talk given by Gernot Pacholik from the Institute of Materials Chemistry, TU Wien
Decoding Reactive Structures in Catalysts by Machine Learning Analysis of Spectra
The second TACO Colloquim given by Anatoly I. Frenkel from Stony Brook University, NY, US
Predicting material properties with the help of machine learning
The first TACO Colloquim given by Bingqing Cheng from IST Austria, Klosterneuburg, Austria.
How do computational catalysis and experiment complement each other?
From microscopic effects to macroscopic outcomes
A seminar talk given by Alexander Genest from the Institute of Materials Chemistry, TU Wien
Understanding the application-based performance of 2D and 3D composites
A seminar talk given by Qasair Maqbool from the Institute of Materials Chemistry, TU Wien
Dopants and Polarons investigated by combined STM/AFM
A seminar talk given by Jesús Redondo, Charles University of Prague (Czech Republic)
Electrostatic Effects in Nanoscale Ferroelectrics
A seminar talk given by Chiara Gattinoni, London South Bank University (UK)
Particle design for photocatalytic and photoelectrochemical water splitting
A seminar talk given by Simone Pokrant, Functional Materials, Chemistry and Physics of Materials, Paris-Lodron Universität Salzburg