A new type of computer memory to solve the digital technology energy crisis has been invented and patented by scientists


A new type of computer memory which could solve the digital technology energy crisis has been invented and patented by scientists from Lancaster University in the UK.

The electronic memory device – described in research published in Scientific Reports -promises to transform daily life with its ultra-low energy consumption.

In the home, energy savings from efficient lighting and appliances have been completely wiped out by increased use of computers and gadgets, and by 2025 a ‘tsunami of data’ is expected to consume a fifth of global electricity.

But this new device would immediately reduce peak power consumption in data centres by a fifth.

It would also allow, for example, computers which do not need to boot up and could instantaneously and imperceptibly go into an energy-saving sleep mode – even between key stokes.

The device is the realisation of the search for a “Universal Memory” which has preoccupied scientists and engineers for decades.

Here, we report an oxide-free, floating-gate memory cell based on III-V semiconductor heterostructures with a junctionless channel and non-destructive read of the stored data. Non-volatile data retention of at least 104 s in combination with switching at ≤2.6 V is achieved by use of the extraordinary 2.1 eV conduction band offsets of InAs/AlSb and a triple-barrier resonant tunnelling structure.

The combination of low-voltage operation and small capacitance implies intrinsic switching energy per unit area that is 100 and 1000 times smaller than dynamic random access memory and Flash respectively.

Physics Professor Manus Hayne of Lancaster University said: “Universal Memory, which has robustly stored data that is easily changed, is widely considered to be unfeasible, or even impossible, but this device demonstrates its contradictory properties.”

A US patent has been awarded for the electronic memory device with another patent pending, while several companies have expressed an interest or are actively involved in the research.

Figure 1
Device structure. (a) Schematic of the processed device with control gate (CG), source (S) and drain (D) contacts (gold). The red spheres represent stored charge in the floating gate (FG). (b) Details of the layer structure within the device. In both (a,b) InAs is coloured blue, AlSb grey and GaSb dark red. (c) Cross-sectional scanning transmission electron microscopy image showing the high quality of the epitaxial material, the individual layers and their heterointerfaces.

The inventors of the device used quantum mechanics to solve the dilemma of choosing between stable, long-term data storage and low-energy writing and erasing.

The device could replace the $100bn market for Dynamic Random Access Memory (DRAM), which is the ‘working memory’ of computers, as well as the long-term memory in flash drives.

While writing data to DRAM is fast and low-energy, the data is volatile and must be continuously ‘refreshed’ to avoid it being lost: this is clearly inconvenient and inefficient.

Flash stores data robustly, but writing and erasing is slow, energy intensive and deteriorates it, making it unsuitable for working memory.

Professor Hayne said:

“The ideal is to combine the advantages of both without their drawbacks, and this is what we have demonstrated.

Our device has an intrinsic data storage time that is predicted to exceed the age of the Universe, yet it can record or delete data using 100 times less energy than DRAM.”

Story Source:

Materials provided by Lancaster UniversityNote: Content may be edited for style and length.

Journal Reference:

  1. Ofogh Tizno, Andrew R. J. Marshall, Natalia Fernández-Delgado, Miriam Herrera, Sergio I. Molina, Manus Hayne. Room-temperature Operation of Low-voltage, Non-volatile, Compound-semiconductor Memory CellsScientific Reports, 2019; 9 (1) DOI: 10.1038/s41598-019-45370-1


Please enter your comment!
Please enter your name here

Questo sito usa Akismet per ridurre lo spam. Scopri come i tuoi dati vengono elaborati.