Why IBM Made a Liquid Transistor
Researchers at IBM last week unveiled an experimental new way to store information or control the switching of an electronic circuit.
The researchers showed that passing a voltage across electrolyte-filled nanochannels pushes a layer of ions—or charged atoms—against an oxide material, a reversible process that switches that material between a conducting and nonconducting state, thus acting as a switch or storing a bit, or a basic “1” or “0” of digital information.
Although it’s at a very early stage, the method could someday allow for very energy-efficient computing, says Stuart Parkin, the IBM Research Fellow behind the work at the company’s Almaden Research Lab in San Jose, California. “Unlike today’s transistors, the devices can be switched ‘on’ and ‘off’ permanently without the need for any power to maintain these states,” he says. “This could be used to create highly energy-efficient memory and logic devices of the future.”
Even a small prototype circuit based on the idea is two to four years off, Parkin says. But ultimately, “we want to build devices, architecturally, which are quite different from silicon-based devices. Here, memory and logic are fully integrated,” he says.
Such a device could be reconfigurable, with individual elements strung together to create wires and circuits that could be reprogrammed. That’s in contrast to traditional chips, which are connected by copper wires that can’t be changed.
One problem is that, as a chemical reaction, the switching times for the early demonstration is slow—perhaps one or two orders of magnitude slower than existing technologies. However, shrinking their dimensions and packing them closely together will increase the effective speed, Parkin says. “Having a lot of these devices operating in parallel and using very little energy can create powerful computing devices,” he says.
Computing devices that are slow and based on chemistry have a long way to go to compete, says Douglas Natelson, a physicist at Rice University who investigates nanoscale phenomena and technologies. “This is a really nice piece of science but you have to wait and see how much impact it’s going to have on computing,” he says. “Silicon has a lot of legs left, I think.”
Parkin has previously been behind other experimental advances, including a technology known as racetrack memory, in which information is represented by magnetic stripes on nanoscale wires deposited on silicon (see “IBM Makes Revolutionary Racetrack Memory Using Existing Tools”). And he’s worked on technologies that leverage not only the charge of electrons, but their up-or-down “spin” (see “A New Spin on Silicon Chips”).
But the idea of using fluids to drive computing processes is in some ways even more radical, and presents obvious challenges. Eventual technologies built on such science, Parkin says, would leverage engineering advances made in the field of nanofluidics (see “Nanofluidics Get More Complex“) or the use and manipulation of fluid at tiny scales inside etched channels on silicon or glass wafers.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Deep learning pioneer Geoffrey Hinton has quit Google
Hinton will be speaking at EmTech Digital on Wednesday.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.