LEI XING

Lecturer

University of Surrey

United Kingdom

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Lei Xing is a Lecturer at the University of Surrey, UK. His research interests encompass various fields including CO2 capture, microfluidic fuel cells, and solar energy systems. Recent publications explore topics such as enhanced CO2 adsorption in metal-organic frameworks, optimization of energy harvesting in solar systems, and advanced methods for image classification in medical applications.

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Collaborators (6)

Prodip Kumar Das

Associate Professor in Hydrogen Energy Systems

University of Edinburgh

UNITED KINGDOM

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Valerie J Pinfield

Professor

Loughborough University

UNITED KINGDOM

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Lu Lu

Assistant Professor

Yale University

UNITED STATES

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Steven Christie

Loughborough University School of Science

UNITED KINGDOM

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Oliver Fisher

Assistant Professor

University of Nottingham

UNITED KINGDOM

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Jin Xuan

Professor and Associate Dean for Research and Innovation

University of Surrey

UNITED KINGDOM

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LEI XING

Research Interests

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About

Articles (24)

Multiscale investigation of metal substitution and diffusion mechanisms for enhanced CO2 adsorption: A case study of SIFSIX-3-Cu MOFs

From concept to optimization: Advancing passive microfluidic fuel cells through electrode-rib-channel innovations

Physics-based and data-driven hybrid modelling and optimisation of stirred-slurry reactors for CO2 capture via enhanced weathering of dolomite mineral

A novel linear fresnel solar CPV/T hybrid system with advanced film beam splitter for optimal energy harvesting: Optical and thermodynamic analysis

A Novel Temporal-Enhanced Dynamic Latent Variable Regression for Quality Prediction of Dynamic Processes

Enhancing optical and thermohydraulic performance of linear Fresnel collectors with receiver tube enhancers: A numerical study

A review of control strategies for proton exchange membrane (PEM) fuel cells and water electrolysers: From automation to autonomy

A Gastrointestinal Image Classification Method Based on Improved Adam Algorithm

A new dust detection method for photovoltaic panel surface based on Pytorch and its economic benefit analysis

A Linear Interpolation and Curvature-Controlled Gradient Optimization Strategy Based on Adam

A review of application mechanism and research progress of Fe/montmorillonite-based catalysts in heterogeneous Fenton reactions

Copper-doped nickel oxide supported on carbon black for highly active oxygen reduction/evolution electrocatalysis

Modelling and optimization of Li+ extraction from brine with high Mg/Li ratio by electrochemically switched ion exchange considering thermodynamics and dynamics simultaneously

Responsive CO2 capture: predictive multi-objective optimisation for managing intermittent flue gas and renewable energy supply

Investigation of Gradient Platinum Loading and Porosity Distribution for Anion Exchange Membrane Fuel Cells

Machine learning based techno-economic process optimisation for CO2 capture via enhanced weathering

Data-driven surrogate modelling and multi-variable optimization of trickle bed and packed bubble column reactors for CO<sub>2</sub> capture via enhanced weathering

Deep learning design of functionally graded porous electrode of proton exchange membrane fuel cells

Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells

Combining machine learning with multi-physics modeling for multi-objective optimisation and techno-economic analysis of electrochemical CO2 reduction process

Novel porous electrode designs for reversible solid oxide hydrogen planar cell through multi‐physics modeling

A novel flow field design method for HT-PEM fuel cells: a hybrid topology and surrogate model

Designing graded fuel cell electrodes for proton exchange membrane (PEM) fuel cells with recurrent neural network (RNN) approaches

Life Cycle Assessment and Life Cycle Cost of Sludge Dewatering, Conditioned with Fe<sup>2+</sup>/H<sub>2</sub>O<sub>2</sub>, Fe<sup>2+</sup>/Ca(ClO)<sub>2</sub>, Fe<sup>2+</sup>/Na<sub>2</sub>S<sub>2</sub>O<sub>8</sub>, and Fe<sup>3+</sup>/CaO Based on Pilot-Scale Study Data

Collaborators (6)

Prodip Kumar Das

Valerie J Pinfield

Lu Lu

Steven Christie

Oliver Fisher

Jin Xuan

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