Multi-Agent Active Learning System Powers Autonomous Materials Discovery

Johns Hopkins graduate Yufei (Fay) Long architected a multi-agent active-learning pipeline for materials discovery connected to autonomous labs, while FSU undergraduate Evan Sponseller built a system that predicts alloy properties and selects the next experiments.

2026-09-02 ~ 2026-09-02 · 2 related posts

• Undergrad Builds Active Learning System That Predicts Alloy Properties and Picks Next Experiments — mdredze · 2026-09-02
• Grad Student Designs Multi-Agent Active-Learning System for Autonomous Materials Lab — mdredze · 2026-09-02