The Johnson Matthey Data Science App Store as a Model for Industrial Digital Transformation
Industrial research and development (R&D) of advanced materials, particularly catalysts for sustainable technologies, is fundamentally hindered by a data analysis bottleneck. State-of-the-art characterisation instruments generate vast and complex datasets, the processing of which has become a significant impediment to the pace of innovation. This paper introduces the Johnson Matthey Data Science App Store, a strategic digital platform developed to overcome this challenge. The platform is a centralised, web-based suite of data science applications designed to democratise advanced analytics through intuitive, user-friendly graphical interfaces. The usefulness of the approach in generating value is illustrated with examples in three-dimensional device and micron level characterisation, particle size analysis and high-precision strain analysis.
Authors
- Aakash Varambhia (ORCID: https://orcid.org/0000-0002-8482-0203)
- Tom Ellaby (ORCID: https://orcid.org/0000-0002-6034-0723)
- Z. Najeeb
- D. Ozkaya
Institutions
- Diamond Light Source (GB)
- Johnson Matthey (United Kingdom) (GB)
Publication Details
- Journal
- Johnson Matthey Technology Review
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1595/205651326x17712507869188
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00