"Memory transistor" can store and process information at the same time

According to a recent study published by Nature, scientists at Northwestern University have developed a new type of device called "memory transistor" that can simultaneously perform memory and information processing functions in much the same way as neurons.

Computers have separate processing and storage units, and the brain uses neurons to perform both functions. According to the Physicist Organization Network, with the combination of memristor and transistor, the new device contains multiple terminals that can operate like a neural network.


The study was based on the work of 2015 with the support of the American Institute of Standards and Technology and the National Science Foundation. The team created a three-terminal gated adjustable memristor using a single layer of molybdenum disulfide to achieve fast and reliable digital memory storage. The memristor is an abbreviation for "memory resistor", which is a current resistor that "remembers" the voltage previously applied to it.

Now, the team once again uses atomic-grade thin molybdenum disulfide and a clear grain boundary, which, like the arrangement of wood fibers, is arranged in an ordered region in the material—grains. When a large voltage is applied, the grain boundary promotes atoms. Movement, resulting in resistance changes.

Since molybdenum disulfide is only as thin as atomic grade, it is susceptible to the application of an electric field, which makes it easy to be made into a transistor. The researchers explain that, unlike previous memristors that use a single molybdenum disulfide sheet, the new memory transistor uses a continuous polycrystalline molybdenum disulfide film composed of multiple small pieces that can be extended from a single sheet device to multiple wafers across the wafer. Device.

When the length of the device is greater than the size of a single crystal, each device on the wafer has a grain boundary, so a repetitive, gate-adjustable memristive response can be seen in a large device array. In the new paper, the team implemented a seven-terminal device, one of which can control the current between the other six terminals. This is very similar to a neuron in the brain, usually a neuron connected to multiple other neurons.

Currently, the research team is working hard to make memory transistors smaller, run faster, and plan to expand production. They believe that memory transistors can be the basic circuit components for new neuromorphic calculations.

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