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10 stories from Planck Standard. Latest: July 10, 2026.
An international team used machine learning to pinpoint two never-before-seen superconductors, YRu₃B₂ and LuRu₃B₂, opening a path that could screen billions of materials in the hunt for a room-temperature version.
Physicists paired machine learning with quantum theory to find and confirm two new materials — a recipe that could speed the long hunt for a room-temperature superconductor.
An Aalto University-led team used AI to sift a near-infinite space of material combinations and pinpoint the kagome-lattice compounds YRu3B2 and LuRu3B2, whose superconductivity springs from flat electronic bands.
A superconducting calorimeter at Aalto University detected just 0.83 zeptojoules — a sensitivity that could sharpen quantum computers and even help hunt for dark matter.
A superconducting detector built at Aalto University registered just 0.83 zeptojoules — about the work needed to lift a single red blood cell one nanometer — a milestone for quantum computing and the hunt for dark matter.
Working in superfluid helium-3 at less than a ten-thousandth of a degree above absolute zero, Jere Mäkinen's team coupled an eternally ticking time crystal to a nanowire oscillator, turning a theoretical curiosity into a usable quantum component.
Aalto University researchers coupled a perpetually ticking quantum state of helium-3 to a mechanical resonator, demonstrating in Nature Communications a route toward ultra-precise sensors and far longer-lived qubits.
Aalto University researchers achieve first-ever coupling of perpetually moving quantum system to mechanical oscillator, opening door to new technologies.
Researchers have successfully linked a time crystal to an external mechanical system for the first time, opening doors to revolutionary quantum technologies including ultra-precise sensors and advanced computing systems.
Researchers successfully link perpetually moving quantum system to external oscillator, opening door to practical applications in sensors and quantum memory.