# Ultrafast electron microscopy technique advances understanding of processes applicable to brain-like computing **URL:** \ **Category:** News\ **Created:** [August 6, 2024, 3:10pm UTC](https://community.materialssquare.com/t/ultrafast-electron-microscopy-technique-advances-understanding-of-processes-applicable-to-brain-like-computing/546 "2024-08-06T15:10:00Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![gabriele1](https://yyz1.discourse-cdn.com/flex003/user_avatar/community.materialssquare.com/gabriele1/32/20_2.png) [@gabriele1](https://community.materialssquare.com/u/gabriele1)\ **Post date:** [August 6, 2024, 3:10pm UTC](https://community.materialssquare.com/t/ultrafast-electron-microscopy-technique-advances-understanding-of-processes-applicable-to-brain-like-computing/546/1 "2024-08-06T15:10:00Z")
Researchers at Argonne National Laboratory have developed an ultrafast electron microscopy technique that reveals how charge density waves in materials like tantalum sulfide (1T-TaS₂) respond to electrical pulses. This method allows observation of nanosecond-scale dynamics, showing that heat generated by the current, rather than the current itself, causes the waves to “melt,” and that electrical pulses induce vibrations in the material. These findings are significant for developing energy-efficient computing technologies that mimic brain-like functions. For more details, you can read the full article on [Phys.org](http://Phys.org): > **[Ultrafast electron microscopy technique advances understanding of processes...](https://phys.org/news/2024-08-ultrafast-electron-microscopy-technique-advances.html)** > > Today's supercomputers consume vast amounts of energy, equivalent to the power usage of thousands of homes. In response, researchers are developing a more energy-efficient form of next-generation supercomputing that leverages artificial neural...