
Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges. Johnson Matthey (JM), an FTSE 250 company, is a global leader in speciality chemicals and sustainable technologies with a 200+ year history of using advanced metals chemistry to tackle the world’s biggest challenges. JM continually seeks to expand on products and services which provide sustainability benefits through the positive impact they have on the environment, resource efficiency and human health. For instance, JM are interested in various new manufacturing processes that help build a sustainable society, such as power-to-X, power-to-fuels, and green hydrogen processes. This challenge mainly pertains to the flexible operation of these processes: we seek to understand how they can be operated with a time-changing feedstock such as electricity. Data Study Group - December 2023 | The Alan Turing Institute
ddc:004, Johnson Matthey, DATA processing & computer science, Chemical Processes, Data Study Group, The Alan Turing Institute, info:eu-repo/classification/ddc/004, Data Driven Modelling
ddc:004, Johnson Matthey, DATA processing & computer science, Chemical Processes, Data Study Group, The Alan Turing Institute, info:eu-repo/classification/ddc/004, Data Driven Modelling
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
