Active Materials Exploration and Characterization with Bayesian Optimization
The eighth TACO Colloquim given by Patrick Rinke from Aalto University, Espoo, Finland
Tag: TACO Colloquim
Recent developments in Hard X-ray Photoelectron Spectroscopy and Combination with Theoretical Approaches
The seventh TACO Colloquim given by Anna Regoutz from University College London, UK
Materials Science in the Information Age
The sixth TACO Colloquim given by Christof Wöll from Karlsruhe Institute of Technology, Germany
Data-efficient and physics-inspired machine learning models to treat complex catalyst materials and reaction networks
The fifth TACO Colloquim given by Mie Andersen from Aarhus Institute of Advanced Studies and Center of Interstellar Catalysis, Aarhus University, Denmark
Selective Catalytic Oxidation over Cobalt-based Spinel and Perovskite Nanoparticles
The fourth TACO Colloquim given by Martin Muhler from Ruhr-Universität Bochum, Germany
Machine Learning in Materials Science and Electronic Structure Theory
The third TACO Colloquim given by Kieron Burke from UC Irvine, CA, US
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.