2015
DOI: 10.1038/srep10150
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Characterization and Modeling of Nonfilamentary Ta/TaOx/TiO2/Ti Analog Synaptic Device

Abstract: A two-terminal analog synaptic device that precisely emulates biological synaptic features is expected to be a critical component for future hardware-based neuromorphic computing. Typical synaptic devices based on filamentary resistive switching face severe limitations on the implementation of concurrent inhibitory and excitatory synapses with low conductance and state fluctuation. For overcoming these limitations, we propose a Ta/TaOx/TiO2/Ti device with superior analog synaptic features. A physical simulatio… Show more

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Cited by 170 publications
(97 citation statements)
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“…For accurate calculations of thermal conductivity and phonon transport, it normally takes a much longer simulation time (10–100 ns) for data convergence, which is typically out‐of‐reach by most ab initio methods. In the past, both force‐field based equilibrium and nonequilibrium classical MD simulations have been successfully applied to predict thermal conductivities of different material systems . Furthermore, MD simulations can also incoporate temperature‐induced anharmonic effects, which plays a significant role in the thermal conductivity at finite temperatures .…”
Section: Introductionmentioning
confidence: 99%
“…For accurate calculations of thermal conductivity and phonon transport, it normally takes a much longer simulation time (10–100 ns) for data convergence, which is typically out‐of‐reach by most ab initio methods. In the past, both force‐field based equilibrium and nonequilibrium classical MD simulations have been successfully applied to predict thermal conductivities of different material systems . Furthermore, MD simulations can also incoporate temperature‐induced anharmonic effects, which plays a significant role in the thermal conductivity at finite temperatures .…”
Section: Introductionmentioning
confidence: 99%
“…11) and so on), Ag-Si/Ag-S nanocomposites12 or phase change materials13. Recently, STDP was demonstrated in individual devices based on such memristor technologies, confirming the potential of memristors for autonomous learning1314151617181920. However, the connection between the STDP process and the physical mechanisms underlying resistance changes in these memristors is unclear7.…”
mentioning
confidence: 98%
“…Finally, the controllable nature of the characterization routine has the added benefit of not requiring a current compliance mechanism for state selection. Current compliance (CC) is a common method used to control the resistance of the device, however, at the cost of increased energy usage [14], [15]. Instead, in our case, by sequentially and gradually pulsing the device at a controllable manner we ensure that only the minimum required amount of programming energy is used to switch the device to a higher (or lower) level.…”
Section: Resultsmentioning
confidence: 99%