by Staff Writers
Washington DC (SPX) Jun 08, 2017
Many people who use computers and other digital devices are aware that all the words and images displayed on their monitors boil down to a sequence of ones and zeros. But few likely appreciate what is behind those ones and zeros: microscopic arrays of "magnetic moments" (imagine tiny bar magnets with positive and negative poles). When aligned in parallel in ferromagnetic materials such as iron, these moments create patterns and streams of magnetic bits-the ones and zeros that are the lifeblood of all things digital.
These magnetic bits are stable against perturbations, such as from heat, by a form of strength in numbers: any moment that inadvertently has its orientation reversed is flipped back by the magnetic interaction with the rest of the aligned moments in the bit. For decades, engineers have been able to increase computing capabilities by shrinking these magnetic domains using advances in manufacturing and novel techniques for reading and writing the data.
In recent years, however, it has become clear that this approach cannot go on indefinitely. As it turns out, moments start to wobble out of alignment when the size of the bit gets too small and the interaction energy keeping them aligned is exceeded by the surrounding thermal energy making the all-important digital bits unstable and unreliable for storage or logic. For a number of high-performance electronic devices, that thermodynamic requirement for magnetic bit size-called the superparamagnetic limit-is about to be reached, meaning that eking out more memory in the same amount of space will no longer be possible.
DARPA's Topological Excitations in Electronics program, announced today, aims to investigate new ways to arrange these moments in novel geometries that are much more stable than the conventional parallel arrangement. If successful, these new configurations could enable bits of data to be made radically smaller than possible today, potentially yielding a 100-fold increase in the amount of storage achievable on a chip. It could also enable designs for completely new computer logic concepts and even for topologically protected "quantum" bits-the basis for long-sought quantum computers.
"We've known for some time that there are some magnetic interactions that favor the magnetic moments being canted in a v-shape rather than the parallel arrangement, which yield a much more stable structure than having them all in parallel," said Rosa Alejandra "Ale" Lukaszew, a program manager in DARPA's Defense Sciences Office.
"The canted interaction doesn't allow the electrons to line up parallel to each other, so in order to fit them in a small region they must be configured in a special pattern. These unique geometric patterns, called topological excitations, are very stable and maintain their geometry even when shrunk to very small sizes. But only recently have we had the multiscale models, advanced metrology tools, and understanding of proper material combinations to fully explore this phenomenon."
Another unique characteristic about topological excitations is that they can be moved at significant speed with a small amount of current, allowing for fast read and write operations if, for example, they are placed on a track that runs in front of a read/write head, Ale said. Such an approach would make it possible to explore novel, 3-D approaches to chip design, enabling storage capabilities of 100 Terabits per square inch, 100 times more than the current limit of 1 Terabit per square inch in laboratory demos.
A key goal of the program is to demonstrate topological excitations smaller than 10 nanometers at room temperature for memory applications. Currently there is preliminary research data showing that it is possible to create skyrmions (a particular type of topological excitation) of this size but only at very low temperatures, Ale said. The smallest sizes achieved to date at room temperature are 10s of nanometers, one to two orders of magnitude larger than the new program's goal. However, sizes less than 10 nm are theoretically possible if the right materials can be found.
"If you can move these skyrmions very fast with low currents, then you also have the possibility of implementing logic," Ale said.
"You're now not only getting into the memory business, you're also getting into the processor business, because then you can implement a completely different paradigm for all the typical digital logic gates.
"If we can achieve sizes smaller than 10 nanometers at room temperature, we want to determine how controllable they are for memory and logic, their sizes, and their dynamics-this whole design space has to be explored. If we demonstrate that these things can move as fast as we think they can, then we could have logic that can go beyond 1 Terahertz, which is the limit right now."
The program will also explore different materials in the quest for the right properties, as well as other topologically protected states for applications to quantum bits, for example.
"Magnetic materials are not the only type of material that can sustain topological excitations," Ale said. "There are oxides that can sustain this type of excitation but with charge rather than magnetic moments, so the program is open to other approaches. If there is a possibility of creating skyrmions smaller and with less energetic requirements in an oxide, that could be more interesting than magnetics. And although our focus is on memory storage and logic, if the community has novel ideas for other applications, we're listening."
If the research shows topological excitations can achieve the expected gains in memory, processing speed, and power savings, it could eventually have tremendous application to military systems. Manned and unmanned aircraft could fly with much less battery weight on board, allowing them to fly longer and farther, and troops would have fewer batteries to carry on missions, lightening their load, Ale said.
The Topological Excitations in Electronics program seeks expertise in materials science (to address the goal of achieving <10nm TEs at room temperature); physics (to address possible interactions leading to topological excitations of interest as well as suitable metrology to investigate them), chemistry (to address suitable materials combinations), engineering (to develop proof of concept structures to establish applications of topological excitations for memory and logic), enabling multi-function materials, integrated design optimization, and efficient power use.
A Special Notice announcing a webcast Proposers Day on June 16, 2017, was released and is available on FedBizOpps here
Washington (UPI) Jun 1, 2017
Computer scientists at Rice University have developed a new technique for minimizing the amount of computations required for deep learning. The simplification technique is similar to methods commonly used to minimize the amount of math required for data analysis. "This applies to any deep-learning architecture, and the technique scales sublinearly, which means that the larger the ... read more
Defense Advanced Research Projects Agency
Space Technology News - Applications and Research
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