- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Organic Electronics and Photovoltaics
- Conducting polymers and applications
- Mineral Processing and Grinding
- Perovskite Materials and Applications
- Quantum Information and Cryptography
- Radiation Effects in Electronics
- Semiconductor materials and devices
- Robotics and Sensor-Based Localization
- Modular Robots and Swarm Intelligence
- Topic Modeling
- Innovations in Concrete and Construction Materials
- Advanced Text Analysis Techniques
- Advanced battery technologies research
- Quantum optics and atomic interactions
- Integrated Circuits and Semiconductor Failure Analysis
- Sentiment Analysis and Opinion Mining
- Fuel Cells and Related Materials
- Advanced Algorithms and Applications
- VLSI and Analog Circuit Testing
- Advanced Memory and Neural Computing
- Biometric Identification and Security
- Analytical Chemistry and Sensors
- Organic and Molecular Conductors Research
Beijing University of Chemical Technology
2020-2024
Changzhou University
2023-2024
Northwestern Polytechnical University
2024
Guidance (United Kingdom)
2024
China Electronics Technology Group Corporation
2010-2023
University of Science and Technology Beijing
2021-2022
Tongji University
2021
Shanghai Jiao Tong University
2019-2021
Institute of Navigation
2021
Kinokuniya
2021
In this work, by adding a low-cost and volatile 1,3,5-tribromobenzene solid as process-aid additive, champion power conversion efficiency high 19.1% together with remarkable fill factor of 80.7% is achieved based on the state-of-the-art PM6:L8-BO system.
User-generated reviews are valuable resources for decision making. Identifying the aspect categories discussed in a given review sentence (e.g., “food” and “service” restaurant reviews) is an important task of sentiment analysis opinion mining. Given predefined category set, most previous researches leverage hand-crafted features classification algorithm to accomplish task. The crucial step achieve better performance feature engineering which consumes much human effort may be unstable when...
Ternary strategy has emerged as a promising approach to further improve the device performance of organic solar cells (OSCs). Herein, novel wide bandgap polymer donor P(BTzE-BDT) was synthesized and...
Rutile titanium dioxide (TiO2) exhibits excellent photoelectrochemical properties but limited photocatalytic performance due to its large band gap and fast electron–hole recombination. Here, we report a composite catalyst of NiTiO3 nanoparticle-coated TiO2 nanorod arrays (NiTiO3/TiO2 NRAs) via an electrostatic assembly strategy. The NiTiO3/TiO2 heterostructure endows enlarged absorption range enhanced separation efficiency. When being used as electrode in water splitting, it achieves the...
Abstract Overcoming the trade‐off between short‐circuited current ( J sc ) and open‐circuited voltage V oc is important to achieving high‐efficiency organic solar cells (OSCs). Previous works modulated energy gap Frenkel local exciton (LE) charge‐transfer (CT) exciton, which served as driving force of splitting. Differently, our work focuses on modulation LE‐CT excitonic coupling (t via a simple but effective strategy that 2‐chlorothiophene (2Cl−Th) solvent utilizes in treatment OSC...
Soft sensors using just-in-time learning (JITL) have attracted much attention in the application of online prediction batch processes because ability to perform adaptive updating and dynamic modeling. However, developing effective JITL-based soft remains challenging due unlabeled data caused by expensive measuring instruments long time-consuming offline analysis. Besides, multiphase nonlinear characteristics make this challenge more complicated. To cope with challenge, a novel sensor...
Hyperentangled states can outperform their classical counterparts on solving certain tasks. Here we present a simplified scheme for completely distinguishing two-photon hyperentangled Bell in polarization, spatial, and time-bin degrees of freedom (DOFs). Unity fidelity be achieved principle without strong couple limitation between photon quantum dot (QD), the incomplete imperfect QD-cavity interactions are prevented by single-photon detectors. In addition, auxiliary photons or DOFs not...
Abstract The online measurement of key quality variables based on soft sensors plays a critical role in ensuring the safety and stability batch processes. Recently, relevant vector machine (RVM) was introduced into for However, RVM‐based sensor has limitations addressing time‐varying, high‐dimensional, dynamic data To address these issues, improved just‐in‐time learning machine, an adaptive sensor, termed IJITL‐RVM, is proposed this paper. IJITL‐RVM integrates IJITL algorithm RVM unified...
Abstract Overcoming the trade‐off between short‐circuited current ( J sc ) and open‐circuited voltage V oc is important to achieving high‐efficiency organic solar cells (OSCs). Previous works modulated energy gap Frenkel local exciton (LE) charge‐transfer (CT) exciton, which served as driving force of splitting. Differently, our work focuses on modulation LE‐CT excitonic coupling (t via a simple but effective strategy that 2‐chlorothiophene (2Cl−Th) solvent utilizes in treatment OSC...
Batch processes are important manufacturing approaches widely used in modern industry. During the process, quality prediction is essential. Data-driven-based soft sensors have for because of advantages simple application and high flexibility. However, they do not perform well due to characteristics dynamic, nonlinear, multiphases batch processes. To address these issues, a sensor based on sequential kernel fuzzy partitioning (SKFP) just-in-time relevance vector machine (JRVM), named...
The mechanism of improving the TID radiation hardened ability partially depleted silicon-on-insulator (SOI) devices by using back-gate phosphorus ion implantation technology is studied. electron traps introduced in SiO2 near back SiO2/Si interface ions can offset positive trapped charges interface. implanted high concentration greatly reduce effect a SOI NMOS device, and anti-total-dose reach level 1 Mrad(Si) for experimental devices.
In batch processes, some quality variables, which are known as primary hard to be measured such product concentration, biomass and substrate concentration. The online prediction of variables is essential significant for process control fault diagnosis, directly affects the safety stability manufacturing processes. online, soft sensors play an important role. Due limitation number samples generalization ability modeling methods, it a challenge develop sensor with high accuracy strong...