Skip to Content

IBM’s Nano Connection

A novel approach could provide denser, less expensive nano memory.
December 8, 2005

Researchers have been able to make structures far smaller than those possible with current computer chip fabrication methods – the problem is they can’t yet make complex, working devices out of them.

Now a team of IBM researchers has found a way to use existing mass-production methods to create controllers for groups of tiny wires, an advance they hope will lead to memory chips four times denser than current ones. The advance should also mean significant cost savings, says Kailash Gopalakrishnan, an IBM researcher who presented the findings this week at the IEEE’s International Electron Devices Meeting in Washington, DC.

Although memory density has been improving steadily, this advance may be a way to “jump ahead of the curve,” Gopalakrishnan said.

Connecting microfabricated circuits to nanoscale structures has proven difficult. Making complex devices out of nano structures has been so elusive because each wire needed its own, relatively bulky connection. Now just one connection, with three elements, can control multiple wires, allowing the wires to be packed together much more tightly.

“It’s a very elegant idea,” says Mark Reed, professor of electrical engineering and applied physics at Yale University. “This interface problem has been there for awhile, and I think this is a wonderful way to get around it. This is a core idea that will have some important implications for nanostructures.”

In the IBM research, standard methods are used to pattern a three-element controller. One element connects to the end of a set of parallel wires and supplies electrons. The other two sit on either side of the wires and emit electric fields that together can be used to shut down the current passing through all but any one of the wires. So far, the researchers have built connections involving four parallel wires, but their data suggests the same system can control eight wires.

Being able to select a particular wire means signals can be addressed – a key element in random access memory. For example, any cell in a memory grid can be selected, to read or write to, by activating two perpendicular lines, like tracing rows and columns on a map.

So far, the IBM interface method has not been used to make a working memory cell. But this could happen within the year, says Gopalakrishnan. And, if all goes well, he says, more complex memory devices will follow in years to come. Other applications may also be possible, such as computer processing.  “Memory is just part of it,” said Gopalakrishnan. “It’s a very broad concept.”

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

OpenAI teases an amazing new generative video model called Sora

The firm is sharing Sora with a small group of safety testers but the rest of us will have to wait to learn more.

Google’s Gemini is now in everything. Here’s how you can try it out.

Gmail, Docs, and more will now come with Gemini baked in. But Europeans will have to wait before they can download the app.

This baby with a head camera helped teach an AI how kids learn language

A neural network trained on the experiences of a single young child managed to learn one of the core components of language: how to match words to the objects they represent.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.