Busseiron and the formation of a discipline in Japanese physics
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Updates every hour. Last Updated: 19-Jun-2026 23:15 ET (20-Jun-2026 03:15 GMT/UTC)
The “prisoner’s dilemma” is one of the most famous ideas in game theory. It even appeared in the Oscar-winning film A Beautiful Mind, which told the story of mathematician John Nash.
For decades, this game has been used to explain why selfishness often beats cooperation.
In the prisoner’s dilemma, two players can either cooperate or cheat. Cheating always seems to pay off more, so both players end up cheating and losing out even though working together would have given them the biggest reward.
Scientists have long used this idea to understand everything from microbes sharing resources to human societies negotiating peace. The takeaway message? In the evolutionary race, cheaters win.
A new study led by Rutgers physicist Alexandre Morozov turns that assumption upside down. His research[KL1] , published in the Proceedings of the National Academy of Sciences, shows that cooperation can emerge naturally without special rules or genetic ties.
Lunar craters in permanent shadow could be ideal locations for building the most stable optical lasers ever made. The ultrastable laser could provide a GPS-like signal enabling spacecraft to navigate the Moon’s surface and more. Jun Ye, a physicist with the National Institute of Standards and Technology (NIST) and JILA, a joint institute of NIST and the University of Colorado, Boulder, and his colleagues describe their proposal in a recent issue of the Proceedings of the National Academy of Sciences.
The Moon’s frigid polar regions, where permanently shadowed craters reside, have a low-vibration, high vacuum environment that’s highly suitable for ultrastable lasers. Such a laser could lock its frequencies onto signals from optical atomic clocks on satellites, providing the first atomic timekeeping signal on an extraterrestrial body. Networks of these lasers could make possible highly precise measurements of the distance between satellites and the lunar surface and could potentially even detect gravitational waves passing through.
These polar regions, which are designated as possible landing sites for future missions in NASA’s Artemis program, remain central to long-term lunar exploration because they contain water-ice and other resources needed to maintain a human presence.
NIMS developed TEGNet (Thermoelectric Generator Neural Network), a neural network for designing thermoelectric generators by utilizing artificial intelligence (AI). TEGNet can predict performance of a power generator, a process which used to take enormous computational time with traditional simulation techniques, with only about 1/10,000 of the time conventionally needed, while maintaining over 99% accuracy. This technology significantly accelerates optimization from material development to device design, and is expected to be applied to waste heat recovery and stand-alone power supply for IoT sensors, for example. This research result was published in Nature at 11:00 U.S. Eastern Standard Time, April 15, 2026 (0:00 Japan Standard Time, April 16, 2026).
SAN ANTONIO — May 18, 2026 — Looking back at 14 years of Hubble telescope data for Jupiter’s moon Europa has given Southwest Research Institute (SwRI) scientists a better understanding of its tenuous atmosphere. The findings have cast doubt on previous evidence suggesting that the icy moon intermittently discharges faint water plumes from a presumed subsurface ocean.
Aqueous zinc-ion batteries (ZIBs) have attracted significant interest as safe, low-cost, and environmentally friendly energy storage systems. However, their performance and stability are limited by complex interfacial phenomena such as zinc dendrite growth, parasitic side reactions, and the evolution of the solid electrolyte interphase. These processes are inherently dynamic and span multiple spatial and temporal scales, posing challenges to traditional ex situ characterization techniques. To address this, advanced in situ and operando techniques have been developed, broadly categorized into imaging, spectroscopic, synchrotron scattering/diffraction, and coupled mass spectrometry approaches. These methods enable real-time visualization and chemical analysis of the electrode/electrolyte interface, providing insights into nucleation and dissolution dynamics, interfacial chemical transformations, and the mechanisms driving dendrite formation and parasitic reactions. Through the integration of these complementary techniques, structural evolution can be correlated with electrochemical behavior, elucidating the underlying physicochemical mechanisms. This review systematically summarizes recent advances in in situ and operando characterization methods and highlights their contributions to understanding interfacial stability in aqueous ZIBs. Future directions emphasizing multi-modal strategies and data integration to guide the rational design of high-performance ZIBs are discussed. These insights are expected to accelerate the development of next-generation aqueous energy storage systems.