Honglei Wang | Nanomaterials | Best Researcher Award

Assoc. Prof. Dr. Honglei Wang | Nanomaterials | Best Researcher Award

Assoc. Prof. Dr. Honglei Wang at Taiyuan University of Science and Technology, China

Honglei Wang (πŸ‘¨β€πŸ”¬), born in 1989, is a PhD holder and lecturer at Taiyuan University of Science and Technology πŸŽ“. He earned his doctoral degree in Physical Chemistry from Dalian University of Technology in 2022 πŸ“š. Since then, he has been dedicated to teaching and cutting-edge research in electrocatalysis βš—οΈ. His work centers around functional inorganic nanomaterials for sustainable energy and chemical conversion 🌱⚑. With over 10 publications in high-impact journals like Adv. Energy Mater., Nano Energy, and Appl. Catal. B πŸ“–, he has also secured a Chinese invention patent πŸ§ͺ. Wang continues to contribute actively to energy research innovation πŸš€.

Professional Profile:

Scopus

πŸ”Ή Education & ExperienceΒ 

  • πŸŽ“ PhD in Physical Chemistry – Dalian University of Technology (2022)

  • 🏫 Lecturer – Taiyuan University of Science and Technology (2022–present)

  • πŸ“˜ Engaged in teaching and research in Physical Chemistry

  • πŸ”¬ Focus on electrocatalytic conversion of functional inorganic nanomaterials

πŸ”Ή Professional DevelopmentΒ 

Dr. Honglei Wang continues to advance his career through both academic and applied scientific endeavors πŸ“ˆπŸ”¬. He has hosted a Shanxi Province Basic Research Program (Youth) project and is actively involved in multidisciplinary research collaborations 🀝. Wang is committed to nurturing innovation through experimental electrocatalysis and nanomaterial synthesis πŸ§ͺ. His publication record in Adv. Energy Mater., Nano Energy, and Appl. Catal. B reflects a strong foundation in energy and environment-focused catalysis 🌿. With a Chinese authorized invention patent to his name, he aims to bridge the gap between fundamental research and sustainable industrial application 🏭⚑.

πŸ”Ή Research FocusΒ 

Dr. Wang’s research is primarily focused on electrocatalytic conversion processes using functional inorganic nanomaterials πŸ”‹πŸ§ͺ. His investigations target both energy conversion and biomass upgrading through the design of efficient, tunable electrocatalysts πŸŒΏβš™οΈ. His expertise includes hydrogen evolution reactions (HER), hydroxymethylfurfural oxidation, and electro-Fenton reactions πŸ’§βš‘. Using techniques like d-electron tuning and interfacial engineering, he develops advanced materials such as CoMoP, CoP-CoOOH, and NiCoP that promote high catalytic performance πŸ”¬πŸ§«. The goal is to design low-cost, stable catalysts for green energy and chemical transformation applications πŸŒβ™»οΈ.

πŸ”Ή Awards & HonorsΒ 

  • πŸ… Hosted one Shanxi Province Basic Research Program (Youth) project

  • 🧬 Holder of one Chinese authorized invention patent

  • πŸ“‘ Published 10+ papers as first or corresponding author in high-impact journals

  • 🧠 Recognized for innovative research in electrocatalytic nanomaterials

Publication Top Notes

Title: Hydrothermal Growth and Capacitance Characteristics of TiOβ‚‚ Nanostructures

Author: G. Tuersun, H. Wang, H. Cui, W. Bai, and C. Yang

Year: 2025

Conclusion

Dr. Honglei Wang is a strong candidate for a Best Researcher Award, especially in early-career or emerging investigator categories. His cutting-edge contributions to electrocatalysis, high-quality publications, innovation in nanomaterials, and early independent research leadership make him highly deserving of recognition. His work has both academic significance and societal relevance, positioning him as a rising star in physical chemistry and materials science.

Shihao Zhang | Nanostructures | Best Researcher Award

Dr. Shihao Zhang | Nanostructures | Best Researcher Award

Specially Appointed Assistant Professor at Osaka University, Japan.

πŸŽ“ Dr. Shihao Zhang (born August 1993) is a Specially Appointed Assistant Professor at Osaka University, Japan, specializing in computational materials science. His research spans materials theory, mechanical properties, crystal defects, nanostructures, and machine learning applications. He earned his Ph.D. in Materials Science from Beihang University and has held prestigious research positions, including a JSPS Postdoctoral Fellowship. Dr. Zhang has contributed significantly to high-throughput materials simulations, publishing 34+ papers in leading journals like npj Computational Materials and Acta Materialia, accumulating 750+ citations (H-index: 13).

Professional Profile:

Scopus Profile

Suitability for Best Researcher Award – Dr. Shihao Zhang

Dr. Shihao Zhang stands out as a strong candidate for the Best Researcher Award due to his remarkable contributions to computational materials science. His expertise in materials theory, nanostructures, and machine learning-driven materials design has significantly advanced the field. His research has led to high-throughput materials simulations, fundamental discoveries in mechanical properties, and the development of innovative software tools.

Education & Experience

πŸ“š Education:

  • πŸŽ“ Ph.D. in Materials Science – Beihang University, 2021
  • πŸ“Š B.S. in Materials Science & Engineering & Applied Mathematics – Dual degrees

πŸ§‘β€πŸ« Experience:

  • πŸ”¬ Specially Appointed Assistant Professor – Osaka University, Japan
  • πŸ… JSPS Postdoctoral Fellow – Osaka University
  • πŸ’» Researcher – IT4Innovations, Czech National Supercomputing Centre

Professional Development

πŸ§ͺ Dr. Shihao Zhang has made significant contributions to computational materials science through advanced modeling, high-throughput simulations, and machine learning techniques. He has developed innovative software tools to enhance material design and prediction capabilities. πŸ“ˆ His work bridges fundamental materials theory with practical applications, focusing on mechanical properties, plasticity, and nanostructures. πŸ”— His research collaborations span multiple international institutions, fostering advancements in computational techniques and supercomputing applications. πŸ† With 34+ publications in prestigious journals and an H-index of 13, Dr. Zhang continues to drive impactful discoveries in materials science.

Research Focus

πŸ› οΈ Dr. Zhang’s research lies at the intersection of materials theory, mechanical properties, crystal defects, plasticity, nanostructures, and computational modeling. His expertise in machine learning-driven materials design enables the development of advanced materials with superior mechanical performance. πŸ’‘ His work utilizes high-throughput computational methods to predict material behavior at the atomic and nanoscale levels. πŸ”¬ By integrating data-driven approaches with physics-based simulations, he enhances material discovery and optimization. 🌍 His research is essential for innovations in aerospace, electronics, and structural materials, pushing the boundaries of next-generation materials engineering.

Awards & Honors

πŸ… JSPS Postdoctoral Fellowship – Japan Society for the Promotion of Science
πŸ“œ Multiple Research Grants – Supporting computational materials research
πŸ“– 34+ High-Impact Publications – npj Computational Materials, Acta Materialia, Physical Review B
πŸ“Š 750+ Citations (H-index: 13) – Recognized research contributions
πŸ’‘ Developed Software Tools – For high-throughput materials simulations
🌍 International Research Collaborations – Osaka University, IT4Innovations, and more

Publication Top Notes

  • Title: Temperature and loading-rate dependent critical stress intensity factor of dislocation nucleation from crack tip: Atomistic insights into cracking at slant twin boundaries in nano-twinned TiAl alloys

    • Authors: R. Fu, Rong; Z. Rui, Zhiyuan; J. Du, Junping; F. Meng, Fanshun; S. Ogata, Shigenobu
    • Year: 2025
  • Title: A dislocation perspective on heterointerfacial strengthening in nanostructured diamond and cubic boron nitride composites

    • Authors: H. Wei, Hanqing; H. Zhan, Haifei; D. Legut, Dominik; S. Zhang, Shihao
    • Year: 2025
  • Title: Dislocation plasticity in c-axis nanopillar compression of wurtzite ceramics: A study using neural network potentials

    • Authors: S. Zhang, Shihao; S. Ogata, Shigenobu
    • Year: 2025