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Primeur weekly 2019-09-02

Quantum computing

DOE announces $21,4 million for quantum information science research ...

Quantum criticality could be a boon for qubit designers ...

DOE announces $60,7 million to advance quantum computing and networking ...

Atos delivers Quantum-Learning-as-a-Service to Xofia to enable artificial intelligence solutions ...

Entanglement sent over 50 km of optical fiber ...

Focus on Europe

MIPT physicists create device for imitating biological memory ...

Supercomputer Puhti at CSC Finland is now available for researchers ...

Hardware

Micron and WekaIO win Best of Show Award at the Flash Memory Summit 2019 ...

Tachyum joins CXL High-Speed Interconnect Consortium to advance breakthrough data centre performance ...

OSNEXUS announces QuantaStor 5.4 featuring scale-out NAS, IBM Key Protect integration, and storage firewall management ...

DIY: How to build a supercomputer ...

NVIDIA vComputeServer with NGC containers brings GPU virtualization to AI, Deep Learning and Data Science ...

Mellanox works with VMware and NVIDIA to enable high performance virtualized machine learning solutions ...

Mellanox introduces revolutionary ConnectX-6 Dx and BlueField-2 secure Cloud SmartNICs and I/O Processing Unit solutions ...

New modular supercomputing facility opens at NASA's Ames Research Center ...

Supermicro extends vSAN system portfolio for hyper-converged infrastructure and launches new high-performance vSAN solution ...

Applications

IBM gives artificial intelligence computing at MIT a lift ...

Break in temporal symmetry produces molecules that can encode information ...

Smarter experiments for faster materials discovery ...

Seagate and UC Santa Cruz collaboration poised to accelerate genomics data analysis ...

ORNL-Veterans Affiars collaboration targets veteran suicide epidemic ...

Messi versus Ronaldo: who's the GOAT? Computer model may help to settle the debate ...

Supercomputers pave the way for new machine learning approach ...

Altair expands AI data science solutions ...

The Cloud

Supercomputing in the Open Telekom Cloud ...

MIPT physicists create device for imitating biological memory


On-chip brain. Credit: Elena Khavina/MIPT Press Office.
28 Aug 2019 Moscow - Researchers from the Moscow Institute of Physics and Technology (MIPT) have created a device that acts like a synapse in the living brain, storing information and gradually forgetting it when not accessed for a long time. Known as a second-order memristor, the new device is based on hafnium oxide and offers prospects for designing analogue neurocomputers imitating the way a biological brain learns. The findings are reported inACS Applied Materials & Interfaces.
The left image shows a synapse from a biological brain, the inspiration behind its artificial analogue (right). The latter is a memristor device implemented as a ferro-electric tunnel junction - that is, a thin hafnium oxide film (pink) interlaid between a titanium nitride electrode (blue cable) and a silicon substrate (marine blue), which doubles up as the second electrode. Electric pulses switch the memristor between its high and low resistance states by changing hafnium oxide polarization, and therefore its conductivity. Credit: Elena Khavina/MIPT Press Office.

Neurocomputers, which enable artificial intelligence, emulate the way the brain works. It stores data in the form of synapses, a network of connections between the nerve cells, or neurons. Most neurocomputers have a conventional digital architecture and use mathematical models to invoke virtual neurons and synapses.

Alternatively, an actual on-chip electronic component could stand for each neuron and synapse in the network. This so-called analog approach has the potential to drastically speed up computations and reduce energy costs.

The core component of a hypothetical analogue neurocomputer is the memristor. The word is a portmanteau of "memory" and "resistor", which pretty much sums up what it is: a memory cell acting as a resistor. Loosely speaking, a high resistance encodes a zero, and a low resistance encodes a one. This is analogous to how a synapse conducts a signal between two neurons (one), while the absence of a synapse results in no signal, a zero.

But there is a catch: In an actual brain, the active synapses tend to strengthen over time, while the opposite is true for inactive ones. This phenomenon known as synaptic plasticity is one of the foundations of natural learning and memory. It explains the biology of cramming for an exam and why our seldom accessed memories fade.

Proposed in 2015, the second-order memristor is an attempt to reproduce natural memory, complete with synaptic plasticity. The first mechanism for implementing this involves forming nanosized conductive bridges across the memristor. While initially decreasing resistance, they naturally decay with time, emulating forgetfulness.

"The problem with this solution is that the device tends to change its behaviour over time and breaks down after prolonged operation", stated the study's lead author Anastasia Chouprik from MIPT's Neurocomputing Systems Lab. "The mechanism we used to implement synaptic plasticity is more robust. In fact, after switching the state of the system 100 billion times, it was still operating normally, so my colleagues stopped the endurance test."

Instead of nanobridges, the MIPT team relied on hafnium oxide to imitate natural memory. This material is ferro-electric: Its internal bound charge distribution - electric polarization - changes in response to an external electric field. If the field is then removed, the material retains its acquired polarization, the way a ferromagnet remains magnetized.

The physicists implemented their second-order memristor as a ferroelectric tunnel junction - two electrodes interlaid with a thin hafnium oxide film. The device can be switched between its low and high resistance states by means of electric pulses, which change the ferro-electric film's polarization and thus its resistance.

"The main challenge that we faced was figuring out the right ferro-electric layer thickness", Anastasia Chouprik added. "Four nanometers proved to be ideal. Make it just one nanometer thinner, and the ferro-electric properties are gone, while a thicker film is too wide a barrier for the electrons to tunnel through. And it is only the tunneling current that we can modulate by switching polarization."

What gives hafnium oxide an edge over other ferro-electric materials, such as barium titanate, is that it is already used by current silicon technology. For example, Intel has been manufacturing microchips based on a hafnium compound since 2007. This makes introducing hafnium-based devices like the memristor reported in this story far easier and cheaper than those using a brand-new material.

In a feat of ingenuity, the researchers implemented "forgetfulness" by leveraging the defects at the interface between silicon and hafnium oxide. Those very imperfections used to be seen as a detriment to hafnium-based microprocessors, and engineers had to find a way around them by incorporating other elements into the compound. Instead, the MIPT team exploited the defects, which make memristor conductivity die down with time, just like natural memories.

Vitalii Mikheev, the first author of the paper , shared the team's future plans: "We are going to look into the interplay between the various mechanisms switching the resistance in our memristor. It turns out that the ferro-electric effect may not be the only one involved. To further improve the devices, we will need to distinguish between the mechanisms and learn to combine them."

According to the physicists, they will move on with the fundamental research on the properties of hafnium oxide to make the nonvolatile random access memory cells more reliable. The team is also investigating the possibility of transferring their devices onto a flexible substrate, for use in flexible electronics.

Last year, the researchers offered a detailed description of how applying an electric field to hafnium oxide films affects their polarization. It is this very process that enables reducing ferro-electric memristor resistance, which emulates synapse strengthening in a biological brain. The team also works on neuromorphic computing systems with a digital architecture.

Source: Moscow Institute of Physics and Technology - MIPT

Back to Table of contents

Primeur weekly 2019-09-02

Quantum computing

DOE announces $21,4 million for quantum information science research ...

Quantum criticality could be a boon for qubit designers ...

DOE announces $60,7 million to advance quantum computing and networking ...

Atos delivers Quantum-Learning-as-a-Service to Xofia to enable artificial intelligence solutions ...

Entanglement sent over 50 km of optical fiber ...

Focus on Europe

MIPT physicists create device for imitating biological memory ...

Supercomputer Puhti at CSC Finland is now available for researchers ...

Hardware

Micron and WekaIO win Best of Show Award at the Flash Memory Summit 2019 ...

Tachyum joins CXL High-Speed Interconnect Consortium to advance breakthrough data centre performance ...

OSNEXUS announces QuantaStor 5.4 featuring scale-out NAS, IBM Key Protect integration, and storage firewall management ...

DIY: How to build a supercomputer ...

NVIDIA vComputeServer with NGC containers brings GPU virtualization to AI, Deep Learning and Data Science ...

Mellanox works with VMware and NVIDIA to enable high performance virtualized machine learning solutions ...

Mellanox introduces revolutionary ConnectX-6 Dx and BlueField-2 secure Cloud SmartNICs and I/O Processing Unit solutions ...

New modular supercomputing facility opens at NASA's Ames Research Center ...

Supermicro extends vSAN system portfolio for hyper-converged infrastructure and launches new high-performance vSAN solution ...

Applications

IBM gives artificial intelligence computing at MIT a lift ...

Break in temporal symmetry produces molecules that can encode information ...

Smarter experiments for faster materials discovery ...

Seagate and UC Santa Cruz collaboration poised to accelerate genomics data analysis ...

ORNL-Veterans Affiars collaboration targets veteran suicide epidemic ...

Messi versus Ronaldo: who's the GOAT? Computer model may help to settle the debate ...

Supercomputers pave the way for new machine learning approach ...

Altair expands AI data science solutions ...

The Cloud

Supercomputing in the Open Telekom Cloud ...