Abdiel De Jesus Espinosa Champo | Computational Nanotechnology | Best Researcher Award

Mr. Abdiel De Jesus Espinosa Champo | Computational Nanotechnology | Best Researcher Award

PhD Candidate | National Autonomous University of Mexico | Mexico

Mr. Abdiel De Jesús Espinosa Champo is a Ph.D. candidate in Physics at the National Autonomous University of Mexico (UNAM), conducting advanced research on the modulation of electronic, optical, and topological properties in low-dimensional systems. His work bridges theoretical condensed matter physics and quantum materials science, with emphasis on flat-band phenomena, graphene systems, topological phases, and quantum geometry. He has authored 10 peer-reviewed journal publications (8 as first author) in internationally reputed journals including Physical Review B, Journal of Physics: Condensed Matter, Physica E, and Journal of Vacuum Science & Technology B. His publications explore frontier topics such as flat-band electronic states, Berry and Aharonov–Anandan phases in 2D materials, magnetic susceptibility in curved graphene, and metal–insulator transitions in borophene. His findings contribute significantly to the theoretical understanding of electronic transport and topological effects in next-generation quantum materials. Mr. Abdiel De Jesús Espinosa Champo’s research achievements include a preprint on topological quantum geometry transitions and ongoing collaborative work at IMDEA Nanoscience in Madrid. He is recognized for theoretical innovation in explaining magnetic, geometric, and optical anomalies in 2D materials. With 58 citations, 6 indexed documents, and an h-index of 3 on Scopus, his scholarly influence continues to grow within the global physics community. His research contributions have been supported by CONAHCyT Fellowship and presented in international workshops at the Max Planck Institute in Germany. His research areas encompass quantum geometry, flat-band systems, topological materials, electronic transport theory, and optical responses in nanostructures. Through his rigorous R&D efforts, Abdiel Espinosa Champo has established himself as an emerging physicist contributing to the theoretical foundations of low-dimensional quantum systems.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

  1. Champo, A. E., & Naumis, G. G. (2019). Metal–insulator transition in 8-Pmmn borophene under normal incidence of electromagnetic radiation. Physical Review B, 99(3), 035415. https://doi.org/10.1103/PhysRevB.99.035415

  2. Naumis, G. G., Navarro-Labastida, L. A., Aguilar-Méndez, E., & Espinosa-Champo, A. (2021). Reduction of the twisted bilayer graphene chiral Hamiltonian into a 2×2 matrix operator and physical origin of flat bands at magic angles. Physical Review B, 103(24), 245418. https://doi.org/10.1103/PhysRevB.103.245418

  3. Navarro-Labastida, L. A., Espinosa-Champo, A., Aguilar-Méndez, E., & Naumis, G. G. (2022). Why the first magic angle is different from others in twisted graphene bilayers: Interlayer currents, kinetic and confinement energy, and wave-function localization. Physical Review B, 105(11), 115434. https://doi.org/10.1103/PhysRevB.105.115434

  4. Champo, A. E., Roman-Taboada, P., & Naumis, G. G. (2018). Landauer-Büttiker conductivity for spatially dependent uniaxial strained armchair-terminated graphene nanoribbons. Physica E: Low-Dimensional Systems and Nanostructures, 102, 123–131. https://doi.org/10.1016/j.physe.2018.05.001

  5. Espinosa-Champo, A. de J., & Naumis, G. G. (2024). Flat bands without twists: Periodic holey graphene. Journal of Physics: Condensed Matter, 36(27), 275703. https://doi.org/10.1088/1361-648X/ad39be

 

Dr. Gao Yujie | Nanocomputing Awards | Best Researcher Award

Dr. Gao Yujie | Nanocomputing Awards | Best Researcher Award

Dr. Gao Yujie ,Nanjing Tech University,China

Yujie Gao is an undergraduate student pursuing a Bachelor of Engineering (B.Eng.) in Automation at the College of Automation and Electrical Engineering, Nanjing Tech University, China. With a strong academic record, ranking in the top 10% of their class, Yujie has demonstrated excellence in their studies, achieving an average course score of 85.36/100. Currently, Yujie serves as a Teaching Assistant, assisting Assistant Professor Dong Chen with teaching responsibilities. Yujie has also co-authored a publication on an improved spider wasp optimizer for obstacle avoidance path planning in mobile robots, published in Mathematics.

Professional Profile:

Google Scholar

Summary for suitability of Best Researcher award

Yujie Gao, a B.Eng. Automation student at the College of Automation and Electrical Engineering, Nanjing Tech University, has demonstrated exceptional academic performance, innovation, and research capabilities that make him a strong candidate for the Best Researcher Award. His academic record places him in the top 10% of his peers, reflecting his commitment to excellence in his studies.

🎓Education:

Yujie Gao is currently pursuing a Bachelor of Engineering (B.Eng.) in Automation at the College of Automation and Electrical Engineering, Nanjing Tech University, China. Demonstrating consistent academic excellence, Yujie ranks in the top 10% of their class, with an impressive average course score of 85.36/100. The degree program spans from September 2022 to June 2026, during which Yujie continues to excel in their studies.

🏢Work Experience:

From September 2023 to January 2024, Yujie Gao served as a Teaching Assistant at the College of Automation and Electrical Engineering, Nanjing Tech University. In this role, Yujie assisted Assistant Professor Dong Chen with various teaching responsibilities, contributing to the educational experience of fellow students and supporting the academic environment within the department.

🏅Awards:

Yujie Gao was honored with the Academic Excellence Award at Nanjing Tech University for demonstrating outstanding academic performance. This recognition highlights Yujie’s achievement of ranking in the top 10% of their class, underscoring their dedication and excellence in their studies.

Publication Top Notes:

Title: An Improved Spider-Wasp Optimizer for Obstacle Avoidance Path Planning in Mobile Robots