Bipolar Cu/HfO₂/p⁺⁺ Si Memristors by Sol-Gel Spin Coating Method and Their Application to Environmental Sensing.

ABSTRACT: In this paper, the memristive switching behavior of Cu/ HfO₂/p⁺⁺ Si devices fabricated by an organic-polymer-assisted sol-gel spin-coating method, coupled with post-annealing and shadow-mask metal sputtering steps, is examined. HfO₂ layers of about 190?nm and 80?nm, are established using cost-effective spin-coating method, at deposition speeds of 2000 and 4000 rotations per minute (RPM), respectively. For two types of devices, the memristive characteristics (V_on, I_on, and V_reset) and device-to-device electrical repeatability are primarily discussed in correlation with the oxide layer uniformity and thickness. The devices presented in this work exhibit an electroforming free and bipolar memory-resistive switching behavior that is typical of an Electrochemical Metallization (ECM) I-V fingerprint. The sample devices deposited at 4000 RPM generally show less variation in electrical performance parameters compared to those prepared at halved spin-coating speed. Typically, the samples prepared at 4000 RPM (n?=?8) display a mean switching voltage V_on of 3.0?V (±0.3) and mean reset voltage V_reset of -1.1?V (±0.5) over 50 consecutive sweep cycles. These devices exhibit a large R_off/R_on window (up to 10⁴), and sufficient electrical endurance and retention properties to be further examined for radiation sensing. As they exhibit less statistical uncertainty compared to the samples fabricated at 2000 RPM, the devices prepared at 4000 RPM are tested for the detection of soft gamma rays (emitted from low-activity Cs-137 and Am-241 radioactive sources), by assessing the variation in the on-state resistance value upon exposure. The analysis of the probability distributions of the logarithmic R_on values measured over repeated ON-OFF cycles, before, during and after exposing the devices to radiation, demonstrate a statistical difference. These results pave the way for the fabrication and development of cost-effective soft-gamma ray detectors.

SUBMITTER: Abdul Hadi S 

PROVIDER: S-EPMC6620357 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature