A time crystal is a unique and exotic phase of matter first predicted by the American physicist Frank Wilczek in 2012. Time crystals are temporal analogs of more conventional space crystals, as both are based on structures ...
(Phys.org) —While scientists know that information is represented in the brain by the electrical activity of neurons, the details of this representation, called "neural coding," remain mysterious. How exactly do pulses ...
Researchers in condensed matter physics at the University of Pennsylvania and the University of Chicago have created an experimental and computer model to study how jamming, the physical process in which collections of particles ...
Condensed Matter
May 13, 2009
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0
NASA and the US military said Wednesday they had selected defense contractor Lockheed Martin to develop a nuclear powered rocket, with a view to using the technology for missions to Mars.
Space Exploration
Jul 26, 2023
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149
NASA is partnering with a Pentagon research agency to develop a nuclear-powered rocket engine in preparation for sending astronauts to Mars.
Space Exploration
Jan 24, 2023
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92
Car manufacturing workers, long haul airline pilots, coal workers, shop assistants—many employees are forced to undertake the difficult and sometimes distressing challenge of finding a new occupation quickly due to technological ...
Economics & Business
Aug 5, 2021
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18
A team of researchers at Google's DeepMind has developed an AI system that is able to predict the movement of glass molecules as the material transitions between liquid and solid states. They have published a paper outlining ...
In physical, biological and technological systems, the time that a system's components take to influence each other can affect the transition to synchronization, an important finding that improves understanding of how these ...
General Physics
Nov 6, 2018
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161
Transition metal dichalcogenides (TMDCs) possess optical properties that could be used to make computers run a million times faster and store information a million times more energy-efficiently, according to a study led by ...
General Physics
Oct 2, 2018
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74
How can machine learning help astronomers find Earth-like exoplanets? This is what a new study hopes to address as a team of international researchers investigated how a novel neural network-based algorithm could be used ...
Planetary Sciences
May 31, 2024
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