Eunsuk Kim

Brown University

Papers

2

Total Citations

83

H-Index

2

About

Eunsuk Kim is pioneering the intersection of synthetic chemistry and unconventional computing, with a research focus on multicomponent reactions, molecular information storage, and chemical-based digital logic. In their landmark 2020 work, "Multicomponent molecular memory" (72 citations), Kim demonstrated how the four-component Ugi reaction can be leveraged to create scalable molecular libraries, a breakthrough that has accelerated adoption in pharmaceutical discovery by enabling vast chemical diversity from minimal inputs. Building on this foundation, Kim’s 2023 study, "Digital circuits and neural networks based on acid-base chemistry implemented by robotic fluid handling" (11 citations), introduced a paradigm-shifting approach to computing. By exploiting the natural complementarity of acids and bases—mapping them to binary "0" and "1"—Kim designed chemical circuits and neural networks executed through automated fluid handling, eliminating the need for sophisticated electronics. This work not only showcases Kim’s ingenuity in repurposing fundamental chemical principles for information processing but also opens new avenues for low-cost, accessible computing systems. With a growing citation impact and a portfolio that bridges chemistry, robotics, and computer science, Eunsuk Kim is a rising leader in molecular-scale information technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
83
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Multicomponent molecular memory
72 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Brown University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago