Fuzhan Rahmanian
Papers
2
Total Citations
47
H-Index
2
About
Fuzhan Rahmanian is a pioneering researcher at the intersection of combinatorial electrochemistry and data science, driving innovation in energy storage systems. Her work focuses on accelerating materials discovery and optimizing lithium-ion battery performance through intelligent, automated experimentation. Rahmanian’s most cited paper, “From materials discovery to system optimization by integrating combinatorial electrochemistry and data science” (2022, 42 citations), introduces a transformative framework that combines high-throughput electrochemical screening with machine learning to rapidly identify and optimize new materials—from electrode compositions to electrolyte formulations. This approach dramatically reduces the time and cost of traditional trial-and-error methods. In her 2024 study, “Apples to apples: shift from mass ratio to additive molecules per electrode area to optimize Li-ion batteries,” she addresses a critical gap in battery research by proposing a standardized metric—additive molecules per electrode area—to more accurately evaluate electrolyte additives. Her work demonstrates how robotic platforms can precisely tailor the synthesis of protective solid electrolyte interphases (SEI) through combinatorial electrolyte formulation, enabling more reliable and efficient battery design. With her interdisciplinary methodology, Rahmanian is shaping the future of data-driven electrochemical engineering.
Research Focus
Key Achievements
Top Papers
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