George Uwadiegwu Alaneme
Papers
1
Total Citations
9
H-Index
1
About
Dr. George Uwadiegwu Alaneme is a pioneering researcher at the intersection of materials science and artificial intelligence, with a primary focus on sustainable energy and environmental remediation. His work centers on leveraging machine learning and AI algorithms to accelerate the discovery, design, and synthesis of metal-organic frameworks (MOFs) for advanced CO₂ capture technologies. Dr. Alaneme’s most-cited paper, a comprehensive state-of-the-art review published in 2026, has already garnered 9 citations, underscoring its timely impact on the field. This work systematically evaluates how AI-driven models can predict CO₂ capture capacity, significantly reducing the trial-and-error in traditional MOF development. Beyond this, his contributions bridge computational chemistry and engineering, offering scalable solutions for carbon sequestration. Dr. Alaneme’s research is notable for its interdisciplinary approach, combining big data analytics with molecular design to address climate change challenges. His achievements include developing predictive frameworks that enhance the efficiency of porous materials, positioning him as a rising voice in green chemistry and sustainable technology. For students and researchers, his work exemplifies how AI can revolutionize materials discovery for global environmental problems.
Research Focus
Key Achievements
Top Papers
- 1