journal article·2020-11-25

Mixed-Phase TiO2 Nanotube–Nanorod Hybrid Arrays for Memory-Based Resistive Switching Devices

Priyanka Bamola, Bharti Singh, Aranya Bhoumik, Mohit Sharma, Charu Dwivedi, Mandeep Singh, Goutam K. Dalapati, Himani Sharma

ACS Applied Nano Materials· Volume 3· Issue 11
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Abstract

Metal oxide nanostructure hybrid materials have garnered focused attention for next-generation memory-based devices. TiO2 nanostructure hybrids dwell in that league of materials. In reference to that, the present work reports the growth of mixed-phase TiO2 nanostructures (MxPh-TNs) and their hybrids by grafting metal nanoparticles (MNPs). MxPh-TNs are a concoction of rutile nanorods and anatase nanotubes, imaged using field-emission scanning electron microscope and further confirmed by micro-Raman spectroscopy. During the growth of MxPh-TNs, a rutile and anatase mixed-phase interface is formed, as confirmed by high-resolution transmission electron microscopy and X-ray photoelectron spectroscopy. Furthermore, by grafting MNPs of platinum (Pt) and palladium–platinum (Pd–Pt) over MxPh-TNs, a top interface is investigated in order to have modifications in their structure and electronic interaction. Thus, dual interfaces corresponding to a mixed phase (rutile and anatase) and MNPs/TNs result in the modification of formed nanostructures and their hybrids (MX-TNHs), as confirmed by X-ray photoelectron spectroscopy and Kelvin probe force microscopy (KPFM) studies. Modification at the interface results in improved crystallinity and symmetric barriers for charge transport in hybrid structures. MxPh-TNs and MX-TNHs are further explored for device applications in the form of memristive resistive switching devices. It is observed that the device performances of Pt/MX-TNHs and Pd–Pt/MX-TNHs are better than that of MxPh-TNs in terms of the memory window (ION/IOFF ratio). The improved device performance in the hybrid structures are due to the enhanced charge separation and defects at the interface of MNPs (Pt and Pd–Pt) and MxPh-TNs.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Transition Metal Oxide Nanomaterials · Gas Sensing Nanomaterials and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Functional Nanomaterials Research Laboratory, Department of Physics, Doon University, Dehradun, Uttarakhand 248001, India

Department of Applied Physics, Delhi Technological University, Rohini, Delhi 110042, India

Institute of Materials Research and Engineering, A*STAR (Agency for Science, Technology and Research), 2 Fusionopolis Way, Innovis, No. 08-03, Singapore 138634, Singapore

Department of Chemistry, Doon University, Dehradun, Uttarakhand 248001, India

Department of Physics, Guru Nanak Dev University, Amritsar, Punjab 143005, India

Department of Physics, SRM University-AP, Amaravati 522502, India

School of Engineering & Innovation, The Open University, Milton Keynes MK7 6AA, U.K.

Center for Nanofibers and Nanotechnology, Mechanical Engineering Department, National University of Singapore, Singapore 117576, Singapore

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