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01003001 Advanced Systems Architecture
02007005 Composite materials
02007021 Carbon nanotubes
05001002 Computational Chemistry and Modelling
02001006 Micro computers (personal and very small)
02005017 Other memory devices (excluding semiconductors)
08001008 Membranes and membrane-based products
08001009 Speciality/performance materials: producers and fabricators
License agreement
Technical cooperation agreement
New class of computing devices with memory based on graphene nanocomposites
POD Reference: Profile Type: Date: |
NSU 12876 TO 20.01.2022 |
Annotation
A Russian University laboratory developed a number of models of of mem-capacitors - computing devices with memory based on graphene nanocomposites. This class of devices has an architecture with a significantly greater speed, lower power consumption compared to analogues. It allows avoiding the memory-processor bandwidth problem of the device. The laboratory is looking for partners for technical cooperation, licensing or commercial agreements with technical assistance.Description
Princeton architecture (or von Neumann architecture) is ubiquitous in modern computing devices. One of the most serious bottlenecks of this architecture is the limitation of bandwidth between the processor and memory compared to the amount of memory. Due to the fact that the processor speed and memory size increase much faster than the bandwidth between them, the bottleneck has become a big problem, the seriousness of which increases with each new generation of processors. To solve this problem, university staff (Novosibirsk) obtained a new class of electronic devices with memory, the so-called capacitors with memory or memory capacitors, with the aim of introduction. Using various types of graphene nanocomposites, the possibilities of creating such devices were investigated, as well as a fundamental understanding of the possibilities of their functioning was achieved. As a result of research, models of devices were developed at the microscopic level and in conditions of a working chain of elements. The implementation of these devices allows one to create a foundation for developing the elemental base – mem-capacitors based on graphene membranes and ferroelectrics - computing devices of the new generation, which have significantly higher performance and lower energy costs compared to traditional ones. Algorithms of logical operations implemented using memory elements let one push the boundaries of the computer technologies application field and overcome the problems of currently existing computer architectures. The introduction of these devices contributes to the creation of artificial neural networks - mathematical models, as well as their software and hardware implementations, built on the principle of organization and functioning of biological neural networks. The implementation of neural networks is used in a wide range of areas such as economics and business, medicine and health care, communications, the Internet, production automation, political science and sociology technology, geological exploration, and others. The laboratory is looking for partners for R & D, licensees for the provision of a non-exclusive license, industrial partners for the introduction of the developed technology into production.Advantages and Innovations
Innovative aspects consist in the process of creation devices with - significantly higher speed, - lower energy costs compared to traditional ones. The use of mem-capasitors expands the field of applicability of computer technology and allows to overcome the problems of currently existing computer architectures (for example, von Neumann architecture). On the basis of these devices, work on the construction and operation of artificial neural networks, which are now widely used in the field of machine learning and data analysis, is accelerated.Stage of Development
Available for demonstrationTechnology Keywords
01002007 Nanotechnologies related to electronics & microelectronics01003001 Advanced Systems Architecture
02007005 Composite materials
02007021 Carbon nanotubes
05001002 Computational Chemistry and Modelling
Market Keywords
02001005 Mini and micro computers02001006 Micro computers (personal and very small)
02005017 Other memory devices (excluding semiconductors)
08001008 Membranes and membrane-based products
08001009 Speciality/performance materials: producers and fabricators
IPR status
Secret Know-how
Cooperation
Type of Partnership Considered
Commercial agreement with technical assistanceLicense agreement
Technical cooperation agreement
Type of Partner Sought
IndustryPartner Area
Manufacturers of computing devices, accessories, computing equipment, stationary and mobile installations.Role of Partner Sought
Industrial production of computing devices based on graphene nanocomposites.Preferred Countries for Dissemination
Austria; Belarus; Belgium; Brazil; BRICS; Bulgaria; China; Croatia; Cyprus; Czech Republic; Denmark; Estonia; EU Countries; Finland; France; Germany; Greece; Hungary; India; Ireland; Italy; Kazakhstan; Kyrgyzstan; Latvia; Lithuania; Luxembourg; Malta; Netherlands; Poland; Portugal; Romania; Russian Federation; Slovakia; Slovenia; South Africa; Spain; Sweden; United Kingdom;
Author
Type and Size of Client
UniversityRegion
Novosibirsk Oblast
Center
Center
Novosibirsk State UniversityRegion
Novosibirsk OblastWeb site
www.nsu.ru
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