Zi Hui Jonathan Khoo
Papers
2
Total Citations
41
H-Index
2
About
Zi Hui Jonathan Khoo is a rising force in the field of materials informatics, specializing in the intersection of software engineering, closed-loop optimization, and accelerated materials discovery. His work centers on developing object-oriented frameworks and autonomous workflows that enable the rapid evolution of materials acceleration platforms—a critical need for scaling up high-throughput experimentation. Khoo’s most cited paper (2022, 22 citations) introduces a novel framework that standardizes and streamlines workflow integration across diverse platforms, addressing a key bottleneck in the materials acceleration ecosystem. In a second highly influential study (2023, 19 citations), he demonstrated a closed-loop multi-objective optimization strategy for discovering Cu–Sb–S photo-electrocatalytic materials, showcasing how autonomous systems can efficiently navigate complex compositional spaces to identify promising catalysts for solar-driven water splitting. By combining computational design with experimental validation, Khoo’s contributions are shaping the future of self-driving laboratories and accelerating the development of earth-abundant materials for sustainable energy applications. His work is particularly notable for bridging the gap between software infrastructure and practical materials discovery, making him a key figure in the next generation of materials informatics.
Research Focus
Key Achievements
Top Papers
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