Все публикации

0:43:13

David Kubicka: The Peculiar Role of Supports in the Hydrogenation of Biomass-Derived Oxygenates

0:50:55

Xavier Gonze: Electron-Phonon Interaction: Band-Gap Renormalization & Polaron Models

0:40:38

Greg Rohrer: Modifying SrTiO3 Surfaces to Maximize Photochemical Water Splitting

0:45:04

Daniel Boese: Intermolecular Interactions: Surfaces, Molecules, and Molecular Crystals

0:31:29

Kieron Burke: Electronic Structure Calculation: Past, Present, and Future

0:49:08

Mariana Rossi: Weakly Bound Materials: Competing Energy Scales, Quantum Effects, & Machine Learning

0:48:02

Julia Stähler: How hybrid excitons suppress charge separation: ultrafast, but delayed

0:08:47

Alberto Tampieri: Combustion Synthesis of Nanocrystalline Spinel Oxides

0:41:46

Mira Todorova: Insights into electrochemical solid/liquid interfaces under potential control

0:37:58

Edvin Lundgren: Surface-Sensitive Studies of the Electrolyte-Electrode Interface

0:42:06

Gianfranco Pacchioni: A Few Questions About Single Atom Catalysts: When Theory Helps

0:01:10

KinderTUni 2023: Workshop 'Was ist Energie?'

0:51:23

Thomas Pock: Total Variation for Image Processing

0:42:12

Kristian Sommer Thygesen (DTU): Data-Driven Materials Design

0:02:26

Andreas Grüneis: Chemical accuracy for complex oxides

0:55:35

Michail Stamatakis: Complexity in Heterogeneous Catalysis and Kinetic Monte Carlo Simulation

0:51:38

Alessandro Fortunelli: Mechanisms of the Oxygen Evolution Reaction on NiFe2O4 and CoFe2O4

0:45:30

Nuria Lopez: Dynamic Metal Charge States in Single Atom Catalysis

0:44:58

Marialore Sulpizi: Structure and dynamics of solid/liquid interfaces from atomistic simulations

0:50:57

Ferdi Schüth: Mechanochemical and Mechanocatalytic Reactions in Ball Mills – from Voodoo to Science

0:44:07

Patrick Rinke: Active Materials Exploration and Characterization with Bayesian Optimization

0:03:38

Michele Reticcioli: Competing electronic states emerging on polar surfaces (NatCommun)

0:56:25

Anna Regoutz: Recent Developments in Hard X-ray Photoelectron Spectroscopy and Theory

0:42:11

Mie Andersen: Data-efficient & physics-inspired machine-learning models for catalysis modelling