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- 1Los Alamos bet on ENIAC for nuclear Monte Carlo simulations●Los Alamos bets on ENIAC: Nuclear Monte Carlo simulations, 1947–1948 (2014) [pdf]
A 2014 paper recounts how Los Alamos scientists used the ENIAC computer in 1947–1948 to run Monte Carlo simulations of nuclear processes. The work, tied to figures like Nicholas Metropolis and Stanislaw Ulam, is credited as an early landmark in scientific computing and probabilistic modeling. Readers are sharing and discussing the historical account of how modern computational physics got its start.
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Anthropic has published a new research essay titled "Claude-Shaped Science", examining how AI systems like Claude may shape the way scientific research is done. The piece is drawing attention among technologists and researchers, who are debating what it means for AI models to influence scientific questions, methods, and outputs.
- 3Scientists Push Superconductors Beyond Their Usual Current Limit▼Scientists just pushed superconductors beyond their usual current limit
Researchers report that they have pushed superconductors past their usual current limit, a benchmark that has long constrained practical applications of the technology. The advance could matter for fields that rely on carrying large currents without resistance, such as magnets, power transmission and quantum devices. Details of the method and how broadly it can be applied remain to be seen as the work circulates among science readers.
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Reports claim that scientists have for the first time drilled into the site long associated with Noah's Ark, a geological formation in Turkey's mountains that some researchers and creationists have argued could contain petrified remains of the biblical vessel. Samples taken from the site are said to be undergoing analysis, and the drilling has reignited debate over whether scientific methods can settle the question of the Ark's existence.