A deep learning-based electrocatalyst modeling system for sustainable energy production

(2:36)

Modelling a detailed kinetic mechanism for electrocatalytic reduction of CO2 - 39th ISOC DPA

(17:24)

Electrocatalyst Design:Machine Learning for Renewable Energy

(15:9)

Multiscale Models in Computational Electrocatalysis: Stability \u0026 Activity of 2-Dimensional Materials

(1:1:45)

A paradigm shift in electrocatalyst synthesis webinar

(43:35)

Micro Kinetic Modeling(MKM)- Catalysis Microanalysis Package (CatMAP) for electrocatalyst screening

(30:41)

Modelling Electrocatalyst Materials for Clean Energy Conversion Reactions

(32:51)

Mie Andersen: Data-efficient \u0026 physics-inspired machine-learning models for catalysis modelling

(42:11)

36. Prof. Karsten Reuter - Implicit Solvation and Double Layer Modeling for Electrocatalysis

(1:31:31)

Accelerating the development of electrocatalyst

(1:12)

Accelerating the design-build-test-learn cycle for electrocatalysis

(32:8)

Scalable High-Throughput Electrocatalyst Screening

(24:59)

Fuel Cell Electrocatalyst Design

(14:41)

First-principles kinetic modelling for catalysis and materials science

(25:16)

Designing Enhanced One-Dimensional Electrocatalysts...

(7:54)

Electrochemistry with Model Thin Film Polymer Electrolytes

(1:7:14)

How a strong EU community accelerates electrocatalyst research

(30:53)

In situ spectroscopic studies of metal oxide electrodes during water oxidation

(44:)

5. Prof. Joerg Libuda - Model Interfaces in Surface Science and Electrochemistry (July 1, 2021)

(2:9:47)

Carbon-Quantum-Dots-Loaded Ruthenium Nanoparticles as an Electrocatalyst for Hydrogen Production

(2:3)