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Paola Laurino and Moni Hamolsky talk to Nature Catalysis about the Rosalind Franklin Forum for Female Scientists, Open to All (Roz), recalling the forum’s origins and aspirations.
Photocatalytic hydrogen peroxide formation is an advancing field with various approaches motivated by the promise of a green oxidant and energy carrier for a sustainable future. An assessment on quantification methods, sacrificial agents and best practices is provided to avoid false positives and support progress in the field.
Computational chemistry has become an increasingly common part of catalysis research. More recently, data-based methods such as machine learning have been suggested as a means to speed up discovery. This Focus issue features a collection of content dedicated to machine learning as pertaining to its potential impact on the field of catalysis.
Data science and machine learning have the potential to accelerate the discovery of effective catalysts; however, these approaches are currently held back by the issue of negative results. This Comment highlights the value of negative data by assessing the bottlenecks in data-driven catalysis research and presents a vision for a way forwards.
