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AI-guided material changes can lead to diamond processors



Technology can lead to semiconductor-based inventions that are far more powerful than usually with minor changes. The silicon solar cell can capture as much energy as conventional models, but with thousands of thicknesses, while the diamond can become practical enough to replace the silicon in the processors and achieve a giant speed upgrading (up to 1

00,000 times the ideal situation). While the team focuses on using AI to correct electrical properties, they emphasize that it can also be used for optical and thermal characteristics. The challenge is to make the tension, especially at the level of complexity required for the chips. Even smartphone processors have billions of transistors – it can take a long time before your phone enjoys an increase in speed. However, this is a beginning, and this shows that strain engineering may be a solution for limiting solar energy and computational power.


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