Presenter: Dr Gareth Conduit, Chief Science Officer, Intellegens
Original broadcast date: 16 June, 2026
Achieving net zero will require faster discovery and optimization of battery materials, as well as more efficient materials development. In this webinar, we introduce Alchemite, a machine learning tool that helps accelerate innovation by learning from sparse, noisy, and heterogeneous data. We present practical use cases in battery and materials development, including property prediction, experiment prioritization, and candidate selection. The session also includes a live demo of Alchemite, showing how it can be used to explore data, generate predictions, and support real-time decision-making. This webinar will be of interest to researchers and engineers working on batteries, advanced materials, and sustainable technology.
