High-performance one-dimensional halide perovskite crossbar memristors and synapses for neuromorphic computing
Sujaya Kumar Vishwanath, Benny Febriansyah, Si En Ng, Tisita Das, Jyotibdha Acharya, Rohit Abraham John, Divyam Sharma, Putu Andhita Dananjaya, Metikoti Jagadeeswararao, Naveen Tiwari, Mohit Ramesh Chandra Kulkarni, Wen Siang Lew, Sudip Chakraborty, Arindam Basu, Nripan Mathews
Abstract
s) and high endurance (2000 cycles). Finally, we put forth a universal approach to comprehensively map the analog programming window of halide perovskite memristive devices - a critical prerequisite for weighted synaptic connections in artificial neural networks. This consequently facilitates the demonstration of accurate handwritten digit recognition from the MNIST database based on spike-timing-dependent plasticity of halide perovskite memristive synapses.
Topics & Concepts
Neuromorphic engineeringCrossbar switchMemristorHalidePerovskite (structure)Materials sciencePyridiniumOptoelectronicsArtificial neural networkNanotechnologyComputer scienceElectronic engineeringChemistryChemical engineeringTelecommunicationsArtificial intelligenceEngineeringInorganic chemistryMedicinal chemistryAdvanced Memory and Neural ComputingPerovskite Materials and ApplicationsConducting polymers and applications