Mehrdad Mesgarpour

About Mehrdad Mesgarpour

Mehrdad Mesgarpour, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at King Mongkut's University of Technology Thonburi, specializes in the field of Computational Methods, Machine Learning, Multiphase Flow, PINN.

His recent articles reflect a diverse array of research interests and contributions to the field:

Micro/Nano Energy

Experimental investigation of heat transfer characteristics in a miniature flat heat pipe with multi-channels

Predictive machine learning models for optimization of direct solar steam generation

Thermal-hydraulic performance of a plate heat exchanger with grooved copper foam

Thermal analysis-based design of energy conversion systems

A hyper-optimisation method based on a physics-informed machine learning and point clouds for a flat plate solar collector

A hybrid deep learning-CFD approach for modeling nanoparticles’ sedimentation processes for possible application in clean energy systems

A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow …

Mehrdad Mesgarpour Information

University

Position

Postdoc in Multiphase Flow Research

Citations(all)

598

Citations(since 2020)

594

Cited By

65

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Mehrdad Mesgarpour Skills & Research Interests

Computational Methods

Machine Learning

Multiphase Flow

PINN

Top articles of Mehrdad Mesgarpour

Micro/Nano Energy

2024/5/2

Experimental investigation of heat transfer characteristics in a miniature flat heat pipe with multi-channels

Journal of Magnetism and Magnetic Materials

2023/8/15

Predictive machine learning models for optimization of direct solar steam generation

Journal of Water Process Engineering

2023/12/1

Thermal-hydraulic performance of a plate heat exchanger with grooved copper foam

Case Studies in Thermal Engineering

2023/11/1

Kitti Nilpueng
Kitti Nilpueng

H-Index: 9

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

Thermal analysis-based design of energy conversion systems

2023/8

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

A hyper-optimisation method based on a physics-informed machine learning and point clouds for a flat plate solar collector

Journal of Thermal Analysis and Calorimetry

2023/7

Jiawei Han
Jiawei Han

H-Index: 112

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

A hybrid deep learning-CFD approach for modeling nanoparticles’ sedimentation processes for possible application in clean energy systems

Journal of Cleaner Production

2023/5/1

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

Ping Zhang
Ping Zhang

H-Index: 3

A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow …

Engineering Analysis with Boundary Elements

2023/4/1

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

Nader Karimi
Nader Karimi

H-Index: 20

An investigation into the evaporation process in the presence of an electromagnetic field using a computational fluid dynamic and deep learning

2023

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

A comprehensive investigation of different porous media effects on the performance of photovoltaic thermal systems

Available at SSRN 4442557

2023

A novel temperature prediction method without using energy equation based on physics-informed neural network (PINN): A case study on plate-circular/square pin-fin heat sinks

Engineering Analysis with Boundary Elements

2022/12/1

Kitti Nilpueng
Kitti Nilpueng

H-Index: 9

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

Novel design of a liquid-cooled heat sink for a high-performance processor based on constructal theory: a numerical and experimental approach

Alexandria Engineering Journal

2022/12/1

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

An experimental study of the air-side performance of a novel louver spiral fin-and-tube heat exchanger

Alexandria Engineering Journal

2022/12/1

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

Experimental investigation of thermal performance of a novel alternating cross-section flattened tube heat exchanger

2021

An investigation of the thermal behavior of constructal theory-based pore-scale porous media by using a combination of computational fluid dynamics and machine learning

International Journal of Heat and Mass Transfer

2022/9/15

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

A critical review on the thermal performance of alternating cross-section tubes

2022/9/1

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

Nano-engineered pathways for advanced thermal energy storage systems

Cell Reports Physical Science

2022/8/17

A novel macro-scale machine learning prediction based on high-fidelity CFD simulations: A case study on the pore-scale porous Trombe wall with phase change material capsulation

Journal of Building Engineering

2022/8/15

Lei Zhao
Lei Zhao

H-Index: 9

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

Numerical study and optimization of the new concept of a solar air heater with a closed-cycle heat recovery system

Chemical Engineering Communications

2022/7/3

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

Ali Heydari
Ali Heydari

H-Index: 14

Effect of the segmented fin height on the air-side performance of serrated welded spiral fin-and-tube heat exchangers

Case Studies in Thermal Engineering

2022/7/1

Mehrdad Mesgarpour
Mehrdad Mesgarpour

H-Index: 5

See List of Professors in Mehrdad Mesgarpour University(King Mongkut's University of Technology Thonburi)

Co-Authors

academic-engine