Yukun Zhang

ORCID: 0000-0001-9165-3733
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About
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Research Areas
  • Supercapacitor Materials and Fabrication
  • Covalent Organic Framework Applications
  • Conducting polymers and applications
  • Crystallization and Solubility Studies
  • Ionic liquids properties and applications
  • Metal and Thin Film Mechanics
  • Carbon Dioxide Capture Technologies
  • Carbon dioxide utilization in catalysis
  • Advancements in Battery Materials
  • X-ray Diffraction in Crystallography
  • Advanced Photocatalysis Techniques
  • Phase Equilibria and Thermodynamics
  • Advanced Polymer Synthesis and Characterization
  • Diamond and Carbon-based Materials Research
  • Enhanced Oil Recovery Techniques
  • Optical Coatings and Gratings
  • Photonic Crystals and Applications
  • Corrosion Behavior and Inhibition
  • MXene and MAX Phase Materials
  • Nanofabrication and Lithography Techniques
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Chemical Synthesis and Reactions
  • Nanocluster Synthesis and Applications
  • Advanced Battery Materials and Technologies
  • Nuclear Materials and Properties

Nanjing University of Aeronautics and Astronautics
2022-2025

Xi'an University of Science and Technology
2021-2024

Shandong University
2024

Northeast Electric Power University
2022-2024

Xi'an Jiaotong University
2024

China University of Petroleum, East China
2023-2024

China University of Mining and Technology
2022-2023

Xinjiang University
2022

Tongji University
2022

Electric Power University
2022

MXene-reinforced composite coatings have recently shown promise for metal anticorrosion due to their large aspect ratio and antipermeability; however, the challenges of poor dispersion, oxidation, sedimentation MXene nanofillers in a resin matrix that are often encountered existing curing methods greatly limited practical applications. Herein, we reported an efficient, ambient, solvent-free electron beam (EB) technology fabricate PDMS@MXene filled acrylate-polyurethane (APU) 2024 Al alloy,...

10.1021/acsami.2c22184 article EN ACS Applied Materials & Interfaces 2023-02-16

Nowadays, coal gasification fine slag (CGFS) generated during the process has become difficult to treat bulk solid waste. CGFS contains high levels of residual carbon, which is recycle due tight binding minerals with residual. In our study, carbon source active (P-AC) was obtained by molten-caustic leaching (MCL) method, in alkaline solution can be further used as a ceramic precursor. Subsequently, KOH activation method prepare activated (AC) electrode materials. The deashing conditions and...

10.1021/acsaelm.3c01685 article EN ACS Applied Electronic Materials 2024-02-20

The rapid success of Large Language Models (LLMs) has unlocked vast potential for AI applications in privacy-sensitive domains. However, the traditional centralized training LLMs poses significant challenges due to privacy concerns regarding collecting sensitive data from diverse sources. This paper offers a promising and privacy-enhancing solution LLMs: collaboratively via Federated Learning (FL) across multiple clients, eliminating need raw transmission. To this end, we present F4LLM, new...

10.2139/ssrn.5087720 preprint EN 2025-01-01

The rapid advancement of generative artificial intelligence (AI) has transformed the information environment, creating both opportunities and challenges. This paper explores how AI influences economic rent-seeking behavior its broader impact on social welfare. We develop a dynamic model involving multiple agents who may engage in activities regulator aiming to mitigate welfare losses. Our analysis reveals dual effect AI: while it reduces traditional rents by increasing transparency, also...

10.48550/arxiv.2502.12956 preprint EN arXiv (Cornell University) 2025-02-18

Information asymmetry often leads to adverse selection and moral hazard in economic markets, causing inefficiencies welfare losses. Traditional methods address these issues, such as signaling screening, are frequently insufficient. This research investigates how Generative Artificial Intelligence (AI) can create detailed informational signals that help principals better understand agents' types monitor their actions. By incorporating AI-generated into a principal-agent model, the study aims...

10.48550/arxiv.2502.12969 preprint EN arXiv (Cornell University) 2025-02-18

Highly porous multi-responsive shape memory foams have unique advantages in designing 3D materials with lightweight for varied applications. Herein, a facile and efficient approach to fabricating thermo-, electro-, photo-responsive composite foam is demonstrated. A specific multi-step carbonization protocol adopted transforming commercial melamine sponge (MS) highly carbon (CF) robust elastic resilience, electrothermal/photothermal conversions, super-amphiphilicity. It novel proposal CF take...

10.1002/smll.202205797 article EN Small 2022-12-03

Covalent organic framework (COF) materials are characterized by periodic π arrays and orderly open channels, but poor electrical conductivity limits their applications in opt-electric fields. In this paper, 2,4,6-tris(4-formylphenyl)-1,3,5-triazine (TFPT) 2,4,6-tris(4-aminophenyl)-1,3,5-triazine (TAPT) were used to synthesize TPT-COF with a redox unit of triazine Schiff base reaction. order improve the TPT-COF, we prepared Nickel Nanowires (NiNWs) chemical reduction method then TPT-COF/NiNWs...

10.1021/acs.jpcc.4c01332 article EN The Journal of Physical Chemistry C 2024-05-29
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