Long wave infrared detection using probabilistic spintronic bolometer arrays
Utkarsh Singh, Leif Bauer, Angshuman Deka, Mohamed Mousa, Daien He, Sakshi Gupta, Bhagwati Prasad, Zubin Jacob
TL;DR
This work targets high-speed, high-pixel-density LWIR detection using digital-mode probabilistic spintronic bolometers (SUN) integrated with plasmonic nanoantennas. They demonstrate a scalable 2x2 row-column multiplexed SUN bolometer array with a plasmonic transduction layer, achieving broadband readout from 9 kHz to 3 GHz and high count rates on the order of tens of thousands to millions counts per second. The device relies on stochastic Magnetic Tunnel Junctions whose magnetization flips follow Poisson statistics; infrared heating increases the transition rate, yielding a digital count signal. The paper discusses advantages of row-column multiplexing for scaling to sub-micron pixels, the potential CMOS-compatibility, and the first array demonstration of row-column multiplexed stochastic MTJs, with measurements including NEDT $NEDT = rac{C_n}{(dC/dT)}$ and broadband operation, suggesting promise for near-field IR sensing and microscopy.
Abstract
The use of probabilistic spintronic devices for infrared radiation detection has introduced a shift in approach to thermal imaging. The integration of probabilistic magnetic tunnel junctions with infrared plasmonic nano-antennas achieves high-sensitivity digital-mode infrared sensors at room temperature. Here, we present a scalable approach towards multipixel plasmonic-spintronic bolometer array fabrication and readout. We fabricate proof-of-concept 2x2 row-column multiplexed probabilistic plasmonic sprintronic arrays and show their response to long-wave infrared radiation (8-14um) with high readout speeds (10K-1M counts per second). These spintronic, ultrafast, nanoscale (SUN) bolometers can result in novel high-pixel density CMOS compatible infrared detection platforms. Our work provides a broadband (9kHz to 3GHz) readout platform for future digital probabilistic detector applications. Furthermore, our approach addresses a key challenge associated with scaling infrared pixel sizes that can drive progress towards high pixel density detector arrays for infrared sensing and microscopy applications.
