Erratum: Data-Driven Modelling of a Pelleting Process and Prediction of Pellet Physical Properties
Control of quality leads to improved economics and sustainability
10 May 2022
By Joseph Emerson, Vincenzino Vivacqua and Hugh Stitt
Johnson Matthey Highlights
A selection of recent publications by Johnson Matthey R&D staff and collaborators
6 April 2022
Unlocking Scientific Knowledge with Statistical Tools in JMP{sup}®{/sup}
Benefits and challenges of new statistical tools
5 April 2022
By Pilar Gómez Jiménez, Andrew Fish and Cristina Estruch Bosch
Data-Driven Modelling of a Pelleting Process and Prediction of Pellet Physical Properties
Control of quality leads to improved economics and sustainability
18 March 2022
By Joseph Emerson, Vincenzino Vivacqua and Hugh Stitt
Basics of Fourier Analysis of Time Series Data
A practical guide to use of the Fourier transform in an industrial setting
8 March 2022
By Carl Tipton
Guest Editorial: The Digitalisation of Data at Johnson Matthey
1 March 2022
By Ian Peirson
Discrete Simulation Model of Industrial Natural Gas Primary Reformer in Ammonia Production and Related Evaluation of the Catalyst Performance
Optimising catalyst performance and lifetime
16 February 2022
By Nenad Zečević
Accelerating the Design of Automotive Catalyst Products Using Machine Learning
Leveraging experimental data to guide new formulations
3 February 2022
By Thomas Whitehead, Flora Chen, Christopher Daly and Gareth Conduit
Emacs as a Tool for Modern Science
The use of open source tools to improve scientific workflows
28 January 2022
By Timothy Johnson
“Women in Nanotechnology”
Edited by Pamela M. Norris (University of Virginia, USA) and Lisa E. Friedersdorf (University of Virginia, USA), Women in Engineering and Science Series, Springer Nature Switzerland AG, Cham, Switzerland, 2020, 140 pages, ISBN 978-3-030-19950-0, £74.99, €88.58, US$100.00
19 January 2022
Reviewed by Sara Coles