A5100624468- Organic Electronics and Photovoltaics
- Conducting polymers and applications
- Perovskite Materials and Applications
- Natural Language Processing Techniques
- Topic Modeling
- Additive Manufacturing Materials and Processes
- Advanced Multi-Objective Optimization Algorithms
- Advanced Text Analysis Techniques
- Metaheuristic Optimization Algorithms Research
- Smart Grid Energy Management
- Radical Photochemical Reactions
- Power System Optimization and Stability
- Stability and Control of Uncertain Systems
- Metal-Organic Frameworks: Synthesis and Applications
- Text and Document Classification Technologies
- High Entropy Alloys Studies
- Covalent Organic Framework Applications
- Tribology and Lubrication Engineering
- Energy Load and Power Forecasting
- Advanced Nanomaterials in Catalysis
- Optimal Power Flow Distribution
- Insurance and Financial Risk Management
- Click Chemistry and Applications
- Adaptive Control of Nonlinear Systems
- Computational Physics and Python Applications
Changchun University
2025
Nankai University
2024
Universidad del Noreste
2023
Jilin University
2023
Northeastern University
2023
Xi'an Jiaotong University
2023
Wuhan University
2020-2022
Robert Bosch (Germany)
2021
Shenyang Institute of Engineering
2017
Harbin Institute of Technology
2014
Abstract Dimeric acceptor (DMA) becomes a promising alternative to small‐molecular and polymeric acceptor‐based organic solar cells (OSCs) due its well‐defined chemical structure, high batch‐to‐batch reproducibility, low molecular diffusion properties. However, DMAs usually exhibit blueshifted absorptions, limiting their photon utilization abilities. Herein, multi‐selenophene strategies are adopted develop redshifted DMAs. From monomer (YSe) dimers (DYSe‐1 DYSe‐2), reduced electron...
Abstract To enhance the performance of dimeric acceptors (DMAs) based organic solar cells (OSCs), two new DMAs, designated as DC9‐HD and DYSe‐3, are rationally developed employed to fabricate ternary OSCs. The substitution sulfur atom on outer ring fused‐ring core with a selenium resultes in red‐shifted DYSe‐3. Despite these minor differences, DYSe‐3 possess nearly identical conjugated skeletons, which contribute their similar packing motifs crystallinities, ultimately enabling high degree...
Laser cladding, an advanced surface modification technology, is characterized by low dilution rates, dense coating layers, strong coating‐substrate adhesion, and environmental sustainability. High‐temperature alloys demonstrate exceptional thermal resilience corrosion resistance, making them indispensable for critical components in aviation, energy, chemical industries. The application of laser cladding can significantly enhance the properties high‐temperature alloys, improving hardness wear...
Comprehensive Summary Small‐molecular organic solar cells usually exhibited unsatisfactory device stability, which might originate from their molecular diffusion behaviors. Herein, based on the all‐small‐molecule system HD‐1:BTP‐eC9, we reported a dimerized acceptor DC9, and its corresponding monomer eOD. In comparison with eOD, dimeric DC9 displayed higher glass transition temperature ( T g ) but reduced planarity crystallinity. The all‐small molecule blend utilizing HD‐1:eOD demonstrated...
Abstract Disordered polymer chain entanglements within all‐polymer blends limit the formation of optimal donor–acceptor phase separation, and thus performance organic solar cells (all‐PSCs). Considering challenge importance morphology regulation in all‐PSCs, a diluted layer‐by‐layer (N‐LBL) strategy is thereby adopted to fine‐tuning properties blends. When comparing traditional PM6:PY‐IT based bulk‐heterojunction (BHJ) film PM6/PY‐IT (LBL) film, N‐LBL which prepared from PM6 (with 3% PY‐IT)...
Abstract Ciprofloxacin (CIP), an important representative fluoroquinolone antibiotic, has been frequently detected in water sources, thus threatening aquatic organisms and human health. In this work, a porous three‐component covalent organic polymer (SLEL‐6) was synthesized through multi‐component (MC) reaction systems for adsorptive removal of CIP from aqueous solution, followed by encapsulation process to achieve SLEL‐6/sodium alginate (SA) beads with boosted adsorption ability,...
Evaluating the factual consistency of automatically generated summaries is essential for progress and adoption reliable summarization systems. Despite recent advances, existing factuality evaluation models are not robust, being especially prone to entity relation errors in new domains. We propose FactKB—a simple approach that generalizable across domains, particular with respect entities relations. FactKB based on language pretrained using facts extracted from external knowledge bases....
Transient stability assessment (TSA) plays an essential role in the safe and stable operation of power system. The traditional time-domain simulation method direct have great limitation modeling computing, which can not meet need fast accurate system stability. Therefore, combined physics model with data-driven algorithm, this paper proposes a physics-informed deep learning paradigm to solve problem. In recurrent neural networks are trained predict rotor speed angle guiding system's physical...
Many real-world multiple-objective optimization problems have objectives that change over time. These are called dynamic (DMOPs) and received an increased attention. To track the changing Pareto front in DMOPs, at a certain moment needs to be obtained as efficiently possible, which is challenging for most of existing methods. this end, we propose two-level parallel decomposition-based artificial bee colony method solving DMOPs. sufficiently accelerate process obtaining front, structure...
Evaluating the factual consistency of automatically generated summaries is essential for progress and adoption reliable summarization systems. Despite recent advances, existing factuality evaluation models are not robust, being especially prone to entity relation errors in new domains. We propose FactKB, a simple approach that generalizable across domains, particular with respect entities relations. FactKB based on language pretrained using facts extracted from external knowledge bases....
This paper's study aims at the interaction situation between capital structure and profitability of China's real estate listed companies after financial crisis. The data 2009-2012 by 10 H shares is used as research samples. Representative indicators were selected. factor analysis method was for empirical analysis. Finally, we found that: (1) there a significant negative correlation asset-liability ratio profitability; (2) positive exists equity and, (3) total asset turnover profitability.
Automatic taxonomy induction is crucial for web search, recommendation systems, and question answering. Manual curation of taxonomies expensive in terms human effort, making automatic construction highly desirable. In this work, we introduce Chain-of-Layer which an in-context learning framework designed to induct from a given set entities. breaks down the task into selecting relevant candidate entities each layer gradually building top bottom. To minimize errors, Ensemble-based Ranking...
Taxonomies play a crucial role in various applications by providing structural representation of knowledge. The task taxonomy expansion involves integrating emerging concepts into existing taxonomies identifying appropriate parent for these new query concepts. Previous approaches typically relied on self-supervised methods that generate annotation data from taxonomies. However, are less effective when the is small (fewer than 100 entities). In this work, we introduce \textsc{CodeTaxo}, novel...
This paper is devoted to investigating the problems of variable structure control and optimization for a class time delay systems, which contain matched uncertainty unmatched uncertainty, time-varying in state system. Firstly, some special transformation made considered system obtain an equivalent A sliding surface designed ensure behavior mode exhibit desired performance. Secondly, it concentrated on problem bounds nonlinearity gains, guarantees quadratic stability motion. Flexible...
As an important form of renewable energy integrated to the power system, distribution network is being challenged by voltage violation and loss increase. Currently, model-based Vol-Var control (VVC) methods are widely used reduce loss. However, need accurate parameters network. In practice, model difficult obtain. this paper, we propose a model-free evolutionary deep reinforcement learning (E-DRL) algorithm solve VVC problem. Based on E-DRL, agent evolves autonomously continuously...
With the uncertainty and complexity of power system control improved, emergency strategies are facing significant challenge on adaptiveness robustness. This paper applies a distributional deep reinforcement learning method in dynamic load shedding, which allow agents at different buses take collaborative actions distributed way. These centrally trained separately executed, can have mutual collaboration with others. To validate effectiveness DDRL, our simulations implemented an open-source...
…a nd co-planar p-p stacking facilitate charge separation and electron transport in aporous covalent-organic framework, as described by Hui Yang,Y ue-Biao Zhang, Ke Wenetal. their Research Article on page 1869.Thesynthesized COF shows high photocatalytic activity for sustainable efficient water splitting.
Although increased attention is being given to understanding how people search build task outcomes, a formal model of the relation between and outcomes still lacking. This paper proposes unified probabilistic outcomes. The involves 3 types searcher behaviors (i.e., query submission, document selection, information transformation) effect collected during search, uses item response theory capture ternary relations ability transform information, collected, probability successfully building We...
The assessment of peptide stability is af undamental component characterization.Researchers can find numerous methods in the literature to assess stability.However,i ngeneral, results are not comparable, since ag iven technique possesses certain specificities.Another major fault report.The lack harmonization hampers ap roper comparison data, which makes their interpretation more demanding.This Minireview describes recent advances synthetic macrocycle-based nonporous adaptive crystals for...