Papers
1
Total Citations
4
H-Index
1
About
Dr. Junxiong Guo is a rising leader in the field of neuromorphic computing and advanced optoelectronic materials. His research focuses on harnessing defect engineering in two-dimensional materials—particularly tellurene—to create high-performance artificial synapses that mimic biological neural functions. In his highly cited 2024 work, Dr. Guo introduced a novel optoelectronic synapse that overcomes longstanding challenges in achieving selective optoelectronic responses and tunable synaptic weights. By precisely controlling defects in tellurene, his team demonstrated a pathway toward more efficient, light-responsive neuromorphic systems that could revolutionize energy-efficient computing and machine learning hardware. Though early in his career, Dr. Guo’s contributions are already garnering attention, with his flagship paper accumulating 4 citations in its first year—a strong signal of its impact in a competitive field. His work bridges materials science and artificial intelligence, offering a scalable approach to building next-generation computing architectures. Dr. Guo’s innovative use of defect engineering positions him at the forefront of efforts to realize brain-inspired, low-power electronic systems.
Research Focus
Key Achievements
Top Papers
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