Jianfei Xie

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Senior Lecturer

University of Derby

United Kingdom

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Dr. Jianfei Xie is a Senior Lecturer at the University of Derby, UK. His research focuses on thermochemical energy storage, combustion efficiency, and the application of machine learning in engineering contexts. Recent publications include explorations of ammonia-methane combustion, phase change materials, and the optimization of solar thermal power systems.

Recent Grants

Grant: Close

Micro/nano mass and heat transfer

Open Date: 2016-01-01

Close Date: 2018-12-01

Grant: Close

Microflows past permeable surface

Open Date: 2015-09-01

Close Date: 2016-12-01

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2023

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2020

Collaborators (1)

Zhiyin Yang

Professor of Aerospace Engineering

University of Derby

UNITED KINGDOM

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Jianfei Xie

Research Interests

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About

Recent Grants

Articles (24)

Alcohol additives to enhance ammonia-methane combustion efficiency and reduce emissions: A reactive force field analysis

Multi-field coupling analysis of thermochemical energy storage reactor with prepared Mg(OH)2/expanded graphite composites

Numerical investigation of calcium hydroxide/calcium oxide thermochemical reactions in shell-tube reactors: exothermic process analysis and solar-thermochemical combined cooling, heating, and power optimization

Experimental analysis and comprehensive performance improvement research on composite phase change materials packed bed thermal storage systems

A hybrid molecular dynamics–machine learning framework for boiling point estimation in aromatic fluids

Molecular insight into further enhancement of thermal conductivity and heat capacity of K2CO3-SiO2 molten salt nanofluids by oxygen vacancy defects in SiO2 nanoparticles

Numerical Study of the Late-Stage Flow Features and Stripping in Shock Liquid Drop Interaction

Machine learning-based prediction of species mass fraction and flame characteristics in partially premixed turbulent jet flame

Data-driven optimization of turbulent kinetic energy and tumble-y in combustion engines: A comparative study of machine learning models

Performance optimization and entropy-TOPSIS evaluation of a thermochemical solar thermal power generation system based on packed bed reactor exothermic characteristics

Evaluating and enhancing heat storage in a Ca(OH)2/CaO shell-tube reactor: A numerical study on key factors and performance optimization

Multi-perspective analysis of adiabatic compressed air energy storage system with cascaded packed bed latent heat storage under variable conditions

Chaos synchronization of two coupled map lattice systems using safe reinforcement learning

Molecular dynamics study on thermophysical properties of K2CO3 molten salt-based SiO2 nanofluids using Buckingham potential framework

Use of magnetic fluids in process system for pipe isolations

Molecular dynamics study on interfacial diffusion characterization of nanoparticle TiO2 and metal Fe in high-temperature molten salt thermal energy storage system

Enhanced heat transfer and thermal storage performance of molten K2CO3 by ZnO nanoparticles: A molecular dynamics study

Performance comparison of CSP system with different heat transfer and storage fluids at multi-time scales by means of system advisor model

Utilizing Artificial intelligence to identify an Optimal Machine learning model for predicting fuel consumption in Diesel engines

Numerical Simulation of the Interaction between a Planar Shock Wave and a Cylindrical Bubble

AI-Guided Computing Insights into a Thermostat Monitoring Neonatal Intensive Care Unit (NICU)

High thermal conductivity of porous graphite/paraffin composite phase change material with 3D porous graphite foam

Molecular dynamics study on the kinematic viscosity, density and structure of fuel blends containing n-decane and biofuel compound of ethyl decanoate or ethyl dodecanoate

A mean free path approach to the micro/nanochannel gas flows

Collaborators (1)

Zhiyin Yang

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