Karin Ezbiansky

General Electric (United States)

Papers

2

Total Citations

86

H-Index

2

About

Karin Ezbiansky is a pioneer in applying combinatorial chemistry to materials science, specifically for high-performance automotive coatings. Her research centers on accelerating the discovery and development of new coating materials by replacing traditional, labor-intensive methods with high-throughput (HT) experimental workflows. Ezbiansky’s major contributions include the design and validation of combinatorial libraries coupled with rapid performance testing, as demonstrated in her highly cited 2003 work on HT adhesion evaluation, which has garnered 60 citations. She further advanced this approach in her 2005 study on HT weathering evaluation (26 citations), showing how combinatorial leads can be effectively scaled up for real-world use. Her work has enabled a tenfold acceleration in the discovery of durable, weather-resistant coatings, significantly impacting the automotive industry by reducing development time and cost. Ezbiansky’s achievements highlight her role in bridging the gap between combinatorial chemistry and practical materials engineering, establishing a powerful framework for high-throughput materials discovery that continues to influence researchers in coatings and surface science.

Research Focus

Key Achievements

2
H-Index
2
Papers
86
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Development of Combinatorial Chemistry Methods for Coatings:  High-Throughput Adhesion Evaluation and Scale-Up of Combinatorial Leads
60 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: General Electric (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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