Advances in Sustainable Catalysis: A Computational Perspective
Advances in Sustainable Catalysis: A Computational Perspective
The enormous challenge of moving our societies to a more sustainable future offers several exciting opportunities for computational chemists. The first principles approach to "catalysis by design" will enable new and much greener chemical routes to produce vital fuels and fine chemicals. This prospective outlines a wide variety of case studies to underscore how the use of theoretical techniques, from QM/MM to unrestricted DFT and periodic boundary conditions, can be applied to biocatalysis and to both homogeneous and heterogenous catalysts of all sizes and morphologies to provide invaluable insights into the reaction mechanisms they catalyze.
- University College London United Kingdom
- University of Salford United Kingdom
- University of Manchester United Kingdom
- White Rose Consortium: University of Leeds; University of Sheffield; University of York United Kingdom
- Cardiff University United Kingdom
Chemistry, heterogeneous catalysis, green chemistry, computational chemistry, QM/MM, homogeneous catalysis, QD1-999, density functional theory
Chemistry, heterogeneous catalysis, green chemistry, computational chemistry, QM/MM, homogeneous catalysis, QD1-999, density functional theory
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- 2013IsRelatedTo
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).47 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
