A5100636623- Advanced Memory and Neural Computing
- Ammonia Synthesis and Nitrogen Reduction
- Ferroelectric and Negative Capacitance Devices
- Advanced Control Systems Design
- Perovskite Materials and Applications
- Advanced Control Systems Optimization
- Industrial Technology and Control Systems
- Mechanical Failure Analysis and Simulation
- Catalytic Processes in Materials Science
- Power Systems and Technologies
- Power Systems and Renewable Energy
- 2D Materials and Applications
- Powder Metallurgy Techniques and Materials
- Electrocatalysts for Energy Conversion
- Hydrogen Storage and Materials
- Iterative Learning Control Systems
- High-Voltage Power Transmission Systems
- Electrochemical Analysis and Applications
- Ferroelectric and Piezoelectric Materials
- Optical properties and cooling technologies in crystalline materials
- Transition Metal Oxide Nanomaterials
- Gas Sensing Nanomaterials and Sensors
- Chalcogenide Semiconductor Thin Films
City University of Hong Kong
2023-2025
City University of Hong Kong, Shenzhen Research Institute
2024-2025
Tianjin University
2023-2024
Electrochemically converting nitrate (NO3 -) to value-added ammonia (NH3) is a complex process involving an eight-electron transfer and numerous intermediates, presenting significant challenge for optimization. A multi-elemental synergy strategy regulate the local electronic structure at atomic level proposed, creating broad adsorption energy landscape in high-entropy alloy (HEA) catalysts. This approach enables optimal desorption of various effectively overcoming energy-scaling limitations...
Ferroelectric materials with electrically switchable spontaneous polarization are technologically important for developing next-generation low-power nanoelectronics and ferroelectronics. Regardless of significant challenges rich functionalities owing to the insulating nature conventional thin-film ferroelectrics, ferroelectricity instability or disappearance below a critical thickness limit generally exists. Therefore, exploring emerging two-dimensional (2D) ferroelectric nanoscale...
Abstract In‐sensor image preprocessing, a subset of edge computing, offers solution to mitigate frequent analog‐digital conversions and the von Neumann bottleneck in conventional digital hardware. However, an efficient in‐sensor device array with large‐scale integration capability for high‐density low‐power sensory processing is still lacking highly desirable. This work introduces adjustable broadband photothermoelectric detector based on phase‐change vanadium dioxide thin‐film transistor....
Abstract Zinc (Zn) has arisen as a significant suppressor of vacancy formation in halide perovskites, establishing its pivotal role defect engineering for these materials. Herein, the Zn‐catalyzed vapor‐liquid‐solid (VLS) route is reported to render black‐phase CsPbI 3 nanowires (NWs) operationally stable at room temperature. Based on first‐principle calculations, doped Zn 2+ can not only lead partial crystal lattice distortion but also reduce energy (absolute value) from black phase yellow...
Abstract Brain‐like intelligence is ushering humanity into an era of the Internet Perceptions (IoP), where vast amounts data generated by numerous sensing nodes pose significant challenges to transmission bandwidth and computing hardware. A recently proposed near‐sensor architecture offers effective solution reduce processing delays energy consumption. However, a pressing need remains for innovative hardware with multifunctional image capabilities. In this work, Mott material (vanadium...
In this article, tube-based model predictive control (MPC) is investigated for a linear parameter-varying (LPV) system with external disturbances. The LPV comes from an autonomous vehicle disturbances and scheduling parameters in trajectory tracking. An interval predictor designed state constraints under parameters. With robust controller based on the nominal obtained by solving MPC, antidisturbance ability dynamic performance are improved Both recursive feasibility input-to-state stability...
In this article, a time-optimal turning around method is designed based on model predictive control (MPC) for an autonomous vehicle under steering lag. To address the lag issue, second-order established through system identification. A trajectory obtained using quintic polynomial and nonlinear MPC optimization problem. algorithm then developed to track with compensation Asymptotic stability recursive feasibility are analyzed algorithm. Experimental results demonstrate effectiveness of in electric
The PMSG wind farms will adaptively inject positive-sequence and negative-sequence active reactive power according to the low-voltage ride-through strategy. Therefore, phase difference between voltage current immediately change, inducing incorrect operation of voltage-polarization distance protection. To deal with above problem, applicability mechanism protection based on voltagepolarization is investigated in detail, considering different strategies. Then, a novel scheme composite sequence...