TACO Conference 2023

Taming Complexity in Materials (TACO): Synergies between Experiment and Modeling

Group photo of the TACO Conference 2023 “TAming COmplexity in Materials: Synergies between Experiment and Modeling” on the terrace of the TUtheSky room. In the background, a taste of the skyline of Vienna is visible.

Program

A PDF of the program can be downloaded here.

The Book of Abstracts can be downloaded here.

Impressions

TACO-Conference-2023_Group-photo_0624-min

Conference photo of the TACO Conference 2023 "TAming COmplexity in Materials: Synergies between Experiment and Modeling"

Boris Kozinsky from Harvard University gives his invited talk about "Symmetry Constraints in Machine Learning Models of Electronic and Atomic Interactions".

Georg Kresse from TACO subproject P03 delivers his presentation about "Learning Differences and Derivatives: Efficient ML for Materials".

Johannes Kästner opens the second conference day with an invited talk about "Gaussian‐Moment Neural Networks Provide Transferable and Uniformly Accurate Interatomic Potentials".

Andreas Grüneis during his presentation entitled "Towards Chemical Accuracy for Surface Chemistry Using Coupled‐Cluster Theory".

Ralf Drautz gives an invited talk about "Atomic Cluster Expansion for a Unified Approach to Machine Learning Interatomic Potentials".

Jonas Köhler chose a short title for his invited talk: "Boltzmann Generators".

Andreas Kretschmer from TU Wien gives a contributed talk on "Encoding the Electronic Density of States for Machine Learning of Mechanical Properties in Transition Metal Carbides".

Alberto Tampieri fom TACO subproject P10 presents the "Liquid‐Phase Catalytic Oxidation of Alcohols over Spinel Oxides".

Thomas Haunold from TACO subproject P08 talks about the "Surface Hydroxylation of Ultrathin Co3O4(111) Films: In Situ NAP‐XPS and DFT Studies".

Prominent conference participants enjoying the skyline of Vienna from TUtheSky.

Intense discussions during the poster session on Monday evening.

Tanja Cuk delivering her invited talk about "Resolving Catalytic Mechanism at an Electrode Surface: Thermodynamics and Kinetics of Reaction Steps".

Pablo Montero from TACO subproject P12 delivers his engaging talk about "Ab Initio Machine Learning Simulations of Water: From Bulk to Interfaces".

Michele Riva from TACO subproject P02 deals with "Surfaces of La0.8Sr0.2MnO3 at the Atomic Scale".

The audience pays attention to Martin Setvin during his invited talk about "Solving Surface Structures by a Combination of STM/AFM and Machine‐Learning Methods".