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new processors could be made with nano-magnet arrays

by:Newland     2019-08-25
Scientists have taken an important step in developing new materials using nano-materials
In a study published in the journal Science, larger magnets may eventually lead to new electronic devices with greater processing power than is currently feasible.
Now, researchers at Imperial College London have shown that the Nano honeycomb pattern
In a material called spin ice, the size of the magnet introduces the competition between adjacent magnets and reduces the competition from two-thirds.
They have proven the large arrays of these nanometers.
Magnets can be used to store computable information.
The array can then be read by measuring the resistance of the array.
So far, scientists have been able to \"read\" and \"write\" patterns in magnetic fields, and a key challenge now is to develop a way to use these patterns for calculation, do so at room temperature.
Currently, they are working with magnets at a temperature of minus 223 °c.
Research author Dr. Will Branford and his team have been working on how to manipulate nano-magnetic states
Structured spin ice using magnetic fields and how to read their state by measuring their resistance.
They found it at low temperatures.
Minus 223C)
The magnetic bits act in a collective way and arrange themselves into patterns.
This changes their resistance to the current, so that if one passes through the material, this produces characteristic measurements that scientists can identify.
So far, scientists have been able to \"read\" and \"write\" patterns at room temperature.
However, at present, collective behavior can only be seen at the temperature of minus 223C.
A key challenge now is to develop a way to use these patterns for calculations and to do them at room temperature.
The current technology uses a magnetic field to store individual information.
New findings suggest that clusters of multiple domains can be used to solve complex computing problems in a single computation.
This type of computing is called a neural network, which is more similar to the way our brains work compared to the way traditional computers process information.
Dr. Branford, an EPSRC career acceleration researcher in the physics department of Imperial College London, said: \"electronics manufacturers have been working to squeeze more data into the same equipment, or put the same data into smaller space for handheld devices such as smartphones and mobile computers.
So far, however, the innate interaction between magnets limits their ability.
In some new types of memory, the manufacturer tries to use the iron body by completely avoiding the use of magnets (flash)
Instead, memory, memristors, or anti-iron magnets.
However, these solutions are slow, expensive or difficult to read.
Our philosophy is to use magnetic interactions to make them work for us.
Although today\'s research is a key step forward, researchers say there are many obstacles to overcome before scientists can create prototype devices based on this technology, such as the development of an algorithm to control computing.
The nature of this algorithm will determine whether the room temperature state can be used or whether the low temperature collective behavior is required.
However, they are optimistic that if these challenges can be resolved successfully, new technologies using magnetic honeycomb may be available within 10 to 15 years.
In the experiment, Dr. Branford applied a current on a continuous cellular network, made of a cobalt magnetic rod every 1 micron long, 100 nm wide, with an area of 100 square meters.
A single unit of a cellular grid is like a three-bar magnet in the center of a triangle.
There is no way to arrange two Arctic or two Antarctic poles without mutual contact and exclusion, which is called a \"frustrated\" magnetic system.
In a triangular unit, there are six ways to arrange the magnets so that they have exactly the same level of frustration, and as the number of triangular units in the honeycomb increases, the number of possible permutations of magnets increases exponentially, increasing the complexity of possible patterns.
Previous studies have shown that the applied magnetic field causes a state change in the magnetic domain of each rod.
This, in turn, affects the interaction between the rod and its two adjacent rods in the honeycomb, and Dr. Branford says it is this mode of magnetic state that may be computer data.
Dr. Branford said: \"The strong interaction between adjacent magnets allows us to subtly influence the formation of patterns on the honeycomb.
We can use this to calculate complex problems because many different results are possible and we can distinguish them electronically.
Our next challenge is to make a series of nanometers.
Magnets that can be \"programmed\" without an external magnetic field.
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