Measurement of the Crystallization and Phase Transition of Niobium Dioxide Thin-Films for Neuromorphic Computing Applications Using a Tube Furnace Optical Transmission System
<|reference_start|>Measurement of the Crystallization and Phase Transition of Niobium Dioxide Thin-Films for Neuromorphic Computing Applications Using a Tube Furnace Optical Transmission System: Significant research has focused on low-power stochastic devices built from memristive materials. These devices foster neuromorphic approaches to computational efficiency enhancement in merged biomimetic and CMOS architectures due to their ability to phase transition from a dielectric to a metal at an increased temperature. Niobium dioxide has a volatile memristive phase change that occurs $\sim$800$^\circ$C~that makes it an ideal candidate for future neuromorphic electronics. A straightforward optical system has been developed on a horizontal tube furnace for \emph{in situ} spectral measurements as an as-grown \NbtOf\ film is annealed and ultimately crystallizes as \NbOt. The system measures the changing spectral transmissivity of \NbtOf\ as it undergoes both reduction and crystallization processes. We were also able to measure the transition from metallic-to-non-metallic \NbOt\ during the cooldown phase, which is shown to occur about 100$^\circ$C~ lower on a sapphire substrate than fused silica. After annealing, the material properties of the \NbtOf\ and \NbOt\ were assessed via X-ray photoelectron spectroscopy, X-ray diffraction, and 4-point resistivity, confirming that we have made crystalline \NbOt.<|reference_end|>
@article{robinson2024measurement,
    title={Measurement of the Crystallization and Phase Transition of Niobium
  Dioxide Thin-Films for Neuromorphic Computing Applications Using a Tube
  Furnace Optical Transmission System},
    author={Zachary R. Robinson, Karsten Beckmann, James Michels, Vincent Daviero,
  Elizabeth A. Street, Fiona Lorenzen, Matthew C. Sullivan, Nathaniel Cady,
  Alexander Kozen, Marc Currie},
    journal={arXiv preprint arXiv:2406.13523},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.13523},
    primaryClass={physics.app-ph cond-mat.mtrl-sci cs.ET}
}