ABSTRACT
Delicate interface modification is necessary for improving the photovoltaic performance of a perovskite solar cell (PSC). Herein, two asymmetric small molecules, termed BTD-DA and BTD-PA are designed and synthesized to govern the perovskite/Spiro-OMeTAD interface. The molecule BTD-PA featuring a donor-acceptor-acceptor (D-A-A') configuration shows a larger molecule dipole and a better effect on defect passivation and energy level regulation through the strong interaction between the pyridine group in BTD-PA and the surficial uncoordinated Pb2+. Consequently, the PSCs based on the BTD-PA treatment harvest a champion power conversion efficiency (PCE) of 24.46% for a 0.09 cm2 active area and 22.46% for the 1 cm2 device. Moreover, the long-term stability of FAPbI3 PSCs is also significantly improved because of the enhanced hydrophobicity and the inhibited phase transition of the FAPbI3 film with BTD-PA treatment. Our research provides a new strategy for interfacial engineering to boost the PCE and stability of the FAPbI3 PSCs.
ABSTRACT
In the context of hydrogen production through water electrolysis, the development of efficient and stable electrocatalysts is of paramount importance. However, the creation of cost-effective electrocatalysts poses a significant challenge. In this study, a P and Nb co-doped NiFe2O4 nanosheet is designed and grown on Fe foam (referred to as P, Nb-NiFe2O4/FF). The P, Nb-NiFe2O4/FF exhibits a distinctive crystalline/amorphous heterostructure, and the co-doping of P and Nb in the material leads to the exposure of additional catalytic active sites, optimization of the electronic structure, and enhancement of charge conductivity. Additionally, the P, Nb-NiFe2O4/FF possesses a superhydrophilic surface for the enhancement of charge/mass transfer at interface and a superaerophobic surface, facilitating the efficient release of gas. The P, Nb-NiFe2O4/FF demonstrates remarkable oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) activities, achieving overpotential as low as 247 mV and 127 mV, respectively, to attain the current density response of 100 mA cm-2. Based on the high bifunctional activities, the P, Nb-NiFe2O4/FF requires only a working voltage of 1.56 V to obtain the current density of 10 mA cm-2 in overall water splitting. Furthermore, the overall water splitting device of P, Nb-NiFe2O4/FF is integrated with a commercial solar cell to simulate a solar-powered water splitting system, resulting in as superior solar-to-hydrogen conversion efficiency of 15.11%.
ABSTRACT
Falls pose a great danger to social development, especially to the elderly population. When a fall occurs, the body's center of gravity moves from a high position to a low position, and the magnitude of change varies among body parts. Most existing fall recognition methods based on deep learning have not yet considered the differences between the movement and the change in amplitude of each body part. Besides, some problems exist such as complicated design, slow detection speed, and lack of timeliness. To alleviate these problems, a lightweight subgraph-based deep learning method utilizing skeleton information for fall recognition is proposed in this paper. The skeleton information of the human body is extracted by OpenPose, and an end-to-end lightweight subgraph-based network is designed. Sub-graph division and sub-graph attention modules are introduced to add a larger perceptual field while maintaining its lightweight characteristics. A multi-scale temporal convolution module is also designed to extract and fuse multi-scale temporal features, which enriches the feature representation. The proposed method is evaluated on a partial fall dataset collected in NTU and on two public datasets, and outperforms existing methods. It indicates that the proposed method is accurate and lightweight, which means it is suitable for real-time detection and rapid response to falls.
