DropMicroFluidAgents (DMFAs): autonomous droplet microfluidic research framework through large language model agents
DropMicroFluidAgents (DMFAs) is a novel multi-agent-based framework designed to perform diverse tasks and make decisions autonomously, guided by its programming and the data it analyses.
Authors
- Ngoc‐Duy Dinh (ORCID: https://orcid.org/0000-0002-4964-7038)
- Raymond Kai‐Yu Tong (ORCID: https://orcid.org/0000-0003-4375-653X)
Institutions
- Chinese University of Hong Kong (HK)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00306g
- Citations
- 2
- Primary Topic
- Innovative Microfluidic and Catalytic Techniques Innovation
- Type
- article
- Field-Weighted Citation Impact
- 1.35