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20242026
most citedAccelerating Structure-Property Relationship Discovery with Multimodal Machine Learning and Self-Driving Microscopy

1 citations · 1 across the 5 of their papers we have counts for

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cs.LG2026

Beyond Scalar Objectives: Expert-Feedback-Driven Autonomous Experimentation for Scientific Discovery at the Nanoscale

Ralph Bulanadi, Jefferey Baxter, Arpan Biswas +5

Self-driving laboratories or autonomous experimentation are emerging as transformative platforms for accelerating scientific discovery. Bayesian optimization (BO) is among the most…

cs.LG2026

Quality-Controlled Active Learning via Gaussian Processes for Robust Structure-Property Learning in Autonomous Microscopy

Jawad Chowdhury, Ganesh Narasimha, Jan-Chi Yang +4

Autonomous experimental systems are increasingly used in materials research to accelerate scientific discovery, but their performance is often limited by low-quality, noisy data. T…