Efficient Scalable MoO<sub>3</sub> Decorated PSi Based Optical Memristor Devices
This letter presents the development of wafer scalable optical memristor devices using molybdenum trioxide (MoO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub>) decorated porous silicon (PSi). The devices were tested with electrical and optical stimuli at room temperature. The test results have shown that the MoO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> decorated PSi based memristor offers improved performance metrics like high responsivity (826mA/W), high detectivity (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.08\times 10^{\mathbf {11}}$ </tex-math></inline-formula>Jones), fast response speed (84.1/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$80.1\mu $ </tex-math></inline-formula>s), high paired pulse facilitation (PPF) index (461 %) and high endurance (100 cycles). The value of the responsivity is <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim 3\times 10^{\mathbf {2}}$ </tex-math></inline-formula> times and ~4.5 times higher than PSi and MoO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> based devices respectively. The MoO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> decorated PSi device is highly repeatable, reliable and reproducible for ultrafast varying signals. These developed devices can be used for broadband light sensing as well as resistive switching applications.
Authors
- Priyanka Dwivedi (ORCID: https://orcid.org/0000-0002-4558-819X)
- Ashutosh Kumar Dikshit (ORCID: https://orcid.org/0000-0002-2542-9888)
- B Sharmila
Institutions
- Indian Institute of Information Technology Guwahati (IN)
- Indian Institute of Technology BHU (IN)
- Banaras Hindu University (IN)
Publication Details
- Journal
- IEEE Photonics Technology Letters
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1109/lpt.2025.3554023
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00