Versatile Titanium Carbide MXene Thin-Film Memristors with Adaptive Learning Behavior
Source abstract
Abstract
With the advent of the modern era, there is a huge demand for memristor-based neuromorphic computing hardware to overcome the von Neumann bottleneck in traditional computers. Here, we have prepared two-dimensional titanium carbide (Ti 3 C 2 T x ) MXene following the conventional HF etching technique in solution. After confirmation of Ti 3 C 2 T x properties by Raman scattering and crystallinity measurements, high-quality thin-film deposition is realized using an immiscible liquid–liquid interfacial growth technique. Following this, the memristor is fabricated by sandwiching a Ti 3 C 2 T x layer with a thickness of 70 nm between two electrodes. Subsequently, current–voltage ( I–V ) characteristics are measured, revealing a nonvolatile resistive switching property characterized by a swift switching speed of 30 ns and an impressive current On/Off ratio of approximately 10 3 . Furthermore, it exhibits endurance through 500 cycles and retains the states for at least 1 × 10 4 s without observable degradation. Additionally, it maintains a current On/Off ratio of about 10 2 while consuming only femtojoules (fJ) of electrical energy per reading. Systematic I–V results and conductive AFM-based current mapping image analysis are converged to support the electroforming mediated filamentary conduction mechanism. Furthermore, our Ti 3 C 2 T x memristor was found to be truly versatile as an all-in-one device for demonstrating edge computation, logic gate operation, and classical conditioning of learning by the brain in Psychology.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · MXene and MAX Phase Materials · Ferroelectric and Negative Capacitance Devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
eNDR Laboratory, School of Physics, IISER Thiruvananthapuram, Trivandrum, Kerala 695551, India
Funding
University Grants Commission · Science and Engineering Research Board
References (36)
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