549 citations · 2.2k across the 23 of their papers we have counts for
5 papers · 1 filter
aflow++: a C++ framework for autonomous materials design
C. Oses, M. Esters, D. Hicks +17
The realization of novel technological opportunities given by computational and autonomous materials design requires efficient and effective frameworks. For more than two decades,…
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…
Reproducible Sorbent Materials Foundry for Carbon Capture at Scale
Austin McDannald, Howie Joress, Brian DeCost +9
We envision an autonomous sorbent materials foundry (SMF) for rapidly evaluating materials for direct air capture of carbon dioxide (CO2), specifically targeting novel metal organi…
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…
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…