Lily A. Robertson

About

Lily A. Robertson is a rising leader in the accelerated discovery of energy storage materials, with a research focus that bridges high-throughput experimentation, machine learning, and organic electrolyte design. Her most cited work introduces an integrated high-throughput robotic platform coupled with active learning to rapidly identify optimal electrolyte formulations for redox flow batteries—a breakthrough that directly addresses the critical data scarcity in solubility prediction. This 2024 paper has already garnered 64 citations, signaling its immediate impact on the field. In her subsequent 2025 study, Robertson systematically investigates the chemical stability of charged organic species, illuminating key design principles and fundamental limits for extending the lifetimes of charge carriers in all-organic redox flow batteries. Her work is notable for combining automated experimentation with data-driven discovery, effectively transforming how researchers approach electrolyte optimization. Robertson’s contributions are particularly significant for students and researchers seeking to understand how robotics and machine learning can accelerate the development of next-generation battery technologies, making her a pivotal figure in the future of sustainable energy storage.

Research Focus

Key Achievements

Top Papers

1. 1
   An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations

   64 citations · 2024
2. 2
   High-Throughput Discovery Illuminates Design Principles and Limits for Long-Lived Charged Species in Organic Electrolytes

   2 citations · 2025

Key Collaborators

Contact & Links