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Researchers use AI to rediscover forgotten materials from the 1970s, can boost next-gen green tech

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Researchers use AI to rediscover forgotten materials from the 1970s, can boost next-gen green tech

In science, the fastest path to the future sometimes requires digging through the past.

Researchers at Sweden’s Linköping University used artificial intelligence to search decades of scientific archives and uncovered 33 previously overlooked MXene forms. These ultra-thin, high-performance materials were first officially recognized in 2011, making the recovery of these hidden compositions a major step forward for materials science.

The team created a greener synthesis method that produces MXenes in seconds at room temperature, using less water and fewer hazardous chemicals. This advance improves scalability for widespread commercial applications.

The findings reveal that certain materials capable of transforming clean tech may have been sitting on dusty digital shelves since the 1970s.

“We need to look both backward and forwards to accelerate materials science. There’s so much information in the literature that we’re not aware of. We as researchers sometimes reinvent the wheel and claim to have made great discoveries – but then it turns out they were already made in Germany, for example, in the 1970s,” said Johanna Rosén, Professor of Materials Physics at Linköping University, LiU.

Early researchers synthesized the precursor parent crystals as far back as the 1970s, but the materials remained hidden in archives because the scientific framework for two-dimensional physics did not yet exist.

At the time, scientists lacked both the conceptual framework for single-atom exfoliation and advanced characterization tools like high-resolution scanning transmission electron microscopes. Therefore. experts earlier documented these complex crystal structures without realizing their ultra-thin 2D potential.

MXenes are two-dimensional materials consisting of atom-thin layers of metals combined with carbon or nitrogen.


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