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These U.S. Scientists Have Cracked The Code For Brain-like Supercomputers With Ultrafast Microscopy 

US Cracks Code For Brain-like Supercomputers With Ultrafast Microscopy 

Researchers at the US Department of Energy’s Argonne National Laboratory (ANL) have achieved a significant advancement using ultrafast electron microscopy to observe rapid changes in materials under electrical pulses.

The team at ANL has employed cutting-edge microscopy techniques to capture millisecond-scale alterations in materials, specifically focusing on charge density waves. These waves, which involve electrons moving in correlated patterns, are crucial for developing future supercomputers that are both powerful and energy-efficient.

In their study, the researchers used an ultrafast electron microscope to investigate the behavior of 1T-TaS2, a material known for its charge density wave formations at room temperature. By applying electrical pulses through electrodes attached to this material, they uncovered two surprising phenomena that had not been observed before.

Firstly, they discovered that the melting of charge density waves was caused by heat from the current, rather than the current itself. Secondly, they noted that electrical pulses induced vibrations in the material, which altered the wave arrangements. These vibrations produced a drum-like effect, providing new insights into how charge density waves can be manipulated.

According to Daniel Durham, a postdoctoral researcher at ANL, these findings are significant because they mimic neuronal activation in the brain. The melting response is akin to how neurons are activated, while the vibrations could potentially simulate neuron-like firing signals within artificial neural networks.

The implications of this research are profound, suggesting that controlling charge density waves could lead to advances in ultraprecise sensing and more efficient processing technologies.

Charudatta Phatak, a materials scientist at ANL, highlighted the potential for applying these findings to enhance microelectronic devices by understanding and manipulating the fundamental mechanisms of charge density waves.

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