phys.org


Researchers at Emory and Yale introduced an AI tool that reduces phase detection in quantum materials from months to minutes. Much like self-driving cars using simulation data, they merged high-throughput experiments with machine learning to uncover subtle superconducting transitions. This innovative approach offers a practical example of integrating digital technologies into scientific exploration.

Q&A

  • What is a quantum phase transition?
  • How does the AI tool detect phase transitions?
  • Why combine simulation with experimental data?
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In a 2025 Biology Letters study, Duke University and UCSF researchers observed that fat-tailed dwarf lemurs extend their telomeres during hibernation, effectively turning back the cellular clock. This natural phenomenon resembles an anti-aging therapy. Consider how this mechanism might inspire future approaches to mitigating age-related decline.

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Hibernating lemurs can turn back the clock on cellular aging

A recent study by University of Tokyo researchers sequenced the first chromosome-level genome of the Greenland shark. The work revealed expanded NF-κB signaling and DNA repair genes, shedding light on its potential 400-year lifespan. Consider exploring these genetic adaptations for clues to longevity and possible biotechnological applications.

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Exploring the Greenland shark's secret to extreme longevity