Ryan Lewis

Argonne National Laboratory

Papers

2

Total Citations

5

H-Index

2

About

Ryan Lewis is a rising leader in the development of autonomous experimentation and high-throughput materials discovery. His research focuses on two key frontiers: designing and benchmarking Self-Driving Labs (SDLs) that integrate automation with AI-driven decision-making, and engineering stable charged species for next-generation energy storage. In his highly cited 2023 work on SDLs, Lewis established rigorous benchmarks for autonomous systems using a color-matching task, providing a foundational framework for evaluating the efficiency and intelligence of self-driving scientific platforms. More recently, his 2025 study on organic electrolytes for redox flow batteries has made a significant impact by systematically illuminating the design principles and fundamental limits governing the lifetimes of charged molecules. By combining high-throughput experimentation with molecular engineering, Lewis’s work directly addresses the critical challenge of parasitic reactions that hinder long-duration energy storage. Though early in his career, his contributions are already shaping how researchers approach both autonomous discovery and the rational design of durable electrochemical materials, marking him as a promising innovator in the intersection of automation and sustainable chemistry.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Exploring Benchmarks for Self-Driving Labs using Color Matching
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Argonne National Laboratory

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago