Jinxiao Zhang

ORCID: 0009-0005-9202-2091
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About
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Research Areas
  • Heat shock proteins research
  • Molecular Sensors and Ion Detection
  • Luminescence and Fluorescent Materials
  • Computational Drug Discovery Methods
  • Advanced Photocatalysis Techniques
  • Photoreceptor and optogenetics research
  • Mass Spectrometry Techniques and Applications
  • Fuel Cells and Related Materials
  • Electrocatalysts for Energy Conversion
  • Spectroscopy and Quantum Chemical Studies
  • Plant tissue culture and regeneration
  • Machine Learning in Materials Science
  • Plant Gene Expression Analysis
  • Biofuel production and bioconversion
  • Organic Light-Emitting Diodes Research

Guilin University of Technology
2024-2025

Shandong Agricultural University
2025

Two-dimensional ultraviolet (2DUV) spectroscopy is an emerging spectroscopic technique that offers high resolution and detailed insights into protein structures. However, traditional theoretical calculations of 2DUV spectra for proteins are computationally expensive due to their complex flexible In this study, we developed a machine learning (ML)-based approach the rapid accurate prediction spectra. The results demonstrate that, compared one-dimensional (1DUV) spectroscopy, provides higher...

10.3390/pr13020290 article EN Processes 2025-01-21

Maize is a key biomass resource with wide agricultural applications. Anthocyanins, potent antioxidants, offer health benefits like reducing oxidative stress. The biosynthesis of anthocyanins competes that lignin for shared metabolic precursors, which can lead to trade-offs in plant growth and feed quality. Higher content decrease silage digestibility, posing challenges livestock feed. maize brown midrib 6 (bm6) mutant, known reduced lignin, has an unclear genetic basis. Here, we identify...

10.1111/pbi.70061 article EN cc-by Plant Biotechnology Journal 2025-03-28

The aggregation-induced emission (AIE) effect exhibits a significant influence on the development of luminescent materials and has made remarkable progress over past decades. advancement high-performance AIE requires fast accurate predictions their photophysical properties, which is impeded by inherent limitations quantum chemical calculations. In this work, we present an machine learning approach for yields wavelengths to screen out molecules. A database about 563 organic molecules with in...

10.3390/ma17071664 article EN Materials 2024-04-04
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