Paving the road towards automated homogeneous catalyst design

Kalikadien, A.V.; Mirza, Adrian; Hossaini, Aydin Najl; Sreenithya, Avadakkam; Pidko, E.A.

doi:10.1002/cplu.202300702

Paving the road towards automated homogeneous catalyst design

Title

Paving the road towards automated homogeneous catalyst design

Author

Kalikadien, A.V. (TU Delft ChemE/Inorganic Systems Engineering)
Mirza, Adrian (Student TU Delft)
Hossaini, Aydin Najl (Student TU Delft)
Sreenithya, Avadakkam (Student TU Delft)
Pidko, E.A. (TU Delft ChemE/Inorganic Systems Engineering)

Date

2024

Abstract

In the past decade, computational tools have become integral to catalyst design. They continue to offer significant support to experimental organic synthesis and catalysis researchers aiming for optimal reaction outcomes. More recently, data-driven approaches utilizing machine learning have garnered considerable attention for their expansive capabilities. This Perspective provides an overview of diverse initiatives in the realm of computational catalyst design and introduces our automated tools tailored for high-throughput in silico exploration of the chemical space. While valuable insights are gained through methods for high-throughput in silico exploration and analysis of chemical space, their degree of automation and modularity are key. We argue that the integration of data-driven, automated and modular workflows is key to enhancing homogeneous catalyst design on an unprecedented scale, contributing to the advancement of catalysis research.

Subject

automation
catalysis
cheminformatics
machine learning
quantum chemistry

To reference this document use:

http://resolver.tudelft.nl/uuid:30cc5e36-4388-4cd5-b158-cb8eb0927aba

DOI

https://doi.org/10.1002/cplu.202300702

ISSN

2192-6506

Source

ChemPlusChem

Part of collection

Institutional Repository