Mater-AI secures £1.5M to tackle one of energy’s oldest problems: wasted heat
Mater-AI, a UK-based materials innovation startup, has secured £1.5 million in funding to address the significant problem of wasted heat in various industries. The company is using artificial intelligence to develop more efficient thermoelectric materials, which convert heat into electricity or provide cooling, a critical step towards enhancing energy efficiency. This investment highlights the growing interest in sustainable energy solutions and the potential of AI in materials science. Mater-AI's platform accelerates the design of thermoelectric materials, reducing the development time from decades to weeks. It combines AI and physics-based modelling to optimize properties such as thermal and electrical conductivity. This platform can generate and evaluate 100 material structures every hour, a substantial improvement over traditional research and development methods, which is up to 438 times faster. The implications of Mater-AI's work are far-reaching, affecting data centers, IoT devices, automotive and defense systems, and heavy industries. By recovering wasted heat, these thermoelectric devices can improve energy efficiency, extend component lifespans, and offer precise thermal control. This approach promises to reduce energy waste, lower costs, and support digital transformation across multiple sectors, furthering European efforts towards sustainability.
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