{"title":"Low-variability, high-endurance memristive behavior in Tungsten-functionalized GO Based Cu doped NiO nanocomposites for next-generation memory devices","authors":"B.V. Solanke , N.D. Raskar , D.V. Dake , V.A. Mane , R.B. Sonpir , G.D. Raylkar , K.M. Chavan , S.S. Munde , P.R. Kayande , B.N. Dole","doi":"10.1016/j.matchemphys.2025.131352","DOIUrl":null,"url":null,"abstract":"<div><div>A tungsten-functionalized graphene oxide-based Cu-doped NiO (GCNO) nanocomposite was synthesized via a hydrothermal method and evaluated for memristor applications. The GCNO exhibited a high surface area of 249.04 m<sup>2</sup>/g and mesoporosity (∼0.498 cc/g), enabling efficient ion transport and redox activity. Structural tuning led to a reduced crystallite size of 12.04 nm and enhanced microstrain (0.93 %), promoting high oxygen vacancy concentration for stable switching. Electrical testing revealed a symmetric, pinched I–V hysteresis loop with a stable and measurable ON/OFF ratio, low resistance (0.109 μΩ), and dual conduction mechanisms: Schottky emission at low bias and filamentary switching at high bias. The device demonstrated excellent endurance, stable retention over 500's, and low variability between high and low resistance states across cycles. These results establish GCNO as a robust candidate for next-generation non-volatile memory and neuromorphic computing.</div></div>","PeriodicalId":18227,"journal":{"name":"Materials Chemistry and Physics","volume":"346 ","pages":"Article 131352"},"PeriodicalIF":4.7000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Chemistry and Physics","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0254058425009988","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A tungsten-functionalized graphene oxide-based Cu-doped NiO (GCNO) nanocomposite was synthesized via a hydrothermal method and evaluated for memristor applications. The GCNO exhibited a high surface area of 249.04 m2/g and mesoporosity (∼0.498 cc/g), enabling efficient ion transport and redox activity. Structural tuning led to a reduced crystallite size of 12.04 nm and enhanced microstrain (0.93 %), promoting high oxygen vacancy concentration for stable switching. Electrical testing revealed a symmetric, pinched I–V hysteresis loop with a stable and measurable ON/OFF ratio, low resistance (0.109 μΩ), and dual conduction mechanisms: Schottky emission at low bias and filamentary switching at high bias. The device demonstrated excellent endurance, stable retention over 500's, and low variability between high and low resistance states across cycles. These results establish GCNO as a robust candidate for next-generation non-volatile memory and neuromorphic computing.
期刊介绍:
Materials Chemistry and Physics is devoted to short communications, full-length research papers and feature articles on interrelationships among structure, properties, processing and performance of materials. The Editors welcome manuscripts on thin films, surface and interface science, materials degradation and reliability, metallurgy, semiconductors and optoelectronic materials, fine ceramics, magnetics, superconductors, specialty polymers, nano-materials and composite materials.