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Upcoming webinar with NASA guest speaker
Join our webinar on 21st September to hear how machine learning aids design of materials and components for high performance engineering applications. Our guest speaker, Dr Josh Stuckner of NASA Glenn Research Center, will discuss a project to validate the Alchemite™ deep learning methodology for optimisation of properties, while minimising the amount of expensive testing and simulation required to generate results.
New feature – a ‘treasure map’ for complex formulations spaces
The Alchemite™ Analytics software has a valuable new analytic tool for anyone exploring complex high-dimensional spaces, for example, when designing formulations. It maps multi-dimensional data onto two dimensions so that it becomes possible to visualise the distribution of the data and where predicted or optimised formulations fit. Scientists can quickly see whether potential new formulations are similar to existing products or are occupying new areas of formulation space. One user who tried it out described it as a ‘treasure map’ for product formulators.
Automotive catalyst study with Johnson Matthey
The design of catalysts to reduce harmful emissions is currently an intensive process of expert-driven discovery, taking several years to develop a product. Machine learning can accelerate this timescale, leveraging historic experimental data from related products to guide which new formulations and experiments will enable a project to most directly reach its targets. Researchers from Johnson Matthey and Intellegens published the results of such a project in the Johnson Matthey Technology Review.
New approach to sharing materials data
We’ve been running a series of 2 minute videos on our social media feeds in which Alexis from our Alchemite™ Success team demonstrates some of the analytics features of the Alchemite™ platform. Scroll to the bottom of the Alchemite™ Analytics page on our website to catch up on the videos that you’ve missed. And connect with us on LinkedIn to see more content like this as we post it.
Machine learning for Ni-base alloys
We recently welcomed Joel Strickland as the newest member of the Intellegens technical team. Joel has just had a paper published in Acta Materialia with collaborators from the Open University, Rutherford Appleton Labs, University of Leicester, and Rolls-Royce. The paper applies machine learning to the materials science of the superalloys used in aero engine turbine blades.
Save the date – Alchemite™ Focus Group (2 Nov)
Following a successful first meeting of the Alchemite™ Focus Group in June (read report), we’re planning a further meeting on 2nd November. If you joined us for the first session, save the date! This invitation-only event is for project leaders of teams using Alchemite™ or those planning projects that will use the technology. Share experiences, get the latest updates, and provide input to Intellegens development plans. The first meeting had attendees from sectors including material production, aerospace, chemicals, formulated products, printing technology, batteries, and food & beverage, with case study presentations from EVRAZ, NASA, and Johnson Matthey. If you’re interested in participating next time, get in touch.
New positions open at Intellegens
- Front-end React Developer
- Product Manager
- Back-end Developer
- Dev-ops and Implementation Engineer
Find out more on our careers page.