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Explore English articles about Fusion Energy.
The FT reports that Google DeepMind has dissolved AlphaFold's dedicated team and redeployed researchers to a Gemini-centered scientific AI foundation. John Jumper's departure, along with reports of two colleagues also leaving, coincides with competition spreading across the entire research pipeline.
Fusion venture Thea Energy has received $20 million in US government support to begin building a mass-production line for its proprietary planar high-temperature superconducting magnets. This technology compensates for complex geometry through control systems, shifting the manufacturing bottleneck from individual prototypes to uniform mass production, with the aim of accelerating the construction of a demonstration reactor.
A research team led by the University of Michigan has developed a technology that controls the direction of electron motion using only quantum interference of light, without applying any voltage. By interfering two-photon and three-photon absorption pathways, they generated bullet-like currents unaffected by impurity scattering, and succeeded in freely changing the current's direction simply by manipulating the polarization of light.
The place where a hyper-advanced civilization builds a megastructure known as a "Dyson sphere" may not be a Sun-like star. A new study reports that red dwarfs and white dwarfs could be the optimal targets, offering engineering advantages such as long lifespans and drastically reduced construction material requirements.
The helium supply risk that Intel's CEO flagged in June 2026 is not directly connected to China's export ban three weeks later. What links the two is the attack on Qatar in March and the resulting production halt. This article traces the timeline of the global supply network to unpack why China—a country with just a 1.6% production share that depends on imports—resorted to such an unusual measure.
To control tritium formation in molten salt—essential for fusion reactors to breed their own fuel—a new method combining quantum computers with classical computation has been developed. By simulating the complex behavior of electrons with high precision, it tackles the prediction of corrosive compound formation and efficient fuel recovery.
