All-in-one neuromorphic hardware with 2D material technology: current status and future perspective.

Area of Science:

• Materials Science
• Computer Engineering
• Nanotechnology

Background:

• The exponential growth of data necessitates novel computing architectures beyond traditional von Neumann designs.
• Two-dimensional (2D) materials exhibit unique properties like high carrier mobility and excellent physical responsivity, making them suitable for advanced applications.
• Integration of 2D materials with complementary metal-oxide-semiconductor (CMOS) technology is crucial for next-generation electronics.

Purpose of the Study:

• To provide a comprehensive review of 2D material-based sensing devices for human senses.
• To explore the integration of these sensing devices with computation and memory units.
• To highlight advancements in 2D material-based sensing, memory, and computation arrays for human-mimicking data processing.

Main Methods:

• Literature review of recent advancements in 2D material-based sensing devices.
• Analysis of the integration of 2D materials with CMOS technology for computing and memory.
• Exploration of all-in-one 2D material arrays for sensory-cognitive systems.

Main Results:

• Development of 2D material-based sensors capable of detecting various stimuli relevant to human senses.
• Successful integration of 2D sensing devices with computation and memory functionalities.
• Emergence of all-in-one 2D material arrays demonstrating potential for human-mimicking data processing.

Conclusions:

• 2D materials are pivotal for developing advanced sensory-cognitive systems.
• Integration with CMOS technology unlocks the potential of 2D materials for neuromorphic computing.
• These advancements pave the way for future human-mimicking data processing technologies.