On-demand optical printing of Ag-based neuromorphic devices for brain-inspired learning

Bharath Bannur; Sajan D. George

doi:10.1039/d6tc00516k

January 1, 2026Journal of Materials Chemistry COpen Access

On-demand optical printing of Ag-based neuromorphic devices for brain-inspired learning

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Key Points

The research aims to develop Ag-based neuromorphic devices through optical printing to enhance brain-inspired learning capabilities.
Utilized optical printing techniques for device fabrication
Designed devices to facilitate integrated memory and computation
Analyzed the performance in mimicking biological neural functions
Successfully created neuromorphic devices using Ag-based materials
Devices demonstrated improved integration of memory and computation
Performance shows potential to address limitations of traditional computing architectures

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Implication

This research demonstrates a novel method for creating devices that mimic brain functions, suggesting advances in neuromorphic computing.

Abstract

Neuromorphic computing, where memory and computation occur in the same physical system, promises to overcome the von Neumann bottleneck by mimicking the massively parallel architecture of biological neural networks. Self-formed...

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Cite This Study

Bannur et al. (2026) studied this question.

synapsesocial.com/papers/69e9b91385696592c86ec026 https://doi.org/10.1039/d6tc00516k

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On-demand optical printing of Ag-based neuromorphic devices for brain-inspired learning

Key Points

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Implication

Abstract

Discussion

Cite This Study

On-demand optical printing of Ag-based neuromorphic devices for brain-inspired learning

Key Points

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Implication

Abstract

Discussion

Cite This Study

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