Advanced Functional Materials · 2012 · 350 citations · 33 references
EngineeringNanodevicesEmerging Memory TechnologyComputer ArchitecturePhase Change MemorySocial SciencesElectronic DevicesComputing SystemsParallel FactorizationMemory DeviceMemory DevicesNeuromorphic DevicesNeuromorphic EngineeringPhase‐change SynapseBeyond Von‐neumannBiophysicsNanotechnologyComputer EngineeringArithmetic ComputingNanophysicsSynaptic PlasticityNeuroengineeringCellular NeuroscienceComputational NeuroscienceBioelectronicsApplied PhysicsQuantum DevicesNeuroscience
Phase‑change materials have traditionally served as non‑volatile memories, but recent work shows their multilevel resistance can emulate synaptic behavior for brain‑like computing. The study aims to exploit the intrinsic accumulation property of nanoscale phase‑change devices to enable powerful arithmetic computing. By leveraging accumulation, the authors use nanoscale phase‑change cells to perform arithmetic operations and implement a simple integrate‑and‑fire neuron that combines synaptic and neuronal functions. They demonstrate parallel factorization, fractional division, and a basic integrate‑and‑fire neuron, illustrating efficient, simultaneous data processing and storage for beyond von‑Neumann computing.
Abstract Historically, the application of phase‐change materials and devices has been limited to the provision of non‐volatile memories. Recently, however, the potential has been demonstrated for using phase‐change devices as the basis for new forms of brain‐like computing, by exploiting their multilevel resistance capability to provide electronic mimics of biological synapses. Here, a different and previously under‐explored property that is also intrinsic to phase‐change materials and devices, namely accumulation, is exploited to demonstrate that nanometer‐scale electronic phase‐change devices can also provide a powerful form of arithmetic computing. Complicated arithmetic operations are carried out, including parallel factorization and fractional division, using simple nanoscale phase‐change cells that process and store data simultaneously and at the same physical location, promising a most efficient and effective means for implementing beyond von‐Neumann computing. This same accumulation property can be used to provide a particularly simple form phase‐change integrate‐and‐fire “neuron”, which, by combining both phase‐change synapse and neuron electronic mimics, potentially opens up a route to the realization of all‐phase‐change neuromorphic processing.
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