Qinglin Chen

ORCID: 0000-0003-3277-437X
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About
Contact & Profiles
Research Areas
  • Process Optimization and Integration
  • Adsorption and Cooling Systems
  • Iron and Steelmaking Processes
  • Mineral Processing and Grinding
  • Wind and Air Flow Studies
  • Model Reduction and Neural Networks
  • Heat Transfer and Optimization
  • Rock Mechanics and Modeling
  • Advanced Control Systems Optimization
  • Building Energy and Comfort Optimization
  • Tailings Management and Properties
  • Reservoir Engineering and Simulation Methods
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Granular flow and fluidized beds
  • Metallurgical Processes and Thermodynamics
  • Solar-Powered Water Purification Methods
  • Fluid Dynamics and Turbulent Flows
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Soil Carbon and Nitrogen Dynamics
  • Thermochemical Biomass Conversion Processes
  • Supercapacitor Materials and Fabrication
  • Antenna Design and Analysis
  • Geotechnical Engineering and Soil Stabilization
  • Geotechnical Engineering and Soil Mechanics
  • Structural Integrity and Reliability Analysis

Shenzhen University
2024-2025

Sun Yat-sen University
2013-2024

Southeast University
2024

Southwest Petroleum University
2024

Institute of Urban Environment
2024

Chinese Academy of Sciences
2024

Xidian University
2022-2024

Fujian Medical University
2024

Anhui University of Technology
2023-2024

Nantong University
2023-2024

Physics-Informed Machine Learning (PIML) is an emerging computing paradigm that offers a new approach to tackle multiphysics modeling problems prevalent in the field of chemical engineering. These often involve complex transport processes, nonlinear reaction kinetics, and coupling. This Review provides detailed account main contributions PIML with specific emphasis on momentum transfer, heat mass reactions. The progress method development (e.g., algorithm architecture), software libraries,...

10.1021/acs.iecr.3c02383 article EN Industrial & Engineering Chemistry Research 2023-10-26

A wideband compact printed dipole antenna array with an element size of 0.16 λ0 × 0.34 is proposed for millimeter-wave (mmW) applications, particularly 5G applications. The two patches the are on different layers to achieve a wide bandwidth 50% (24–40 GHz) SWR <2. Ground-signal-ground transmission line construction height difference between feeding via and shorting vias employed relatively symmetrical radiation pattern. An consisting 1 8 substrate-integrated coaxial network fabricated...

10.1109/lawp.2022.3209326 article EN IEEE Antennas and Wireless Propagation Letters 2022-09-26

Antibiotic resistance in plant-associated microbiomes poses significant risks for agricultural ecosystems and human health. Although accumulating evidence suggests a role plant genotypes shaping their microbiome, almost nothing is known about how the changes of genetic information affect co-evolved microbiome carrying antibiotic genes (ARGs). Here, we selected 16 wheat cultivars experimentally explored impact host variation on phyllosphere ARGs, metabolites. Our results demonstrated that...

10.1093/ismejo/wrae144 article EN cc-by The ISME Journal 2024-01-01

Fluorescence lifetime imaging (FLIM) has established itself as a pivotal tool for investigating biological processes within living cells. However, the extensive duration necessary to accumulate sufficient photons accurate fluorescence calculations poses significant obstacle achieving high-resolution monitoring of cellular dynamics. In this study, we introduce an image reconstruction method based on edge-preserving interpolation (EPIM), which transforms rapidly acquired low-resolution FLIM...

10.3390/bios15010043 article EN cc-by Biosensors 2025-01-13

Abstract It is known that physics‐informed learning become a new philosophy has been applied in many scientific domains. However, this approach often struggles to achieve optimal performance addressing the issue of multiphysics coupling. Here, for first time, we extend modeling chemical reactor systems. We design decoupling–coupling training framework, which consists decoupling pre‐training and coupling steps. With pre‐training, complex physical domain decomposed into subdomains fluid flow,...

10.1002/aic.18436 article EN AIChE Journal 2024-03-17

The structure of yolk–shell microspheres is attractive because it exhibits excellent structural stability during lithiation; monodispersed crumpled spherical precursors LiNi<sub>0.8</sub>Co<sub>0.15</sub>Al<sub>0.05</sub>O<sub>2</sub>were obtained<italic>via</italic>a general and simple supersonic atomization method.

10.1039/c4ra04122d article EN RSC Advances 2014-01-01

The phyllosphere, particularly the leaf surface of plants, harbors a diverse range microbiomes that play vital role in functioning terrestrial ecosystems. However, our understanding microbial successions and their impact on functional genes during plant community development is limited. In this study, considering core satellite taxa, we characterized phyllosphere microbiome various microhabitats (i.e., litter, moss leaves) across succession low-altitude glacier foreland. Our findings...

10.1016/j.envint.2024.108688 article EN cc-by-nc-nd Environment International 2024-04-24

Pressure swing adsorption (PSA) modeling remains a challenging task since it exhibits strong dynamic and cyclic behavior. This study presents systematic physics-informed machine learning method that integrates transfer labeled data to construct spatiotemporal model of the PSA process. To approximate latent solutions partial differential equations (PDEs) in specific steps pressurization, adsorption, heavy reflux, counter-current depressurization, light system's network representation is...

10.1016/j.gce.2024.08.004 article EN cc-by-nc-nd Green Chemical Engineering 2024-08-01
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