Jasmine Vy Tran

Johns Hopkins University

Papers

1

Total Citations

38

H-Index

1

About

Dr. Jasmine Vy Tran is a pioneering researcher at the intersection of electrochemistry, automation, and data science, driving the future of renewable energy discovery. Her most impactful work introduces the AHTech platform—an automated high-throughput electrochemical characterization system that seamlessly integrates artificial intelligence with experimental workflows. This breakthrough, detailed in her highly cited 2025 paper (38 citations to date), addresses a critical bottleneck in energy sciences by enabling rapid, cost-effective screening of electrochemical materials and reactions. By replacing slow, manual experimentation with data-driven automation, Dr. Tran’s contributions are accelerating the development of next-generation technologies for batteries, fuel cells, and electrolyzers. Her work exemplifies how combining robotics with machine learning can transform fundamental research into practical innovation. As a leader in this emerging field, she is not only advancing renewable energy but also setting a new standard for high-efficiency, reproducible scientific discovery. Dr. Tran’s platform has already inspired collaborative efforts across academia and industry, positioning her as a key figure in the quest for sustainable energy solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
38
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
A high-throughput experimentation platform for data-driven discovery in electrochemistry
38 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago