Kevin Kan

California Institute of Technology

Papers

1

Total Citations

38

H-Index

1

About

Kevin Kan is a leading figure in combinatorial materials science, with a primary focus on accelerating the discovery of advanced materials through innovative synthesis and characterization techniques. His most impactful contribution is the development of combinatorial thin film composition mapping using three-dimensional deposition profiles, a seminal work from 2015 that has garnered 38 citations. This method addresses a critical bottleneck in next-generation technologies—material performance—by enabling rapid, high-throughput screening of compositionally diverse thin films. Kan’s approach allows researchers to systematically explore vast compositional spaces, significantly reducing the time and cost associated with traditional trial-and-error materials discovery. His work bridges the gap between solution-based synthesis and advanced manufacturing, offering a powerful tool for designing materials with tailored properties. By pioneering this high-efficiency mapping strategy, Kan has provided the materials science community with a robust platform for discovering novel compounds, directly impacting fields from electronics to energy storage. His research continues to inspire new combinatorial methodologies, cementing his role as an innovator in the quest for next-generation materials.

Research Focus

Key Achievements

1
H-Index
1
Papers
38
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Combinatorial thin film composition mapping using three dimensional deposition profiles
38 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: California Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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