Papers

4

Total Citations

95

H-Index

3

About

Bojing Zhang is pioneering the automation of battery research, merging robotics, combinatorial electrochemistry, and data science to accelerate the discovery and optimization of next-generation energy storage systems. Their landmark work, "Robotic cell assembly to accelerate battery research" (2022, 45 citations), introduced the first robotic battery assembly system for academia, achieving superhuman reproducibility and full data lineage tracking—a critical step toward reliable, high-throughput experimentation. Zhang further advanced the field by integrating combinatorial electrochemistry with data science, enabling systematic optimization from materials discovery to device performance (2022, 42 citations). Their recent work (2024) reframes electrolyte additive research by shifting focus from mass ratios to additive molecules per electrode area, using robotic synthesis to tailor the solid electrolyte interphase (SEI) for Li-ion batteries. Additionally, Zhang has contributed high-throughput formation and cycling datasets for sodium-ion batteries (2023), combining batch synthesis, screen printing, and robotic assembly to accelerate Na-ion development. With a growing citation impact and a clear trajectory toward automating battery science, Bojing Zhang is a rising leader in the quest for faster, more reproducible energy storage innovation.

Research Focus

Key Achievements

3
H-Index
4
Papers
95
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Robotic cell assembly to accelerate battery research
45 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Karlsruhe Institute of Technology, Helmholtz-Institute Ulm

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago