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Industrial publications are a very valuable and multifaceted tool for the wider catalysis community; they can foster the productive collaboration of university and corporate research laboratories, an essential partnership for the solution of important societal problems
The field of organic synthesis has benefited from a greater understanding of organometallic and coordination chemistry, and the applications of homogeneous catalysts continue to impress.
Historically catalysis has evolved as a set of different fields linked together by a unifying concept. While the distinctions between the various areas serve a purpose, exciting work is happening at the interfaces.
Industrial research of new catalysts has benefited from both insight and predictions from first-principles calculations. We now find ourselves on the brink of a digital transformation where multiscale approaches and machine-learning methods promise to revolutionize the field.
Reproducibility is a cornerstone of science. It is imperative that everyone involved in the generation of scientific knowledge holds themself to the highest standard to ensure reproducibility.
Catalysis is a complex, multidimensional and multiscale field of research. Machine learning is helping to build better models, understand catalysis research and generate new knowledge about catalysis.