Krish N. Jayarapu

Johns Hopkins University

Papers

1

Total Citations

38

H-Index

1

About

Krish N. Jayarapu is a rising leader at the intersection of electrochemistry and data-driven discovery, pioneering the integration of automation and artificial intelligence to accelerate innovation in renewable energy technologies. His most-cited work introduces the AHTech platform—an automated high-throughput electrochemical characterization system that dramatically reduces the time and cost of experimental screening. This breakthrough enables researchers to rapidly generate large, reproducible datasets, laying the groundwork for machine learning models to predict and optimize electrochemical performance. With 38 citations and growing, this work is already shaping how laboratories approach materials discovery for batteries, fuel cells, and electrolyzers. Jayarapu’s contributions stand out for their emphasis on open, cost-effective tools that democratize high-throughput experimentation. By bridging experimental electrochemistry with computational analysis, he is helping to establish a new paradigm where AI-driven insights guide the design of next-generation energy systems. His research is particularly valuable for students and researchers seeking to adopt automated workflows, offering a practical pathway to accelerate the transition to 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 · 10 days ago