Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions. - Hongchen Wang; Kangming Li; Scott Ramsay; Yao Fehlis; Edward Kim; Jason Hattrick-Simpers (CoRR, 2024)

Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs. - Yao Fehlis; Paul Mandel; Charles Crain; Betty Liu; David Fuller (CoRR, 2025)

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents. - Yao Fehlis (CoRR, 2025)

Accelerating Drug Discovery Through Agentic AI: A Multi-Agent Approach to Laboratory Automation in the DMTA Cycle. - Yao Fehlis; Charles Crain; Aidan Jensen; Michael Watson; James Juhasz; Paul Mandel; Betty Liu; Shawn Mahon; Daren Wilson; Nick Lynch-Jonely; Ben Leedom; David Fuller (CoRR, 2025)

Exploring the Frontiers of kNN Noisy Feature Detection and Recovery for Self-Driving Labs. - Qiuyu Shi; Kangming Li; Yao Fehlis; Daniel Persaud; Robert Black; Jason Hattrick-Simpers (CoRR, 2025)

Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation. - Yao Fehlis; Charles Crain; Aidan Jensen; Michael Watson; James Juhasz; Paul Mandel; Betty Liu; Shawn Mahon; Daren Wilson; Nick Lynch-Jonely; Ben Leedom; David Fuller (CoRR, 2025)