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In Situ Transmission Electron Microscopy with Biasing and Fabrication of Asymmetric Crossbars Based on Mixed-Phased a-VOx

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Oxovanadium electronics for in-memory, neuromorphic, and quantum computing applications.

Kirill Yu Monakhov¹

¹Leibniz Institute of Surface Engineering (IOM), Permoserstr. 15, Leipzig 04318, Germany. kirill.monakhov@iom-leipzig.de.

Materials Horizons

|February 9, 2024

Summary

Vanadium is emerging as a key element for advanced computing, enabling quantum information processing and efficient memory technologies. Research into vanadium-based materials promises innovative, resource-efficient electronic devices.

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Area of Science:

Materials Science
Quantum Computing
Solid-State Physics

Background:

Vanadium is a critical raw material with potential applications in future computer devices.
Emerging technologies require innovative materials for quantum information processing and advanced computing architectures.

Purpose of the Study:

To explore the R&D of vanadium-containing electronic materials for innovative hybrid semiconductors.
To investigate the potential of vanadium oxo complexes in creating novel electronic devices with tunable nanophysics.

Main Methods:

Combining standard and emerging solid-state semiconductors with vanadium(IV,V) oxo complexes.
Developing vanadium-based circuitry for Boolean logics and memristive cells.
Exploring stimuli-responsive properties of vanadium complexes for device applications.

Main Results:

Envisioning electronics with room-temperature device nanophysics controllable at the sub-nanometer level.
Potential for developing in-memory computing using crossbar arrays of memristive cells.
Exploring neuromorphic computing via dynamic electrical pulses and quantum computing via spin networks.

Conclusions:

Vanadium-based materials are crucial for the next generation of energy- and resource-efficient memory and information processing.
The integration of vanadium oxo complexes offers new pathways for advanced electronic functionalities.
Strategic importance lies in developing vanadium circuitry for quantum, in-memory, and neuromorphic computing applications.