Jing Guan

ORCID: 0009-0007-0535-6195
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About
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Research Areas
  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Photorefractive and Nonlinear Optics
  • Evolutionary Algorithms and Applications
  • Catalysis for Biomass Conversion
  • Membrane Separation Technologies
  • Solid State Laser Technologies
  • Advanced Fiber Laser Technologies
  • Catalysis and Hydrodesulfurization Studies
  • Membrane-based Ion Separation Techniques
  • Advanced Photocatalysis Techniques
  • Photonic and Optical Devices
  • Olfactory and Sensory Function Studies
  • Biofuel production and bioconversion
  • Advanced Battery Materials and Technologies
  • Mesoporous Materials and Catalysis
  • Supercapacitor Materials and Fabrication
  • Geological Studies and Exploration
  • Solar-Powered Water Purification Methods
  • Electrohydrodynamics and Fluid Dynamics
  • Hydrocarbon exploration and reservoir analysis
  • Advancements in Battery Materials
  • Underwater Acoustics Research
  • Advanced SAR Imaging Techniques
  • Gas Sensing Nanomaterials and Sensors

OriginWater (China)
2013-2025

Inner Mongolia University
2024

Pearl River Hydraulic Research Institute
2024

Shandong University
2008-2024

Wuhan Ship Development & Design Institute
2013-2024

Nanjing University of Chinese Medicine
2024

Qingdao University of Technology
2019-2022

State Key Laboratory of Crystal Materials
2011-2022

Northwestern Polytechnical University
2013-2021

Kunming University
2020-2021

Developing high‐voltage Mg‐compatible electrolytes (>3.0 V vs Mg) still remains to be the biggest R&D challenge in area of nonaqueous rechargeable Mg batteries. Here, key design concepts toward exploring new boron‐based salts a specific way highlighting implications anions are proposed for first time. The well‐defined boron‐centered anion‐based magnesium electrolyte (BCM electrolyte) is successfully presented by facile one‐step mixing tris(2H‐hexafluoroisopropyl) borate and MgF 2...

10.1002/aenm.201602055 article EN Advanced Energy Materials 2017-01-17

In differential evolution (DE) studies, there are many parameter adaptation methods, aiming at tuning the mutation factor F and crossover probability CR. However, these methods still cannot resolve issues of population premature convergence stagnation. To address issues, in this paper, we investigate regarding diversity dimensional level propose a mechanism named auto-enhanced (AEPD) to automatically enhance diversity. AEPD is able identify moments when becomes converging or stagnating by...

10.1109/tcyb.2014.2339495 article EN IEEE Transactions on Cybernetics 2014-07-30

The electrocatalytic decomposition of the abundant and toxic H<sub>2</sub>S from industrial by-products is a promising energy conversion technology for H<sub>2</sub> production simultaneously removing this environmental pollutant.

10.1039/c9ee03231b article EN Energy & Environmental Science 2019-11-23

The porosities of the Lower Cambrian shale and Upper Ordovician-Lower Silurian marine from Sichuan Basin were analyzed using He-Hg porosimetry field-emission scanning electron microscopy, to discuss relationship porosity organic matter maturity, total carbon (TOC) free gas volume. Overmature (Ro greater than 2%) samples with a TOC less 5% display positive correlation between porosity, but limited increase in increasing TOC. decreases generally maturity overmature stage. is key factor for...

10.1016/s1876-3804(13)60111-1 article EN cc-by-nc-nd Petroleum Exploration and Development 2013-12-01

Lithium-oxygen batteries with high theoretical energy densities have great potential. Recent studies focused on different cathode architecture design to address poor cycling performance, while the impact of interface stability side has been barely reported. In this study, we introduce CoO mesoporous spheres into cathode, where growth crystalline discharge products (Li2O2) is directly observed surface from aberration-corrected STEM. This based demonstrates more than 300 discharge/charge...

10.1038/srep08335 article EN cc-by Scientific Reports 2015-02-27

To develop a deep learning model to classify primary bone tumors from preoperative radiographs and compare performance with radiologists. A total of 1356 patients (2899 images) histologically confirmed pre-operative were identified five institutions' pathology databases. Manual cropping was performed by radiologists label the lesions. Binary discriminatory capacity (benign versus not-benign malignant not-malignant) three-way classification intermediate malignant) our evaluated. The...

10.1016/j.ebiom.2020.103121 article EN cc-by-nc-nd EBioMedicine 2020-11-22

This review summarizes the recent advances in biomass upgrading for polyol production with an emphasis on formation of glycols.

10.1039/c4ra06466f article EN RSC Advances 2014-01-01

Recyclable iridium catalysts have been developed rationally for the direct self-condensation of ethanol and butanol in water air.

10.1039/c4gc00510d article EN Green Chemistry 2014-01-01

In this study, binary core-shell CoSe2/CoO nanocomposites are synthesized as cathodic electrodes for the Li-O2 cell, which exhibits enhanced cycle performance. From theoretical calculations, aberration-corrected scanning transmission electron microscopy observation, and gas chromatography mass spectrum verification, we propose that an performance can be attributed to improvement of compatibility cathode/Li2O2 interface, results from preferable interaction between Li2O2 intermediates CoO...

10.1021/jz402755b article EN The Journal of Physical Chemistry Letters 2014-01-21

Dielectric waveguides are widely recognized as excellent and versatile components for integrated multifunctional photonic chips, thanks to their strong optical confinement capabilities. In this study, we present a novel semi-tapered depressed-cladding waveguide structure, designed fabricated using femtosecond laser direct writing technology. The guiding performance of is systematically analyzed by characterizing its loss characteristics. Leveraging the high gain superior platform,...

10.1364/oe.540104 article EN cc-by Optics Express 2025-01-02

Membrane fouling remains a significant challenge in the operation of membrane bioreactors (MBRs). Plant operators rely heavily on observations filtration performance from noisy sensor data to assess conditions and lab-based protocols for plant maintenance, often leading inaccurate estimations future delayed cleaning. This is further compounded by difficulty integrating existing complex mechanistic models with Internet Things (IoT) systems wastewater treatment plants (WWTPs). By harnessing...

10.1021/acs.est.4c12835 article EN PubMed 2025-03-05
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