Nano-machines are ultra-tiny mechanical devices fabricated by assembling one atom at a time. These machines have a very wide applicability for operating at the molecular level — attacking diseases, ...

D printing can now “carve” at scales thousands of times finer than a human hair. On March 16, Anhui Hefei Astra Technology Co., Ltd. (hereinafter “Astra”), located in the Grand Union of Innovation ...

(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...

A research team led by the University of Toronto in Canada has announced that they have used machine learning to design a lightweight yet strong nanostructured material. It is expected that using this ...

Sunrise, Florida, Dec. 04, 2020 (GLOBE NEWSWIRE) -- Nano Dimension Ltd. (Nasdaq: NNDM), a leading Additively Manufactured Electronics (AME)/PE (Printed Electronics) provider, today announced an ...

Sunrise, Florida, July 01, 2021 (GLOBE NEWSWIRE) -- Nano Dimension Ltd. (Nasdaq: NNDM), an industry leading Additively Manufactured Electronics (AME)/PE (3D-Printed Electronics) provider, announced ...

In a significant move within the additive manufacturing industry, Nano Dimension Ltd. and Desktop Metal Inc. have announced a strategic agreement. Israeli 3D printing company Nano Dimension is set to ...

Waltham-based Markforged has agreed to be acquired by Nano Dimension, an Israeli 3-D printing company with US headquarters in Waltham. It’s the second time this year that Nano Dimension has purchased ...

For many meme stocks, that’s it. We’ve seen the super spike and the inevitable crash time and time again — show’s over, time to move on. However, the Nano Dimension story might be worth looking at ...

We recently compiled a list of the 11 Best 3D Printing and Additive Manufacturing Stocks To Buy. In this article, we are going to take a look at where Nano Dimension Ltd. (NASDAQ:NNDM) stands against ...

Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...