Zhaocang Meng | Computational Methods | Best Researcher Award

Assist. Prof. Dr. Zhaocang Meng | Computational Methods | Best Researcher Award

Institute of Modern Physics, Chinese Academy of Sciences | China

Dr. Zhaocang Meng is a materials physicist specializing in first-principles simulations, irradiation damage modeling, and additive manufacturing of advanced materials. He earned his Ph.D. in Science through a joint program between the Institute of Modern Physics, Chinese Academy of Sciences (CAS) and Lanzhou University. His research spans the atomic-scale behavior of defects, mechanical property evaluation, and high-throughput screening for material optimization. Currently based at the Institute of Modern Physics, CAS, he is an integral contributor to strategic projects funded by both national and provincial Chinese foundations.

šŸ‘Øā€šŸŽ“Profile

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šŸŽ“ Early Academic Pursuits

Dr. Meng began his academic journey at Northwest Normal University, majoring in Physics and Electronic Engineering, where he laid the groundwork in material science and theoretical physics. He continued his master’s studies at the Institute of Modern Physics, CAS, focusing on radiation effects and material behavior. His intellectual curiosity and growing expertise led to a Ph.D. (2018–2021) in a joint doctoral program between CAS and Lanzhou University, where he honed his skills in density functional theory (DFT) and multi-scale simulations, preparing him for a robust career in theoretical and computational materials science.

šŸ’¼ Professional Endeavors

Since July 2021, Dr. Meng has served as a researcher at the Institute of Modern Physics, Chinese Academy of Sciences, contributing to major national research initiatives, including the CAS Strategic Priority Program. His role encompasses both theoretical modeling and applied computation for nuclear-grade materials, ceramics, and metallic systems. He is actively involved in Grain Boundary Segregation Engineering for SiC and BeO, and supports the development of neural network potentials. His practical contributions extend to thermophotovoltaic energy systems and irradiation-resilient structural materials, demonstrating a bridge between computational insight and real-world application.

šŸ”¬ Contributions and Research FocusĀ 

Dr. Meng’s primary contributions lie in the atomistic modeling of radiation-induced defects, grain boundary behavior, and mechanical performance of ceramics and metals. His first-principles investigations in materials like Tiā‚ƒAlCā‚‚, BeO, SiC, and Be₁₂Ti have revealed novel insights into defect–impurity interactions, hydrogen/helium diffusion, and segregation phenomena under extreme environments. He has also made impactful strides in the development of neural network potentials for materials like SiC, allowing large-scale simulations with quantum-level accuracy. His work directly supports the advancement of materials for nuclear reactors, space missions, and extreme-condition engineering.

šŸŒ Impact and Influence

Dr. Meng’s work has influenced fields such as nuclear materials, condensed matter theory, and computational materials science. His articles in high-impact journals like Physical Chemistry Chemical Physics, Journal of Nuclear Materials, and RSC Advances have become key references in radiation material modeling. His collaborations across diverse domains, from hydrogen embrittlement to deep potential learning for FCC copper, highlight his versatility. The adoption of his findings in defect prediction and grain boundary design has practical implications for materials used in reactors and space technology, positioning him as a rising figure in next-generation material research.

šŸ“š Academic CitesĀ 

With a growing body of 14+ peer-reviewed publications, Dr. Meng’s research outputs have earned significant citations in domains like irradiation defect dynamics, machine-learned interatomic potentials, and grain boundary engineering. His work on Tiā‚ƒAlCā‚‚ and Be₁₂Ti systems has been cited for its pioneering insights into defect clusters and transmutation effects, while his 2023 papers on SiC doping and neural network-based modeling have gained traction among materials engineers and computational physicists. His interdisciplinary footprint, combining physics, chemistry, and mechanical engineering, enhances his recognition across both academic and applied research networks.

šŸ› ļø Research SkillsĀ 

Dr. Meng demonstrates mastery in first-principles methods (DFT), molecular dynamics, machine learning potentials, and multi-scale simulation frameworks. His computational toolkit includes VASP, Quantum ESPRESSO, LAMMPS, and deep learning platforms like DeePMD-kit. He excels in automated high-throughput screening, grain boundary structure prediction, and radiation damage modeling. His ability to link atomic-level processes to macroscopic properties allows him to tackle engineering problems with atomic precision. He is adept at designing simulation protocols that align with experimental validations, ensuring a feedback loop between theory and practice a critical skill in today’s data-driven research environment.

šŸ‘Øā€šŸ« Teaching ExperienceĀ 

While primarily a researcher, Dr. Meng has informally mentored junior scientists and graduate students during his tenure at the Institute of Modern Physics. He has contributed to internal training modules and simulation workshops focusing on first-principles methods and materials modeling software. As his academic journey matures, he is well-positioned to engage in formal teaching or curriculum development, especially in computational material science, AI-driven simulations, and solid-state physics. His clarity in technical writing and collaborative style suggest strong potential as a future university lecturer or postgraduate supervisor.

šŸ… Awards and HonorsĀ 

Although specific awards are not mentioned, Dr. Meng’s selection for national strategic research programs (e.g., CAS Grant No. XDA0410000) and provincial funding initiatives like Guangdong Basic Research Foundation reflect institutional recognition of his capabilities. His consistent publication record in top-tier international journals underscores his scientific credibility. Being chosen to lead studies involving Grain Boundary Engineering and deep learning potentials in cutting-edge materials confirms his reputation among peers and senior collaborators. With this trajectory, formal honors such as Young Scientist Awards or Outstanding Researcher Fellowships are highly likely in the near future.

šŸ”® Legacy and Future ContributionsĀ 

Dr. Zhaocang Meng is poised to leave a lasting legacy in predictive materials design. His work in irradiation resistance, grain boundary tailoring, and AI-driven material exploration sets a solid foundation for next-gen energy systems, including fusion reactors, radioisotope thermoelectric generators, and space propulsion materials. Future contributions may include cross-disciplinary collaboration with AI scientists, sustainable materials discovery, and experimental validation partnerships. His potential to transition from a leading researcher to a thought leader and educator is evident. Dr. Meng represents a new era of materials scientists who bridge theory, computation, and practical innovation.

Top Noted Publications

Segregation and aggregation behavior of impurity atoms at grain boundaries of BeO: A first-principles study

  • Authors: Xuejie Wang, Teng Shen, Canglong Wang, Kai He, Zhaocang Meng*, et al.
    Journal: Journal of Nuclear Materials
    Year: 2025

Screening and manipulation by segregation of dopants in grain boundary of Silicon carbide: First-principles calculations

  • Authors: Z.C. Meng, C.L. Wang, Y.L. Wang, et al.
    Journal: Ceramics International
    Year: 2023

First-principles investigations of oxygen interaction with hydrogen/helium/vacancy irradiation defects in Tiā‚ƒAlCā‚‚

  • Authors: Zhaocang Meng, Canglong Wang, Jitao Liu, Yinlong Wang, Xiaolu Zhu, Lei Yang, Liang Huang
    Journal: Physical Chemistry Chemical Physics
    Year: 2021

New insight into the interaction between divacancy and H/He impurity in Tiā‚ƒAlCā‚‚ by first-principles studies

  • Authors: Zhaocang Meng, Canglong Wang, Jitao Liu, Yinlong Wang, Xiaolu Zhu, Lei Yang, Liang Huang
    Journal: Physical Chemistry Chemical Physics
    Year: 2020

Deep potential for a face-centered cubic Cu system at finite temperatures

  • Authors: Y.Z. Du, Z.C. Meng, Q. Yan, et al.
    Journal: Physical Chemistry Chemical Physics
    Year: 2022

 

Hoc Nguyen | Computational Methods | Best Researcher Award

Assoc. Prof. Dr. Hoc Nguyen | Computational Methods | Best Researcher Award

Senior Lecturer at Hanoi National University of Education | Vietnam

Nguyen Quang Hoc D, Assoc. Prof. PhD, is a distinguished academic and researcher in the field of Theoretical Physics. He currently holds the position of High-ranking Lecturer at the Department of Theoretical Physics, Faculty of Physics, at the Hanoi National University of Education, where he has contributed extensively to both teaching and research since 2009. His academic journey reflects a deep commitment to physics, spanning over decades of study and experience in solid-state physics, theoretical physics, and mechanical properties of materials.

šŸ‘Øā€šŸŽ“Profile

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Early Academic Pursuits šŸŽ“

Nguyen Quang Hoc D embarked on his academic career with a solid foundation in solid-state physics, earning his Engineer degree from Hanoi University of Technology in 1982. His deep interest in theoretical physics led him to pursue advanced studies at the Hanoi National University of Education, where he completed his Master’s degree in Theoretical Physics in 1989 and later achieved his PhD in 1994, further honing his expertise in the field.

Professional Endeavors šŸ’¼

His professional career began in 1983 at the College of Teacher Training (now Haiphong University), where he served as a Lecturer and Head of the Physical Laboratory until 1994. Later, he joined the Institute of Nuclear Science and Technique, VINATOM in 1994, contributing as a Researcher. In 1997, he transitioned to the Department of Scientific Management, Faculty of Physics at Hanoi National University of Education, where he took on roles as an Expert and Principal Lecturer until he became an Associate Professor in 2009. Since 2016, he has remained in his current capacity as a High-ranking Lecturer at the university.

Contributions and Research Focus šŸ”¬

Prof. Nguyen Quang Hoc D has focused much of his research on mechanical and thermodynamic properties of metals and interstitial alloys, particularly through the statistical moment method. His work has provided valuable insights into the transport properties of superconductors and how artificial nanostructures can influence these properties. His research has significant implications in materials science, particularly in understanding how nanostructures can improve the performance of superconductors in real-world applications.

Impact and Influence šŸŒ

With a career spanning more than three decades, Assoc. Prof. Nguyen Quang Hoc D has made lasting contributions to both academic research and teaching. His work on superconductors and nanostructure materials has advanced our understanding of the mechanical and thermodynamic properties of advanced materials. His findings have opened the door for further studies in nanotechnology and material science, positioning him as a leading figure in the development of advanced materials in the Vietnamese academic community.

Academic Citations šŸ“š

Prof. Nguyen Quang Hoc D has earned recognition for his work, resulting in numerous academic citations and publications in international journals related to materials physics. His contributions to the field of theoretical physics have significantly impacted the understanding of interstitial alloys, superconductivity, and the behavior of metals under extreme conditions, making him a respected authority in his field.

Research Skills 🧠

Assoc. Prof. Nguyen Quang Hoc D possesses advanced research skills in statistical methods, materials characterization, and nanotechnology. His expertise includes the application of the statistical moment method to study the thermodynamic behavior of materials, allowing him to analyze and predict the mechanical properties of metals and alloys under various conditions. He has also worked on superconductivity, making contributions to transport properties and the influence of nanostructure pinning on type-II superconductors.

Teaching Experience šŸ‘Øā€šŸ«

Assoc. Prof. Nguyen Quang Hoc D has a wealth of teaching experience, spanning over two decades at the Hanoi National University of Education. He has taught a range of undergraduate and graduate courses in theoretical physics and solid-state physics, providing students with foundational knowledge while also challenging them with cutting-edge concepts in the field. His role as a mentor and principal lecturer has helped shape the next generation of physicists and scientists in Vietnam.

Awards and Honors šŸ…

Throughout his career, Assoc. Prof. Nguyen Quang Hoc D has been the recipient of various awards and honors in recognition of his contributions to the field of physics. His dedication to both research and teaching has earned him respect within the academic community, and he continues to inspire those around him with his innovative research and commitment to excellence.

Legacy and Future Contributions 🌱

As Assoc. Prof. Nguyen Quang Hoc D continues his work at Hanoi National University of Education, his legacy remains rooted in his innovative research, teaching dedication, and academic leadership. Moving forward, he is expected to continue influencing the field of material science, particularly in the realms of superconductivity and nanotechnology. His future contributions will undoubtedly lead to advancements in the understanding of metals, alloys, and superconductive materials, strengthening the scientific community in Vietnam and beyond.

Publications Top Notes

On the Melting of Crystal Under Compression: SMM Fundamental Theory and its Application to Laser Materials Processing

  • Authors: Nguyen Quang Hoc, Le Hong Viet
    Journal: Transactions of the Indian Institute of Metals
    Year: 2025

Theoretical predictions of thermodynamic properties, elastic deformation, HCP-FCC structural phase transition and melting of iron at high temperatures up to 18000 K and high pressures up to 4000 GPa

  • Authors: Nguyen Quang Hoc, Nguyen Duc Trung, Hua Xuan Dat, Le Thu Lam
    Journal: Physics Letters A
    Year: 2025

Correction: Thermodynamic properties of perovskite MgSiO3 with cubic structure under extreme conditions

  • Authors: Quang Hoc Nguyen, Nhi Quynh Ngo, Thi Mai Dao, Cong Vien Tran, Thi Thu Tra Lai, Thi Van Anh Le, Thi Thuy An Nguyen
    Journal: The European Physical Journal B
    Year: 2024

Thermodynamic properties of perovskite MgSiO3 with cubic structure under extreme conditions

  • Authors: Hoc Quang Nguyen, Nhi Quynh Ngo, Mai Thi Dao, Vien Cong Tran, Tra Thi Thu Lai, Anh Thi Van Le, An Thi Thuy Nguyen
    Journal: The European Physical Journal B
    Year: 2024

Study on Remelting of Crystal Under Extreme Conditions

  • Authors: Hoc Quang Nguyen, Huyen Thanh Thi Tran, Nhi Quynh Ngo, Mai Thi Dao, Phong Khac Nguyen
    Journal: Transactions of the Indian Institute of Metals
    Year: 2024

 

 

Muhammad Yar Khan | Computational Methods | Best Researcher Award

Assoc. Prof. Dr. Muhammad Yar Khan | Computational Methods | Best Researcher Award

Associate Professor at Qilu institute of Technology | China

Dr. Hafiz Muhammad Yar Khan is an accomplished Materials Scientist and Associate Professor in Physics, with an extensive background in Density Functional Theory (DFT) Materials Modeling. He completed his Ph.D. in Materials Science Engineering at Zhejiang University, China (2023), which is ranked 41st in the QS World University Rankings (2022). His research is focused on novel 2D materials, energy storage materials, and the optical and magnetic properties of advanced materials, with significant contributions to the fields of spintronics, energy storage, and 2D magnetic materials.

šŸ‘Øā€šŸŽ“Profile

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ORCID

Early Academic Pursuits šŸŽ“

Dr. Khan’s academic journey began with a Master of Science in Physics (M. Phil) from Hazara University Mansehra, Pakistan, in 2011, where he developed his passion for solid-state physics and computational material science. His dissertation focused on the first-principles study of perovskite-type oxides, laying the foundation for his later work in computational materials research. His focus on quantum mechanics, electrodynamics, and applied research techniques during his M.S. equipped him with a solid theoretical and experimental base.

Professional Endeavors šŸ’¼

Dr. Khan has held various teaching and administrative roles across prominent institutions in both Pakistan and China. His career includes serving as Lecturer in Physics at Kohat University of Science and Technology and The University of Haripur, Pakistan. His current position as Associate Professor at Qilu Institute of Technology, China, reflects his rising prominence in academia. Dr. Khan has also contributed to academic committees, such as being a member of the Academic Council at Kohat University and organizing events like sports day and international cultural day, showing his leadership in academic and extracurricular spheres.

Contributions and Research Focus šŸ”¬

Dr. Khan’s research spans several cutting-edge areas in materials science. His Ph.D. dissertation on “First-Principles Study of Tuning Magnetic and Optical Properties of Novel 2D-Materials” focuses on materials such as transition metal carbon trichalcogenides and 2D magnetic materials. He has also explored energy storage technologies, such as Na and Li-ion batteries, providing insights into anode and cathode materials. His work also delves into optoelectronics and spintronics devices, underscoring his interdisciplinary approach.

Notable research topics include:

  • Magnetic and optical properties of 2D materials.

  • Energy storage materials (batteries, cathodes, and anodes).

  • Spintronics and optoelectronics for device applications.

Impact and Influence šŸŒ

Dr. Khan’s research has had significant implications in both academia and industry, especially in 2D materials and energy storage technologies. His publications in prestigious journals like Journal of Superconductivity and Novel Magnetism, Physics Letter A, and Nanoscale demonstrate his ability to contribute to high-impact research. His work is highly regarded in the scientific community, and he has collaborated with leading universities and institutions such as the New Jersey Institute of Technology (NJIT), Quaid-i-Azam University, University of Ulsan, and King Saud University.

His influence extends beyond materials science into academic collaboration, where he serves as a bridge between global research hubs in Pakistan, China, South Korea, and Saudi Arabia.

Research Skills 🧠

Dr. Khan is proficient in various computational software critical to materials science research, including:

  • WIEN2K

  • VASP

  • FLAPW

His ability to independently formulate research questions, conduct empirical research, and analyze data systematically has been key to his success. His first-principles approach has made him a leading figure in DFT-based materials modeling and theoretical materials science.

Teaching Experience šŸŽ

Dr. Khan has taught a variety of physics courses at undergraduate and postgraduate levels. He has mentored students in subjects such as Quantum Mechanics, Solid-State Physics, and Electrodynamics. He has also demonstrated his administrative skills in his role as Assistant Manager ORIC and member of the departmental admission committee, helping shape the academic landscape at institutions like Kohat University of Science and Technology and The University of Haripur. His teaching philosophy emphasizes the importance of research-driven education, encouraging students to engage with cutting-edge topics in material science and computational physics.

Awards and Honors šŸ…

Dr. Khan has been recognized for his academic achievements with prestigious scholarships and fellowships, including:

  • Chinese Government Scholarship for his Ph.D. studies.

  • Brain Korea 21 (BK21) Fellowship by the Korean Government.

  • Pioneer Research Center Program through the National Research Foundation of Korea.

These awards underscore his commitment to academic excellence and his ability to secure competitive funding for his research endeavors.

Legacy and Future Contributions 🌟

Dr. Khan’s legacy is built on a solid foundation of innovative research, interdisciplinary collaborations, and a commitment to teaching. His future contributions are poised to make an impact not only in materials science but also in the energy sector, with further exploration into battery technologies, spintronics, and 2D materials. His ongoing work on defect-engineered materials and multiferroic hetero-structures is expected to push the boundaries of materials science in the coming years.

Publications Top Notes

“Computational insights into optoelectronic and magnetic properties of V(III)-doped GaN”

  • Authors: Muhammad Sheraz Khan, Muhammad Ikram, Li-Jie Shi, Bingsuo Zou, Hamid Ullah, Muhammad Yar Khan
    Journal: Journal of Solid-State Chemistry
    Year: 2021

“A highly selective nickel-aluminum layered double hydroxide nanostructures based electrochemical sensor for detection of pentachlorophenol”

  • Authors: Khan, Mir Mehran, Huma Shaikh, Abdullah Al Souwaileh, Muhammad Yar Khan, Madeeha Batool, Saima Q. Memon, and Amber R. Solangi
    Journal: Arabian Journal of Chemistry
    Year: 2024

“Exploring the structural stability of 1T-PdO2 and the Interface Properties of 1T-PdO2/Graphene Heterojunction”

  • Authors: Muhammad Yar Khan, Arzoo Hassan, Xiao-Qing Kelvin Tian, Abdus Samad
    Journal: ACS OMEGA
    Year: 2024

“Experimental Investigation of the Structural, Electrical, and Magnetic Properties of AgNbO3 Silver Nanobytes”

  • Authors: Junaid Khan, Shah Khalid, Pagunda3, Farhan Ahmad, Abdul Jabbar5, Rabah Khenata, Muhammad Yar Khan, and Heba G. Mohamed
    Journal: Journal of Materials Science

“Fabrication of nanofiltration membrane with enhanced water permeability and dyes removal efficiency using tetramethyl thiourea-doped reduced graphene oxide”

  • Authors: Sehrish Qazi, Huma Shaikh, Amber R. Solangi, Madeeha Batool, Muhammad Yar Khan, Nawal D. Alqarni, Sarah Alharthi, and Nora Hamad Al-Shaalan
    Journal: Journal of Materials Science

Radomira Lozeva | Computational Methods | Best Researcher Award-3369

Dr.Radomira Lozeva| Computational Methods | Best Researcher Award

Dr Radomira Lozeva CNRS

Professional Profiles

Publications

Conclusion

Given her extensive research experience, significant contributions to nuclear physics, leadership in experiments, successful mentorship, and active engagement in the scientific community, Radomira Lozeva is highly suitable for both the Research for Community Impact Award and the Best Research Award. Her innovative work and dedication to advancing the field make her a strong contender for these prestigious recognitions.