Welcome to the Intellegens newsletter, where we share the latest news, developments, and achievements from the team at Intellegens.
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Webinar – Towards net zero with ML: Battery and Materials development
Achieving net zero requires faster discovery and optimization of battery materials and more efficient materials development. This webinar shows how machine learning (ML) accelerates innovation by learning from sparse, noisy, and heterogeneous research data. We present practical use cases in battery and materials development, including property prediction, experimental design, and candidate selection. The session will include a live demo, showing how ML is used to explore data, generate predictions, and support real-time decision-making. The event will be of interest to researchers and engineers working on batteries, advanced materials, and sustainable technology.
Intellegens and Materials Design collaborate to combine ML with multi-scale simulation
Intellegens has announced a collaboration with Materials Design, Inc. that will make it easier for materials research organizations to combine advanced machine learning with the full range of materials simulation methods, delivering insights to speed up development of new and improved materials and processes. The collaboration enables the companies to offer combined ML and multi-scale modelling through jointly specified software solutions or via scientific service engagements.
New Alchemite™ Academy initiative upskills researchers in machine learning
Alchemite™ Academy, a new initiative from Intellegens, offers practical training in machine learning and adaptive experimental design that enables scientists to accelerate discovery, boost productivity, and apply advanced tools with confidence. The program has been developed, trialled, and validated with leading research organizations that use the Intellegens Alchemite™ Suite software, and is now being opened to the wider community of Intellegens customers. You can watch a 2 minute overview video from Intellegens CSO Gareth Conduit, one of the lead instructors on the Academy courses.
Multi-stage modelling makes it real
A new Alchemite™ feature is ‘making it real’ for scientists and engineers trying to understand processes such as formulation, materials production, or manufacturing. Multi-stage modelling enables users to specify the different steps in a multi-stage process and then train a machine learning model that accounts for this complexity, delivering more precise predictions and a more complete analysis of the system being studied.
Blog – Debating ‘all-in-one’ vs ‘best-in-class’
It’s one of the big debates in research IT. Which strategy is correct? The all-in-one platform or integrating best-in-class solutions? The answer is, as usual, neither… and both! In this month’s blog we chew over some of the issues.
Recorded webinar – Chemical formulation
Catch up with this webinar, recorded earlier this month, which showed how machine learning can drive development of new chemical formulations, learning from existing experimental data to predict performance, uncover hidden relationships, and guide more efficient experimentation. We discovered how encoding the chemistry of formulation ingredients directly into models enables better generalisation across ingredients and more intelligent exploration of formulation space.
Supporting customer success
We recently welcomed Hafya Ullah to the Intellegens team as our new Customer Success Specialist. Hafya will be working closely with Intellegens customers, ensuring efficient management of their projects and that customers get the guidance and scientific input they need as they deploy and apply machine learning to accelerate their R&D. Expanding such support is a mark of the priority that Intellegens gives to ensuring that users of Alchemite get fast, impactful return on their investment in machine learning.
