Xinjie Zhou

ORCID: 0000-0003-0006-287X
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About
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Research Areas
  • 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

10.18653/v1/d16-1024 article EN Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing 2016-01-01

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.

10.1039/d3ee01320k article EN Energy & Environmental Science 2023-01-01

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...

10.1609/aaai.v29i1.9194 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2015-02-09

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...

10.1039/d4ee05848h article EN Energy & Environmental Science 2025-01-01

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...

10.1021/acsaem.1c03112 article EN ACS Applied Energy Materials 2021-12-13

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...

10.1002/anie.202411512 article EN Angewandte Chemie International Edition 2024-07-11

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...

10.1021/acs.iecr.0c03806 article EN Industrial & Engineering Chemistry Research 2020-10-22

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...

10.1002/andp.202100509 article EN Annalen der Physik 2022-01-20

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...

10.1002/cjce.23848 article EN The Canadian Journal of Chemical Engineering 2020-07-29

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...

10.1002/ange.202411512 article EN Angewandte Chemie 2024-07-11

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...

10.1109/tim.2021.3077970 article EN IEEE Transactions on Instrumentation and Measurement 2021-01-01

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.

10.1088/1674-4926/36/1/014006 article EN Journal of Semiconductors 2015-01-01

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...

10.1109/tim.2022.3205007 article EN IEEE Transactions on Instrumentation and Measurement 2022-01-01
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