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DNA “Origami” Creates, Fast, Cheap Computer Chips

By R&D Editors | March 14, 2016

Prototypes for cheaper computer chips are being built with metal-containing DNA origami structures. Image: Zoie Young, Kenny Lee, and Adam WoolleyElectronics manufacturers constantly hunt for ways to make faster, cheaper computer chips, often by cutting production costs or by shrinking component sizes. Now, researchers report that DNA, the genetic material of life, might help accomplish this goal when it is formed into specific shapes through a process reminiscent of the ancient art of paper folding.

The researchers will present their work at the 251st National Meeting & Exposition of the American Chemical Society (ACS). It features more than 12,500 presentations on a wide range of science topics.

“We would like to use DNA’s very small size, base-pairing capabilities and ability to self-assemble, and direct it to make nanoscale structures that could be used for electronics,” Adam T. Woolley, Ph.D., says. He explains that the smallest features on chips currently produced by electronics manufacturers are 14 nanometers wide. That’s more than 10 times larger than the diameter of single-stranded DNA, meaning that this genetic material could form the basis for smaller-scale chips.

“The problem, however, is that DNA does not conduct electricity very well,” he says. “So we use the DNA as a scaffold and then assemble other materials on the DNA to form electronics.”

To design computer chips similar in function to those that Silicon Valley churns out, Woolley, in collaboration with Robert C. Davis, Ph.D., and John N. Harb, Ph.D., at Brigham Young University, is building on other groups’ prior work on DNA origami and DNA nanofabrication.

The most familiar form of DNA is a double helix, which consists of two single strands of DNA. Complementary bases on each strand pair up to connect the two strands, much like rungs on a twisted ladder. But to create a DNA origami structure, researchers begin with a long single strand of DNA. The strand is flexible and floppy, somewhat like a shoelace. Scientists then mix it with many other short strands of DNA — known as “staples” — that use base pairing to pull together and crosslink multiple, specific segments of the long strand to form a desired shape.

However, Woolley’s team isn’t content with merely replicating the flat shapes typically used in traditional two-dimensional circuits. “With two dimensions, you are limited in the density of components you can place on a chip,” Woolley explains. “If you can access the third dimension, you can pack in a lot more components.”

Kenneth Lee, an undergraduate who works with Woolley, has built a 3D, tube-shaped DNA origami structure that sticks up like a smokestack from substrates, such as silicon, that will form the bottom layer of their chip. Lee has been experimenting with attaching additional short strands of DNA to fasten other components such as nano-sized gold particles at specific sites on the inside of the tube. The researchers’ ultimate goal is to place such tubes, and other DNA origami structures, at particular sites on the substrate. The team would also link the structures’ gold nanoparticles with semiconductor nanowires to form a circuit. In essence, the DNA structures serve as girders on which to build an integrated circuit.

Lee is currently testing the characteristics of the tubular DNA. He plans to attach additional components inside the tube, with the eventual aim of forming a semiconductor.

Woolley notes that a conventional chip fabrication facility costs more than $1 billion, in part because the equipment necessary to achieve the minuscule dimensions of chip components is expensive and because the multi-step manufacturing process requires hundreds of instruments. In contrast, a facility that harnesses DNA’s knack for self-assembly would likely entail much lower start-up funding, he states. “Nature works on a large scale, and it is really good at assembling things reliably and efficiently,” he says. “If that could be applied in making circuits for computers, there’s potential for huge cost savings.”

The researchers acknowledge funding from the Semiconductor Research Corporation.

Source: American Chemical Society 

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