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First principles investigation of oxygen vacancies filaments in polymorphic Titania and their role in memristor's applications

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  • Kousar, Farhana
  • Rasheed, Umbreen
  • Khalil, R. M. Arif
  • Niaz, Niaz Ahmad
  • Hussain, Fayyaz
  • Imran, Muhammad
  • Shakoor, Umema
  • Algadi, Hassan
  • Ashiq, Naeem

Abstract

Inconsistency of resistive switching parameters in memristors is a major challenge in the development of memory devices. These variability issues can be resolved by using materials having capability of easily growing conducting filaments and less value of oxygen vacancy formation energy (OVFE). In this first principle study, device to device variability by the electronic modification subsequently with the creation of the oxygen vacancies in TiO2 phases have been investigated using density functional theory. The lattice constants, OVFE, density of states (DOS), partial density of states (PDOS), iso-surface charge density and integrated charge density are calculated to understand the structural and electronic properties of polytype TiO2 with single-, di- and tri-oxygen vacancy (Vo) at atomistic level. It is found that by introducing the Vos, defect states are formed within the band gap, which caused to increase the conductivity of crystalline phases of TiO2. The conductivity of the phases increased with increasing number of Vos resulting in low resistance state of the opted phase. Existence of various stages of CFs and formation energy at various concentration of Vos predicts the implementation of constructive role of noise to enhance the efficiency and stability of the Titania based memristors. On the basis of easily growing conducing filaments having higher concentration of Vos with lesser OVFE, it is predicted that brookite phase of TiO2 having 3Vos is more suitable in overcoming inconsistency issues related to resistive switching in low power consuming memristors devices.

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  • Kousar, Farhana & Rasheed, Umbreen & Khalil, R. M. Arif & Niaz, Niaz Ahmad & Hussain, Fayyaz & Imran, Muhammad & Shakoor, Umema & Algadi, Hassan & Ashiq, Naeem, 2021. "First principles investigation of oxygen vacancies filaments in polymorphic Titania and their role in memristor's applications," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
  • Handle: RePEc:eee:chsofr:v:148:y:2021:i:c:s0960077921003787
    DOI: 10.1016/j.chaos.2021.111024
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    1. Shchanikov, Sergey & Zuev, Anton & Bordanov, Ilya & Danilin, Sergey & Lukoyanov, Vitaly & Korolev, Dmitry & Belov, Alexey & Pigareva, Yana & Gladkov, Arseny & Pimashkin, Alexey & Mikhaylov, Alexey & K, 2021. "Designing a bidirectional, adaptive neural interface incorporating machine learning capabilities and memristor-enhanced hardware," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
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    1. Jeong, Dong Geun & Park, Eunpyo & Jo, Yooyeon & Yang, Eunyeong & Noh, Gichang & Lee, Dae Kyu & Kim, Min Jee & Jeong, YeonJoo & Jang, Hyun Jae & Joe, Daniel J. & Chang, Jiwon & Kwak, Joon Young, 2024. "Grain boundary control for high-reliability HfO2-based RRAM," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    2. Koryazhkina, M.N. & Filatov, D.O. & Shishmakova, V.A. & Shenina, M.E. & Belov, A.I. & Antonov, I.N. & Kotomina, V.E. & Mikhaylov, A.N. & Gorshkov, O.N. & Agudov, N.V. & Guarcello, C. & Carollo, A. & S, 2022. "Resistive state relaxation time in ZrO2(Y)-based memristive devices under the influence of external noise," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).

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