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Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano

ai, AI (Artificial Intelligence), Artificial Intelligence, Batteries, Cleaner industry, Climate, Computer science and technology, Electronics, Energy, Health, Industry, Innovation and Entrepreneurship (I&E), Materials science and engineering, MIT.nano, Nanoscience and nanotechnology, Photonics, Quantum Computing, School of Engineering, School of Science, semiconductors, Startups, Superconductivity, Technology and society

MIT.nano has announced that 16 startups became active participants in its START.nano program in 2025, more than doubling the number of new companies from the previous year. Aimed at speeding the transition of hard-tech innovation to market, START.nano supports new ventures through the discounted use of MIT.nano shared facilities and a guided access to the […]

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New tool makes generative AI models more likely to create breakthrough materials

Artificial Intelligence, Department of Energy (DoE), Energy, Machine Learning, Materials science and engineering, National Science Foundation (NSF), Nuclear science and engineering, Quantum physics, Research, School of Engineering, Superconductivity

The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, and Meta have drawn on their training data to help researchers design tens of millions of new materials.But when it comes to designing materials with exotic

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