Y<sub>2</sub>O<sub>3</sub>-Based Crossbar Array for Analog and Neuromorphic Computation
Sanjay Kumar, Dhananjay D. Kumbhar, Jun Hong Park, Rajanish K. Kamat, Tukaram D. Dongale, Shaibal Mukherjee
Abstract
Here, we report an implementation of ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$8\times8$ </tex-math></inline-formula> ) <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Y}_{{2}}\text{O}_{{3}}$ </tex-math></inline-formula> -based memristive crossbar array (MCA) out of a total dimension of ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$30\times25$ </tex-math></inline-formula> ) array fabricated by utilizing a dual ion beam sputtering (DIBS) system. The selected ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$8\times8$ </tex-math></inline-formula> ) MCA is further used to electrically write random alphabets and perform synaptic learning characteristics to perform analog and neuromorphic computing applications. The MCA effectively exhibits multiple current levels and mimics various artificial synaptic properties with superior bidirectional switching responses. The MCA mimics potentiation, depression, and different Hebbian learning-based spike-time-dependent plasticity rules, suggesting the importance of the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Y}_{{2}}\text{O}_{{3}}$ </tex-math></inline-formula> -based MCA for large-scale neuromorphic and analog computations. This work provides different insights into the design of an artificial synapse by utilizing <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Y}_{{2}}\text{O}_{{3}}$ </tex-math></inline-formula> as a switching oxide in memristors.