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Updated: Sep 11, 2025
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Assessment of Long-term Depression Induction in Adult Cerebellar Slices
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Second-Order Synaptic Memory using Inherent Plasticity of Moiré Superlattices
Tanweer Ahmed1, Kenji Watanabe2, Takashi Taniguchi3
1CIC nanoGUNE, BRTA, Donostia-San Sebastian, Basque Country, 20018, Spain.
Advanced Materials (Deerfield Beach, Fla.)
|August 16, 2025
Summary
Researchers developed a novel synaptic memory device using twisted double bilayer graphene (tDBLG) moiré superlattices. This carbon-based material exhibits electronic plasticity and tunable nonlinearity, paving the way for energy-efficient neuromorphic computing.
Area of Science:
- Condensed Matter Physics
- Materials Science
- Quantum Computing
Background:
- Achieving electronic synaptic functionality in single-element quantum materials is challenging.
- Conventional methods often require extrinsic charge-traps or polar components.
Purpose of the Study:
- To demonstrate electronic hysteresis and plasticity in twisted double bilayer graphene (tDBLG) moiré superlattices.
- To harness these properties for a second-order synaptic memory device.
Main Methods:
- Fabrication of tDBLG moiré superlattices with twist-angle disorder.
- Characterization of electronic hysteresis, plasticity, and second-order nonlinear electrical response.
- Tuning of nonlinearity via carrier concentration and vertical displacement fields.
Main Results:
- tDBLG moiré superlattices exhibit electronic hysteresis and plasticity.
- Inversion symmetry breaking leads to tunable second-order nonlinear electrical response.
- A second-order synaptic memory device was successfully realized.
Conclusions:
- Strained moiré carbon systems offer a new platform for energy-efficient neuromorphic computing.
- Complex electronic functionality can emerge from symmetry-breaking physics in single-element materials.
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