Papers
7
Total Citations
98
H-Index
6
About
Jayce Jian Wei Cheng is a leading researcher at the intersection of autonomous experimentation, materials science, and robotic process optimization. His work centers on developing self-driving laboratories that accelerate the discovery and characterization of advanced materials, with a particular focus on photo-electrocatalytic materials, structural superalloys, and functional coatings. Cheng’s major contributions include pioneering closed-loop multi-objective optimization frameworks for discovering Cu–Sb–S photo-electrocatalysts (19 citations), and creating the pHbot—a self-driven robot that uses physics-informed machine learning to automate pH adjustment of viscous formulations (7+ citations). He has also advanced robotic handling of viscous liquids, optimizing pipetting parameters to enable accurate transfers (9 citations), and developed an object-oriented software framework for workflow evolution across materials acceleration platforms (22 citations). His automated screening of graphene suspensions for optimal electrical conductivity (14 citations) demonstrated a dramatic reduction in human workflow time to just 17%. With over 100 total citations, Cheng’s work is shaping the future of autonomous materials discovery and robotic laboratory automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7