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Finding hidden catalytic knowledge from literature data

Exciting new research at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) explains how to transform decades of scattered literature data into computable design rules for catalysts. By using human intelligence, regression models, and AI agents, researchers can accelerate the discovery of efficient, low-cost catalysts for clean energy technologies like fuel cells, water splitting, and CO₂ reduction. By combining these methods, researchers can uncover new discoveries...

Phys.org 1d ago

Box jellyfish reveal secret life cycle with implications for coastal safety

Box jellyfish reveal secret life cycle with implications for coastal safety Lisa Lock Scientific Editor Robert Egan Associate Editor Box jellyfish are often feared as dangerous animals, with some species capable of causing severe or even fatal stings. However, box jellyfish nematocysts—organelles responsible for this toxic sting—are theorized to also play an unexpected role in reproduction. While many studies focus on researching the range of toxicity levels exhibited by the more than 50...

Phys.org 9d ago

'BBQ sauce' phase may link little red dots to quasars

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Phys.org 7d ago

DigMethpy: An AI-driven platform for accelerating methane pyrolysis catalyst discovery

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Phys.org 6d ago

Nature Index 2026 Research Leaders rankings: are China’s East Asian neighbours keeping pace with it?

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Nature 18h ago

Chinese detector edges closer to solving the mystery of neutrino mass

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Japan's bear attacks broke records in 2025. Will this year be worse?

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ABC Australia 14h ago