In Silico Design in Homogeneous Catalysis Using Descriptor Modelling
AbstractThis review summarises the state-of-the-art methodologies used for designing homogeneous catalysts and optimising reaction conditions (e.g. choosing the right solvent). We focus on computational techniques that can complement the current advances in high-throughput experimentation, covering the literature in the period 1996-2006. The review assesses the use of molecular modelling tools, from descriptor models based on semiempirical and molecular mechanics calculations, to 2D topological descriptors and graph theory methods. Different techniques are compared based on their computational and time cost, output level, problem relevance and viability. We also review the application of various data mining tools, including artificial neural networks, linear regression, and classification trees. The future of homogeneous catalysis discovery and optimisation is discussed in the light of these developments. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Burello, E.; Rothenberg, G. In Silico Design in Homogeneous Catalysis Using Descriptor Modelling. Int. J. Mol. Sci. 2006, 7, 375-404.
Burello E, Rothenberg G. In Silico Design in Homogeneous Catalysis Using Descriptor Modelling. International Journal of Molecular Sciences. 2006; 7(9):375-404.Chicago/Turabian Style
Burello, Enrico; Rothenberg, Gadi. 2006. "In Silico Design in Homogeneous Catalysis Using Descriptor Modelling." Int. J. Mol. Sci. 7, no. 9: 375-404.