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Found 3 papers, 1 papers with code
Benchmarking Active Learning Strategies for Materials Optimization and Discovery
In these systems, machine learning controls experiment design, execution, and analysis in a closed loop.
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation
We present the next generation in science education, a kit for building a low-cost autonomous scientist.
CRYSPNet: Crystal Structure Predictions via Neural Network
Structure is the most basic and important property of crystalline solids; it determines directly or indirectly most materials characteristics.
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