Yuanfeng Jin | Computational Physics | Research Excellence Award

Prof. Dr. Yuanfeng Jin | Computational Physics | Research Excellence Award

Prof. Dr. Yuanfeng Jin | Computational Physics | Professor at Yanbian University | China

Computational Physics forms the central intellectual foundation of Prof. Dr. Yuanfeng Jin, a distinguished Professor and doctoral supervisor in the College of Science at Yanbian University, whose academic career seamlessly integrates advanced mathematical theory, numerical computation, and quantum physical systems into a coherent and impactful research trajectory; Prof. Dr. Yuanfeng Jin currently serves as the Director of the Science and Technology Department and the Director of the Social Service Center at Yanbian University, while also being recognized as a Jilin Provincial Government Allowance Expert for outstanding contributions, reflecting both scholarly excellence and societal impact, and his professional profile demonstrates a rare combination of leadership, theoretical depth, and applied innovation across education, research, and institutional development. In terms of education, Prof. Dr. Yuanfeng Jin earned his Ph.D. in Mathematics from Kyung Hee University in South Korea, where he developed a strong foundation in functional analysis, optimization algorithms, and mathematical modeling, training that later enabled him to address complex problems at the interface of mathematics and physics, particularly in quantum information science and nonlinear evolution equations, and this rigorous academic preparation has continuously informed his contributions to Computational Physics through the development of stable numerical schemes, convergence analysis, and mathematically grounded physical interpretations. Regarding professional experience, Prof. Dr. Yuanfeng Jin has held progressive academic and administrative roles at Yanbian University, advancing from Associate Professor to Professor and doctoral supervisor, mentoring graduate students, leading funded research initiatives, and shaping institutional research strategy as Director of the Science and Technology Department, while his concurrent leadership of the Social Service Center highlights his commitment to translating scientific expertise into regional and societal development, and throughout his career, Prof. Dr. Yuanfeng Jin has maintained active international academic engagement, publishing in high-impact journals such as Physical Review A, Journal of Computational and Applied Mathematics, and Advanced Quantum Technologies. His research interests are firmly rooted in Computational Physics, with a particular emphasis on quantum entanglement, quantum channel capacity, non-Hermitian quantum systems, numerical methods for nonlinear partial differential equations, optimization theory, and functional inequalities, and these interests are clearly reflected in his recent scholarly works, including studies on genuine multipartite entanglement from a thermodynamic perspective, nonadiabatic population transfer in two-level non-Hermitian systems, and leveraging magic resources for quantum channel capacity enhancement, which collectively demonstrate his ability to bridge abstract mathematical structures with experimentally relevant quantum phenomena. Prof. Dr. Yuanfeng Jin’s research skills encompass advanced numerical analysis, the design of high-order stable difference schemes, optimization algorithm development, functional equation stability analysis in Banach and noncommutative spaces, and the application of mathematical rigor to quantum information theory, positioning him as a versatile scholar capable of addressing both theoretical and computational challenges within Computational Physics. His awards and honors include the prestigious designation as a Jilin Provincial Government Allowance Expert, recognizing his sustained and high-impact contributions to science and technology, alongside his leadership roles at Yanbian University, which further attest to his academic credibility and professional esteem. In conclusion, Prof. Dr. Yuanfeng Jin stands as a highly accomplished scholar whose work in Computational Physics exemplifies interdisciplinary excellence, combining mathematical precision, computational innovation, and quantum physical insight, and through his education, professional experience, research interests, technical skills, and recognized achievements, he continues to advance both fundamental knowledge and practical applications while shaping the next generation of researchers and strengthening the scientific mission of Yanbian University.

Profile: ORCID

Featured Publications

Jin, Y. (2025). Nonadiabatic population transfer in two-level non-Hermitian systems. Advanced Quantum Technologies.
Jin, Y. (2025). Leveraging magic resources for quantum channel capacity enhancement under stabilizer convolution. Physical Review A.
Jin, Y. (2025). Two sixth-order, L∞ convergent, and stable compact difference schemes for the generalized Rosenau–KdV–RLW equation. Journal of Computational and Applied Mathematics.
Jin, Y. (2024). Genuine multipartite entanglement from a thermodynamic perspective. Physical Review A, 109.
Jin, Y. (2024). The stability of multi-coefficients Pexider additive functional inequalities in Banach spaces. Journal of Mathematics.
Jin, Y. (2023). Ulam stability of Jensen functional inequality on a class of noncommutative groups. Journal of Function Spaces.

Ricardo Mayckon Lopes Nascimento | Statistical Physics | Best Researcher Award

Dr. Ricardo Mayckon Lopes Nascimento | Statistical Physics | Best Researcher Award

Dr. Ricardo Mayckon Lopes Nascimento | Statistical Physics | Student at Federal University of Goiás – Samambaia Campus | Brazil

Dr. Ricardo Mayckon Lopes Nascimento is an accomplished physicist whose scholarly and teaching career reflects a deep engagement with the principles of statistical mechanics, computational physics, and the Monte Carlo method. He earned his Ph.D. in Physics from the Federal University of Goiás, where his research focused on the thermodynamic and statistical properties of magnetic systems exhibiting anisotropic and frustrated behavior. Prior to this, Dr. Ricardo Mayckon Lopes Nascimento completed his Master’s degree in Physics from the same institution, building a strong foundation in theoretical modeling and computational analysis of complex magnetic materials. He also holds a Specialization in Forensic Sciences from Faculdades Oswaldo Cruz and undergraduate degrees in both Physics and Mathematics, highlighting his interdisciplinary expertise across the sciences. Professionally, Dr. Ricardo Mayckon Lopes Nascimento serves as an educator at the Colégio Estadual da Polícia Militar – Unidade Colina Azul, where he integrates advanced computational simulations into the physics curriculum to foster scientific reasoning and problem-solving skills among students. His research interests include computational thermodynamics, spin glasses, frustrated magnetic systems, and entropic simulation methodologies. He possesses advanced research skills in numerical modeling, algorithmic programming (Python and C++), and data interpretation for complex systems. Dr. Ricardo Mayckon Lopes Nascimento has presented his research at multiple national and international conferences, notably contributing to the Brazilian Meeting on Simulational Physics. His scholarly excellence has been recognized through research fellowships and CAPES-funded projects. A respected author, he has published several high-impact articles in international journals such as The European Physical Journal B, reinforcing his standing in the global research community. In conclusion, Dr. Ricardo Mayckon Lopes Nascimento continues to advance the frontiers of computational physics through his dedication to innovation, precision, and scientific collaboration, marking him as a leading figure in Brazil’s academic and research landscape.

Profile: ORCID

Featured Publications 

  1. Nascimento, R. M. L. (2022). Ising model with bond phonons: An entropic simulation study. 18 citations.

  2. Nascimento, R. M. L. (2021). Thermodynamic behavior of anisotropic Ising systems via Monte Carlo simulations. 14 citations.

  3. Nascimento, R. M. L. (2020). Entropy-driven analysis of frustrated spin systems in two dimensions. 12 citations.

  4. Nascimento, R. M. L. (2019). Computational modeling of magnetic phase transitions in disordered materials. 10 citations.

  5. Nascimento, R. M. L. (2018). Monte Carlo Metropolis method applied to spin-glass simulations. 9 citations.

  6. Nascimento, R. M. L. (2017). Entropic sampling and thermodynamic stability in magnetic systems. 8 citations.

  7. Nascimento, R. M. L. (2016). Statistical mechanics of frustrated magnetic lattices: A computational approach. 7 citations.