TY - JOUR AU - Tian, Ye AU - Guo, Chuangfei AU - Guo, Shengming AU - Yu, Taifung AU - Liu, Qian PY - 2014 TI - Bivariate-continuous-tunable interface memristor based on Bi2S3 nested nano-networks JO - Nano Research SN - 1998-0124 SP - 953 EP - 962 VL - 7 IS - 7 AB - A memristor that can emulate biological synapses is a promising basic-processing unit in neural-network computation. Here we propose a new-conceptual memristor based on a memoristive interface composed of two types of non-memristive materials, successfully realizing continuously tunable resistance controlled by both voltage (current) and applied time of a single pulse with a swift response comparable with synapses. The brain-like memorizing capability of the memristor is demonstrated. The memoristive mechanism in the interface is thought to be dominated by a Schottky barrier tuned by the capture/release of the carriers in interface traps with dispersive energy. UR - https://doi.org/10.1007/s12274-014-0456-5 DO - 10.1007/s12274-014-0456-5