Enhui Zhang | Fluid dynamic | Best Researcher Award

Published On 26/12/202426/12/2024 by ScienceFather

Enhui Zhang | Fluid dynamic | Best Researcher Award

Dr. Enhui Zhang, Inner Mongolia University of Science & Technology, China.

Enhui Zhang is an Associate Professor at the Vehicle Engineering Department, School of Mechanical Engineering, Inner Mongolia University of Science and Technology, China. With expertise in numerical analysis and vehicle engineering, his work focuses on fluid dynamics in fuel systems and hydrogen storage technologies. He has published 12 impactful research papers, with a citation count of 53, demonstrating his commitment to advancing engineering innovation. Dr. Zhang’s research contributes significantly to automobile engineering, making him a distinguished academic in his field.

Publication profile

Orcid

Scopus

Education and Experience

Education:
- 2016–2020: Doctorate in Vehicle Engineering, Jiangsu University
- 2011–2016: Assistant Professor, Lecturer, Vehicle Engineering, Inner Mongolia University of Science and Technology
Experience:
- 2011–2016: Assistant Professor, School of Mechanical Engineering, Inner Mongolia University of Science & Technology
- 2020–Present: Associate Professor, School of Mechanical Engineering, Inner Mongolia University of Science & Technology

Suitability For The Award

Dr. Enhui Zhang, a dedicated academic and researcher in the field of Vehicle Engineering, is an exemplary candidate for the Best Researcher Award. With a strong background in numerical analysis and engineering, Dr. Zhang has made significant contributions to the understanding of sloshing dynamics in fuel tanks and hydrogen behavior in storage cylinders. His work, characterized by impactful publications in top-tier journals and international conferences, has not only advanced the field of automotive engineering but has also led to practical applications in fuel tank design and hydrogen storage systems.

Professional Development

Enhui Zhang’s professional journey spans over a decade of dedicated service in teaching and research within vehicle engineering. His expertise lies in numerical simulations, fuel system dynamics, and advanced vehicle design. As a prolific researcher with 53 citations and 12 publications, Dr. Zhang continually explores innovative solutions in automobile engineering, focusing on the integration of sustainability and efficiency. He collaborates extensively with peers and mentors students in cutting-edge projects, fostering the next generation of automotive engineers.

Research Focus

Enhui Zhang specializes in numerical analysis, fluid dynamics, and hydrogen storage technology. His research delves into the behavior of oil and fuel sloshing in automotive tanks, enhancing vehicle performance and safety. He has also contributed to studies on rapid refueling in hydrogen storage cylinders, a critical area for sustainable energy solutions. Dr. Zhang’s work bridges theoretical models and practical applications, aiming to innovate automotive engineering for a more efficient and eco-friendly future.

Awards and Honors

Recognized for Excellence in Research, Inner Mongolia University of Science & Technology
Best Paper Award in Numerical Analysis, Jiangsu University
Awarded Fellowship for Doctoral Research, Jiangsu University
Outstanding Mentor in Vehicle Engineering Projects, 2021

Publications Top Notes

Numerical Analysis of Hydrogen Behavior Inside Hydrogen Storage Cylinders under Rapid Refueling Conditions Based on Different Shapes of Hydrogen Inlet Ports (2024)
Numerical Analysis of Oil Liquid Sloshing in Fuel Tanks of Plug-in Hybrid Electric Vehicles under Different Structure Baffles (2024)
Numerical Study of Oil Liquid Sloshing Characteristics Based on Different Baffle Structures and Placements in Automobile Fuel Tank (2021)
Numerical Analysis of Oil Liquid Sloshing Characteristics in Fuel Tank with Different Baffle Structures (2021) – Cited by: 3
Influencing Analysis of Different Baffle Factors on Oil Liquid Sloshing in Automobile Fuel Tank (2020) – Cited by: 14
Numerical Analysis on the Sloshing of Free Oil Liquid Surface Based on Fuel Tanks of Different Shapes (2020) – Cited by: 4
Numerical Research on Sloshing of Free Oil Liquid Surface Based on Different Baffle Shapes in Rectangular Fuel Tank (2020) – Cited by: 11
Numerical Analysis on the Sloshing of Free Oil Liquid Surface Under the Variable Conditions of Vehicle (2019) – Cited by: 16
Numerical Analysis of Influencing Factors on Sloshing of Oil Liquid in Automobile Fuel Tank (2018) – Cited by: 4

Jingzhu Wang | Hydrodynamics | Best Researcher Award

Published On 14/12/202412/12/2024 by ScienceFather

Jingzhu Wang | Hydrodynamics | Best Researcher Award

Prof. Jingzhu Wang, Institute of Mechanics, Chinese Academy of Sciences, China.

Prof. Jingzhu Wang is an Associate Researcher at the Institute of Mechanics, Chinese Academy of Sciences. His research focuses on interfacial hydrodynamics, particularly cavitation bubble collapse and free surface stability, contributing to the design of high-speed interfacial equipment. He has led major projects funded by the National Natural Science Foundation and other national programs. Prof. Wang has published extensively in top journals, including Journal of Fluid Mechanics and Physical Review Fluids. He has received several prestigious awards, including the ASME Best Paper Award in 2019, and is an active member of academic committees.

Publication profile

Scopus

Education and Experience

- 2017.05–2019.12: Assistant Researcher, Institute of Mechanics, Chinese Academy of Sciences
- 2019.12–Present: Associate Researcher, Institute of Mechanics, Chinese Academy of Sciences
- 2008.09–2012.07: Bachelor, Dalian Maritime University, China
- 2013.04–2015.03: Master’s Degree, Kobe University, Japan
- 2015.04–2017.03: Ph.D., Kobe University, Japan

Suitability For The Award

Prof. Jingzhu Wang is an outstanding candidate for the Best Researcher Award due to his pioneering work in interfacial hydrodynamics, particularly in cavitation bubble collapse and free surface stability. His leadership in major national research initiatives, impactful publications, and recognition from prestigious organizations highlight his significant contributions to fluid dynamics. Prof. Wang’s research has advanced high-speed interfacial equipment design, making him a leader in the field.

Professional Development

Prof. Wang has made significant strides in advancing interfacial hydrodynamics research, particularly focusing on cavitation bubble collapse and free surface stability. His work has led to breakthroughs in high-speed interfacial equipment design. As a recognized leader in his field, Prof. Wang holds multiple academic roles, including positions on editorial boards of prominent journals. He has been honored with the 2019 ASME Best Paper Award in CFD and was selected for the Youth Innovation Promotion Association of the Chinese Academy of Sciences. His ongoing efforts contribute to various national and international scientific committees.

Research Focus

Prof. Wang’s research delves into interfacial hydrodynamics, particularly addressing challenges like cavitation bubble collapse and free surface stability. This research has critical applications in the development of high-speed interfacial equipment, which is crucial for industries such as ocean engineering and fluid dynamics. By improving the understanding of these phenomena, Prof. Wang’s work enables advancements in the design of more efficient and effective machinery. His contributions are foundational to the continued development of technologies involving fluid-structure interaction, particularly in high-speed environments.

Awards and Honors

Best Paper Award (CFD category), American Society of Mechanical Engineers (ASME) 2019
Young Talent Support Program, China Association for Science and Technology, 2020
“Excellent Training Program” B Category, Institute of Mechanics, Chinese Academy of Sciences, 2021
Youth Innovation Promotion Association, Chinese Academy of Sciences, 2021

Publications Top Notes

Physics-enhanced data-driven turbulence model for flow around submerged bodies, Ocean Engineering, 2025, 119779
Crown control in a pair of cavitation bubbles close to a free surface: A numerical study, Physics of Fluids, 2024, 107127
Modeling two-phase flows with complicated interface evolution using parallel physics-informed neural networks, Physics of Fluids, 2024, 093330
Cavitation caused by an elastic membrane deforming under the jetting of a spark-induced bubble, Physical Review Fluids, 2024, 093604
Numerical analysis of ice-breaking effects induced by two interacting bubbles using the coupled boundary element method and peridynamics model, Physics of Fluids, 2024, 097110
A reduction-consistent phase field model for non-isothermal multiphase flows of N immiscible incompressible fluids, International Journal of Heat and Mass Transfer, 2024, 125657
Jetting of a near-wall cavitation bubble induced by another tandem bubble, Journal of Hydrodynamics, 2024, 444–456
Dynamics of tandem bubble interaction near tissue, Physics of Fluids, 2024, 053324
Wall vortex induced by the collapse of a near-wall cavitation bubble: Influence of the water surface, Physical Review Fluids, 2024, 053602

Chao Jiang | Turbulence Modeling | Best Researcher Award

Published On 09/12/202409/12/2024 by ScienceFather

Chao Jiang | Turbulence Modeling | Best Researcher Award

Dr. Chao Jiang, Peking University, China.

Dr. Chao Jiang is a postdoctoral researcher in the Department of Mechanics and Aerospace Engineering at Peking University, Beijing. His pioneering work bridges fluid mechanics, machine learning, and turbulence modeling with an emphasis on AI-enhanced scientific computations and aerodynamic bionics. Dr. Jiang’s notable achievements include uncovering wake anomalies in bio-inspired bluff bodies and developing physics-inspired machine learning methods with form-invariant symmetry neurons. Previously, he served as an Assistant Professor at the Southern University of Science and Technology and an AI Engineer at TenFong Central Research Institute. Dr. Jiang combines cutting-edge science with real-world applications to revolutionize flow control.

Publication profile

Orcid

Education and Experience

2010-2014: B.Sc. in Civil Engineering, Harbin Institute of Technology
2014-2017: M.Sc. in Engineering Mechanics, Harbin Institute of Technology
2017-2023: Ph.D. in Engineering Mechanics, Harbin Institute of Technology
Assistant Professor: Southern University of Science and Technology
AI Engineer: TenFong Central Research Institute
Postdoctoral Researcher: Mechanics & Aerospace Engineering, Peking University

Suitability For The Award

Dr. Chao Jiang is an outstanding candidate for the Best Researcher Award based on his groundbreaking contributions to the fields of fluid mechanics, turbulence modeling, and AI-enhanced scientific computations. His interdisciplinary approach integrating machine learning and computational science with classical mechanics makes him a pioneer in his field.

Professional Development

Dr. Chao Jiang has made transformative contributions to fluid mechanics, turbulence modeling, and AI-driven scientific computations. His research revealed phase transitions in wavy cylinder wake dynamics, offering critical insights into flow control. Dr. Jiang redefined turbulence modeling by integrating data-driven methods with physics-based closure strategies, improving multiscale computational frameworks. Additionally, his breakthrough work on physics-inspired symmetry neurons introduced form-invariant deep learning, enhancing the modeling of scalar and tensor systems. By combining machine learning with classical physics, Dr. Jiang pushes boundaries, creating innovative tools to solve complex aerodynamic and computational challenges.

Research Focus

Dr. Chao Jiang’s research focuses on the integration of fluid mechanics, aerodynamics, and machine learning to advance scientific understanding and engineering applications. His work in turbulence modeling leverages data-driven approaches to develop more accurate closure models for complex fluid flow simulations. He is also pioneering physics-inspired machine learning, creating neural networks with symmetry neurons to improve computational modeling and solve multi-scale problems. Dr. Jiang’s exploration of aerodynamic bionics and flow control is transforming the way bio-inspired designs are applied to improve efficiency in aerodynamics. His research bridges traditional engineering with cutting-edge AI to redefine how we approach scientific computation.

Awards and Honors

Outstanding Researcher Award for contributions to turbulence modeling.
Best Dissertation Award, Harbin Institute of Technology, 2023.
Innovation in AI for Scientific Computation Award, TenFong Central Research Institute.
Young Scientist Recognition for pioneering work in physics-informed machine learning.
Top Researcher Award in Fluid Mechanics & Flow Control.

Publications

Velocity phase-transitions in the wake of a wavy cylinder at low Reynolds numbers

Ocean Engineering | 2025

An interpretable framework of data-driven turbulence modeling using deep neural networks

Physics of Fluids | 2021

A Novel Algebraic Stress Model with Machine-Learning-Assisted Parameterization

Energies | 2020

A numerical investigation of Reynolds number sensitivity of flow characteristics around a twin-box girder

Journal of Wind Engineering and Industrial Aerodynamics | 2018

Publication profile

Education and Experience

Suitability For The Award

Professional Development

Research Focus

Awards and Honors

Publications Top Notes

Numerical Analysis of Hydrogen Behavior Inside Hydrogen Storage Cylinders under Rapid Refueling Conditions Based on Different Shapes of Hydrogen Inlet Ports (2024)

Numerical Analysis of Oil Liquid Sloshing in Fuel Tanks of Plug-in Hybrid Electric Vehicles under Different Structure Baffles (2024)

Numerical Study of Oil Liquid Sloshing Characteristics Based on Different Baffle Structures and Placements in Automobile Fuel Tank (2021)

Numerical Analysis of Oil Liquid Sloshing Characteristics in Fuel Tank with Different Baffle Structures (2021) – Cited by: 3

Influencing Analysis of Different Baffle Factors on Oil Liquid Sloshing in Automobile Fuel Tank (2020) – Cited by: 14

Numerical Analysis on the Sloshing of Free Oil Liquid Surface Based on Fuel Tanks of Different Shapes (2020) – Cited by: 4

Numerical Research on Sloshing of Free Oil Liquid Surface Based on Different Baffle Shapes in Rectangular Fuel Tank (2020) – Cited by: 11

Numerical Analysis on the Sloshing of Free Oil Liquid Surface Under the Variable Conditions of Vehicle (2019) – Cited by: 16

Numerical Analysis of Influencing Factors on Sloshing of Oil Liquid in Automobile Fuel Tank (2018) – Cited by: 4

Prof. Jingzhu Wang, Institute of Mechanics, Chinese Academy of Sciences, China.

Publication profile

Education and Experience

Suitability For The Award

Professional Development

Research Focus

Awards and Honors

Publications Top Notes

Physics-enhanced data-driven turbulence model for flow around submerged bodies, Ocean Engineering, 2025, 119779

Crown control in a pair of cavitation bubbles close to a free surface: A numerical study, Physics of Fluids, 2024, 107127

Modeling two-phase flows with complicated interface evolution using parallel physics-informed neural networks, Physics of Fluids, 2024, 093330

Cavitation caused by an elastic membrane deforming under the jetting of a spark-induced bubble, Physical Review Fluids, 2024, 093604

Numerical analysis of ice-breaking effects induced by two interacting bubbles using the coupled boundary element method and peridynamics model, Physics of Fluids, 2024, 097110

A reduction-consistent phase field model for non-isothermal multiphase flows of N immiscible incompressible fluids, International Journal of Heat and Mass Transfer, 2024, 125657

Jetting of a near-wall cavitation bubble induced by another tandem bubble, Journal of Hydrodynamics, 2024, 444–456

Dynamics of tandem bubble interaction near tissue, Physics of Fluids, 2024, 053324

Wall vortex induced by the collapse of a near-wall cavitation bubble: Influence of the water surface, Physical Review Fluids, 2024, 053602

Dr. Chao Jiang, Peking University, China.

Publication profile

Education and Experience

Suitability For The Award

Professional Development

Research Focus

Awards and Honors

Publications

Velocity phase-transitions in the wake of a wavy cylinder at low Reynolds numbers

Ocean Engineering | 2025

An interpretable framework of data-driven turbulence modeling using deep neural networks

Physics of Fluids | 2021

A Novel Algebraic Stress Model with Machine-Learning-Assisted Parameterization

Energies | 2020

A numerical investigation of Reynolds number sensitivity of flow characteristics around a twin-box girder

Journal of Wind Engineering and Industrial Aerodynamics | 2018