Maximizing Magnetoelectric Energy Harvesting via 2D Material-Based Layer Transfer

Magnetoelectric (ME) energy converters utilize the magnetoelectric coupling effect to generate an electric response from an applied magnetic field, or vice versa. Although there are excellent piezoelectric and magnetostrictive materials with their highest coefficient, they cannot be stacked each other epitaxially due to their inherent mismatch in their crystalline structures. In addition, due to substrate clamping effects, those excellent piezoelectric and magnetostrictive thin film materials cannot outperform. In this talk, I will discuss about my group’s strategy to maximize ME coupling efficiency by utilizing a 2D material-based layer transfer technique (2DLT). 2DLT is enabled by growing piezoelectric and magnetostrictive epitaxial films on graphene via remote epitaxy which allows to produce freestanding piezoelectric and magnetostrictive by peeling them off from graphene. Then both clamping-free membranes were bonded each other resulting in the best ME coupling devices. I will also discuss about other application spaces of 2DLT and remote epitaxy. <br/><br/>Conventional memristors typically utilize a defective amorphous solid as a switching medium for defect-mediated formation of conducting filaments. However, the imperfection of the switching medium also causes stochastic filament formation leading to spatial and temporal variation of the devices. Thus, it has been extremely challenging to reliably operate large-scale neural networks made of memristor crossbars. In this talk, I will discuss about our group’s material strategies to enhance the reliability of memristor-based crossbar arrays. In addition, I present strategies to utilize small scale crossbar arrays for in-sensor/edge computing. Lastly, will introduce optical heterogeneous integration system that enables seamless 3D stacking of small-scale crossbar arrays to enhance the recognition capability.