High efficiency hierarchical porous composite microfiltration membrane for high-temperature particulate matter capturing

Dai

ACS Appl. Mater. Interfaces

et al. 2023

Inorganic tin–lead binary perovskites have piqued the interest of researchers as effective absorbers for thermally stable solar cells. However, the nonradiative recombination originating from the surface undercoordinated Sn2+ cations and the energetic offsets between different layers cause an excessive energy loss and deteriorate the perovskite device’s performance. In this study, we investigated two thioamide derivatives that differ only in the polar part connected to their common benzene ring, namely, benzenecarbothioamide and 4-fluorophenylcarbothioamide (F-TBA). These two molecules were implemented as modifiers onto the inorganic tin–lead perovskite (CsPb0.5Sn0.5I2Br) surface in the perovskite solar cells. Modifiers that carry CS and NH2 functional groups, equipped with lone electron pairs, can autonomously associate with surface Sn2+ through coordination and electrostatic attraction mechanisms. This interaction serves effectively to passivate the surface. In addition, due to the permanent dipole moment of the intermediate layer, an interfacial dipole field appears at the PCBM/CsPb0.5Sn0.5I2Br interface, reducing the electron extraction potential barrier. Consequently, the planar solar cell with an ITO/PEDOT:PSS/CsPb0.5Sn0.5I2Br/PCBM/BCP/Ag layered structure featuring an F-TBA surface post-treatment demonstrated a noteworthy power conversion efficiency of 14.01%. Simultaneously, after being stored for 1000 h in an inert atmosphere glovebox, the non-encapsulated CsPb0.5Sn0.5I2Br solar cells managed to preserve 94% of their original efficiency.

Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

Surface Modification in CsPb_0.5Sn_0.5I₂Br Inorganic Perovskite Solar Cells: Effects of Bifunctional Dipolar Molecules on Photovoltaic Performance

Dai

ACS Appl. Mater. Interfaces

et al. 2023

“…TiAl-based porous materials have been very promising candidates as high-temperature structural materials for high-temperature flue gas purification, because they contain a mixture of metallic and covalent bonds that provide sound mechanical properties with outstanding corrosion resistance and excellent oxidation resistance above 600 • C [20][21][22][23]. However, TiAl-based porous materials still need to be improved, owing to the insufficient oxidation resistance in the envisioned application temperature range of 800 • C-1000 • C. The main reason for the inadequate performance is related to the formation of both TiO 2 and Al 2 O 3 rather than continuous Al 2 O 3 during long-term high-temperature oxidation [19,[24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Ti-40Al-10Nb-10Cr Porous Microfiltration Membrane with Hierarchical Pore Structure for Particulate Matter Capturing from High-Temperature Flue Gas

et al. 2022

Self Cite

TiAl-based porous microfiltration membranes are expected to be the next-generation filtration materials for potential applications in high-temperature flue gas separation in corrosive environments. Unfortunately, the insufficient high-temperature oxidation resistance severely limits their industrial applications. To tackle this issue, a Ti-40Al-10Nb-10Cr porous alloy was fabricated for highly effective high-temperature flue gas purification. Benefited from microstructural changes and the formation of two new phases, the Ti-40Al-10Nb-10Cr porous alloy demonstrated favorable high-temperature anti-oxidation performance with the incorporation of Nb and Cr high-temperature alloying elements. By the separation of a simulated high-temperature flue gas, we achieved an ultra-high PM-removal efficiency (62.242% for PM<2.5 and 98.563% for PM>2.5). These features, combined with our experimental design strategy, provide a new insight into designing high-temperature TiAl-based porous materials with enhanced performance and durability.

Advanced Intelligent Systems

Low‐Cost Data Glove Based on Deep‐Learning‐Enhanced Flexible Multiwalled Carbon Nanotube Sensors for Real‐Time Gesture Recognition

Yang

et al. 2022

With advancements in artificial intelligence, wearable motion recognition systems based on flexible nanomaterial sensors exhibit excellent potential for harmonious human–machine interaction. However, the sensing stability and demand of large‐scale arrays limit the application of flexible nanomaterial sensors. Herein, a data glove system based on simple multiwalled carbon nanotube (MWCNT) sensors and a lightweight deep‐learning algorithm to achieve accurate gesture recognition is proposed. A regional‐crack mechanism is introduced through the microspine structure to enhance the strain sensitivity. Moreover, an efficient signal processing strategy based on an adaptive wavelet threshold function to improve the robustness and anti‐interference of signals obtained from MWCNT sensors, which exhibit strong generalization and can be used in other nanomaterial strain sensor. Based on the depth‐wise separable convolution, a novel hybrid convolutional neural network (CNN) long short‐term memory (LSTM) model for gesture recognition is constructed. The proposed model achieves an average accuracy of 97.5% and recognition accuracy of 30 gestures with an average recognition time of 2.173 ms based on only five sensors. The fabricated data glove is a promising platform for low‐cost and wearable human–machine interaction that can be directly interfaced in applications such as robotic hands, smart cars, and first‐person shooting games.