56 citations · 81 across the 10 of their papers we have counts for
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cs.MA2022★ 1 cited
Scalable Multi-Agent Lab Framework for Lab Optimization
A. Gilad Kusne, Austin McDannald
Autonomous materials research systems allow scientists to fail smarter, learn faster, and spend less resources in their studies. As these systems grow in number, capability, and co…
cond-mat.mtrl-sci2022
Benchmarking Active Learning Strategies for Materials Optimization and Discovery
Alex Wang, Haotong Liang, Austin McDannald +2
Autonomous physical science is revolutionizing materials science. In these systems, machine learning controls experiment design, execution, and analysis in a closed loop. Active le…
cond-mat.mtrl-sci2022★ 3 cited
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation
Logan Saar, Haotong Liang, Alex Wang +4
The next generation of physical science involves robot scientists - autonomous physical science systems capable of experimental design, execution, and analysis in a closed loop. Su…