Matnex from our very first Cambridge Cohort has announceed a partnership to build the world’s largest materials science supercomputer.
Ai Quantum mechanics for material discovery
Company Name
MatNex
Founded
2020
Cohort
Cambridge Cohort 1
City
Cambridge
Country
UK
Founders & Roles
Jonathan Bean, CEO & Cofounder
Robert Forrest, CTO & Cofounder
Web
The Solution
MatNex use machine learning with quantum machanical simulations to predict the composite of new, low-carbon materials. Millions of material possibilities can be explored at pace which is followed by work with industrial partners on how the materials can be manufactured, scaled and deployed. This enables, lower-carbon materials, that perform better and that can be produced at lower temperatures.
The Problem
Materials extraction and processing account for 20-25% of global CO2 emissions mainly from producting materials such as steel, cement, aluminium and more. These materials are the backbone of many industrial sectors, including clean technologies such as renewables, batteries and cars. Materuals production takes place at extremely high temeperatures and is often powered by fossil fuels causing significant emissions.
Impact
Tackling the CO2e per unit of materials reduces the embodied carbon in industrial processes. This also allows clean technologies to scale without increasing global material-related emissions. With the support of AI this kind of testing leads to breakthroughs faster, while bringing down the cost of low-carbon material adoption.
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