Thanks to advanced computer simulations, University of Rhode Island Graduate School of Oceanography (GSO) peer-reviewed ...
Dell’s revived XPS 14 ultraportable laptop dazzles with sublime build quality, a crisp and colorful OLED screen, and fiery ...
A persistent asymmetry in fusion exhaust has challenged researchers for years. New simulations show that plasma core rotation, working together with cross-field drifts, determines where particles land ...
Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...
The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...
6d
Simplifying quantum simulations—symmetry can cut computational effort by several orders of magnitude
Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...
Microsoft researchers have developed a technology that writes data into glass with lasers, raising the prospect of robotic libraries full of glass tablets packed with data ...
Morning Overview on MSN
Are we in a simulation? New AI and physics clues raise fresh doubt
A physicist has mounted one of the most detailed technical challenges yet against the idea that our universe is a computer simulation, arguing that the energy required to run such a program would ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...
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