Pengfei Guo | Optoelecronics and Nanophotonics | Best Research Award

Published on by Electrical Engineering

Prof. Dr. Pengfei Guo | Optoelecronics and Nanophotonics | Best Research Award

Prof. | Taiyuan University of Technology | China

Prof. Dr. Pengfei Guo is a Professor in the College of Physics and Optoelectronics at Taiyuan University of Technology, specializing in low-dimensional semiconductor materials, optoelectronics, and nanophotonics. He holds a bachelor’s degree in physics and electronics, a master’s degree in physics and electronics, and a doctoral degree in materials science and engineering. His professional experience includes academic appointments and postdoctoral research at leading institutions, participation in competitive scholar programs, supervision of research teams, and leadership in advanced nanomaterials projects. His research focuses on the controlled growth of one- and two-dimensional semiconductor nanostructures, novel optical and electronic properties, nanophotonic devices, and energy-related technologies, with extensive publications in high-impact international journals. Prof. Guo has received multiple prestigious awards and honors, serves in editorial roles for scholarly journals, and is an active member of the international research community, with 2,480 citations, an h-index of 25, and an i10-index of 52.

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Featured Publications

Growth of Alloy MoS2xSe2(1–x) Nanosheets with Fully Tunable Chemical Compositions and Optical Properties
H. Li, X. Duan, X. Wu, X. Zhuang, H. Zhou, Q. Zhang, X. Zhu, W. Hu, P. Ren, et al.
Journal of the American Chemical Society, 136(10), 3756–3759 · Citations: 582

Room-Temperature Dual-Wavelength Lasing from Single-Nanoribbon Lateral Heterostructures
J. Xu, L. Ma, P. Guo, X. Zhuang, X. Zhu, W. Hu, X. Duan, A. Pan
Journal of the American Chemical Society, 134(30), 12394–12397 · Citations: 127

On-Nanowire Axial Heterojunction Design for High-Performance Photodetectors
P. Guo, J. Xu, K. Gong, X. Shen, Y. Lu, Y. Qiu, J. Xu, Z. Zou, C. Wang, H. Yan, et al.
ACS Nano, 10(9), 8474–8481 · Citations: 102

Wavelength-Converted Selective Waveguiding Based on Composition-Graded Semiconductor Nanowires
J. Xu, X. Zhuang, P. Guo, Q. Zhang, W. Huang, Q. Wan, W. Hu, X. Wang, X. Zhu, et al.
Nano Letters, 12(9), 5003–5007 · Citations: 94

Semiconductor Alloy Nanoribbon Lateral Heterostructures for High-Performance Photodetectors
P. Guo, W. Hu, Q. Zhang, X. Zhuang, X. Zhu, H. Zhou, Z. Shan, J. Xu, A. Pan
Advanced Materials, 26(18), 2844–2849 · Citations: 86

Mr. Jufeng Han | Materials Informatics | Best Researcher Award

Published on by Electrical Engineering

Mr. Jufeng Han | Materials Informatics | Best Researcher Award

Master | Institute of Semiconductors | China

Dr. Jufeng Han, currently pursuing a Master’s degree in Artificial Intelligence for Science at the Institute of Semiconductors, Chinese Academy of Sciences, is an emerging researcher specializing in materials informatics and semiconductor and optoelectronic materials. His academic foundation combines advanced studies in artificial intelligence with applications in materials science, focusing on the integration of data-driven modeling with physical principles. Professionally, he has contributed to innovative research projects, most notably the development of a symbolic–neural hybrid modeling framework for perovskite bandgap prediction—an approach that enhances accuracy and interpretability in photovoltaic material screening. His work has been recognized with a Best Paper Candidate nomination and publication acceptance in Materials Today Energy. Beyond research, he collaborates within interdisciplinary teams at the Institute of Semiconductors, demonstrating leadership in bridging AI methodologies with materials discovery. His research contributions have strengthened the role of AI in accelerating semiconductor innovation, particularly in energy-efficient and sustainable technologies. He is a member of the Association for the Advancement of Artificial Intelligence (AAAI) and maintains a strong academic presence through his Google Scholar profile. Jufeng Han’s combination of technical expertise, academic excellence, and forward-looking research vision positions him as a promising scholar in AI-driven materials science and a deserving nominee for the Best Researcher Award.

Profile: Scopus

Featured Publications

Han, Jufeng*, Bandgap prediction for perovskite materials based on symbolic–neural hybrid modeling. Materials Today Energy, Accepted.

Han, Jufeng*, Symbolic–neural hybrid framework for enhanced interpretability and accuracy in perovskite bandgap prediction. Institute of Semiconductors, Chinese Academy of Sciences, In production.

Han, Jufeng, AI-driven modeling approaches for semiconductor and optoelectronic material discovery. AI for Science Research Series, Under review.