Data-driven approaches to smartly engineered porous materials

This webinar by Prof. Maciej Haranczyk will take the following topics:

- Applications of machine learning to accelerate nanoporous materials discovery and design
- Recent examples of applications to metal-organic frameworks and nanoporous clays for storage, separations and catalysis
- Survey of available datasets and structure representations
- High-throughput computational screening involving structure-property models
- Data-driven experimentation to explore the material design space

It will also be streamed through Youtube and the recording will be available later on, at the IMDEA Materials Institute website (https://materials.imdea.org/).

00:59:00