Fernando Delgado‐Licona
Papers
4
Total Citations
106
H-Index
4
About
Fernando Delgado-Licona is an emerging research leader at the forefront of autonomous experimentation and intelligent laboratory systems. His work centers on self-driving laboratories (SDLs), a rapidly evolving field that integrates robotics, artificial intelligence, and automation to radically accelerate scientific discovery in materials science, chemistry, and sustainability applications. Delgado-Licona's most influential contribution, a 2022 technological roadmap for self-driving labs (55 citations), helped define the conceptual and practical trajectory of the field by addressing how disruptive digital and physical technologies can transform conventional research workflows. His 2024 work on engineering sustainable futures through AI-guided automation (32 citations) further establishes his commitment to applying SDL frameworks toward pressing global challenges including climate change and resource depletion. More recently, his team introduced Rainbow, a pioneering multi-robot SDL platform for autonomous synthesis and optimization of metal halide perovskite nanocrystals, demonstrating real-world implementation of these principles. His 2025 paper on engineering principles for SDLs signals a maturing, systems-level perspective on the field. With over 100 cumulative citations and a growing portfolio, Delgado-Licona is positioning himself as a defining voice in the next generation of AI-driven scientific discovery.
Research Focus
Key Achievements
Top Papers
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- 3Engineering principles for self-driving laboratories10 citations · 2025
- 4