Shanghai, August 21, 2025 — Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and efficient use depends critically on the development ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

How Ambarella’s system improves radar sensing. How the CV3 family addresses automotive applications like self-driving cars. What’s inside the CV3 system-on-chip (SoC)? Advanced driver-assistance ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...