ML meets MLn: Machine learning in ligand promoted homogeneous catalysis
The benefits of using machine learning approaches in the design, optimisation and understanding of homogeneous catalytic processes are being increasingly realised. We focus on the understanding and implementation of key concepts, which serve as conduits to more advanced chemical machine learning lit...
Main Authors: | Jonathan D. Hirst, Samuel Boobier, Jennifer Coughlan, Jessica Streets, Philippa L. Jacob, Oska Pugh, Ender Özcan, Simon Woodward |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
|
Series: | Artificial Intelligence Chemistry |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2949747723000064 |
Similar Items
-
Recent advances of machine learning applications in the development of experimental homogeneous catalysis
by: Nil Sanosa, et al.
Published: (2024-06-01) -
Special Issue: “Advances in Homogeneous Catalysis”
by: Joaquín García-Álvarez
Published: (2020-03-01) -
Homogeneous, heterogeneous, and enzyme catalysis in microfluidics droplets
by: Fang Mei, et al.
Published: (2023-06-01) -
Magnetically Separable Base Catalysts: Heterogeneous Catalysis vs. Quasi-Homogeneous Catalysis
by: Raed Abu-Reziq, et al.
Published: (2012-03-01) -
Arene-Osmium(II) Complexes in Homogeneous Catalysis
by: Pascale Crochet, et al.
Published: (2021-07-01)