Bayesian experimental design is a tool for guiding experiments founded on the principle of expected information gain. I.e., which experiment design will inform the most about the model can be ...
A reaction that puzzled scientists for 50 years has now been explained by researchers at Ume University. Rapid structural snapshots captured how graphite transforms into graphite oxide during ...
The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as expert ...
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