Signals from the materials frontier.

Our latest published work shows how reinforcement learning can push generative models beyond known superconductor families, improving predicted critical temperatures, stable, unique and novel rates, and first-principles validation results.

In new work with our collaborators at Symmetric Group, we show how magnetic MACE can model defects, temperature effects, and complex spin states at near-DFT accuracy, but at far lower cost. We're opening the door to high-throughput screening of magnetic materials under realistic operating conditions.

UKAEA awarded MatNex a contract for project SHINE, covering Superior High-performance Intermetallics for Neutronic Evaluation.

MatNex and Viridien are partnering to rapidly scale computational capacity for the discovery and production of ground-breaking materials.

Sifted highlights MatNex as one of the European university spinouts to watch.

A British firm has used AI to develop a magnet free of rare earth elements at record speed, with major implications for clean energy production.

The Economist examines the rise of China as a scientific superpower, featuring MatNex.

MatNex featured in the Beauhurst UK Defence Tech 2024 report.

Reuters explores how AI could transform the production of cement and steel.

How MatNex is shaping the future of machine learning for net-zero materials.

The World Economic Forum explores how AI-driven materials discovery is fighting climate change.

MatNex among winners at the KPMG Black Entrepreneurship Awards.

Four black heritage founders walk away with cash prize at entrepreneur awards.

TechCrunch covers MatNex's £2 million seed round for clean climate material discovery.

MatNex featured among climate tech startups to watch.