The interfaces between the absorber and charge transport layers are shown to be critical for the performance of perovskite solar cells (PSCs). PSCs based on the Spiro-OMeTAD hole transport layers generally suffer from the problems of stability and reproducibility. Inorganic hole transport materials CuCrO 2 have good chemical stability and high hole mobility. Herein, we reported the preparation of the delafossite-type CuCrO 2 nanocrystals with a template-etching-calcination method and the incorporation of the as-obtained CuCrO 2 nanocrystals at the perovskite/ Spiro-OMeTAD interfaces of planar PSCs to improve the device efficiency and stability. Compared with the traditional hydrothermal method, the template-etchingcalcination method used less calcination time to prepare CuCrO 2 nanocrystals. After the CuCrO 2 interface modification, the efficiency of PSCs improved from 18.08% to 20.66%. Additionally, the CuCrO 2 -modified PSCs showed good stability by retaining nearly 90% of the initial PCE after being stored in a drybox for 30 days. The template-etching-calcination strategy will pave a new approach for the synthesis of high-performance inorganic hole-transporting materials.
In a fiber optic gyroscope rotational inertial navigation system
(RINS), attitude errors may change after vibration due to the change
of misalignment angles. There are two kinds of misalignment angles
which can cause the same attitude errors: the one is misalignment
angles of gyroscopes, and the other is misalignment angles between
input axis of gyroscope and rotating gimbal axis. Thus, it is
difficult to calibrate any kind of misalignment angles by attitude
errors alone. Self-calibration methods can separate and calibrate the
two kinds of misalignment angles. But single-axis RINSs rely on a
turntable to realize the rotation scheme. And misalignment angles may
change during repeated removal. Therefore, it is necessary to study an
efficient and convenient method to analyze which kind of misalignment
angles leads to the change of attitude errors and calibrate these
misalignment angles. According to the different influences of two
kinds of misalignment angles on navigation errors and fine alignment
errors, this paper proposes a calibration method based on fine
alignment algorithm to calibrate the gyroscopes’ misalignment
angles. Its accuracy is proven by simulations and experiments. From
experimental results, position errors have decreased at least
21.4% with the proposed method.
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