camd is software designed to support autonomous materials research and sequential learning
camd is software designed to support Computational Autonomy for Materials Discovery based on ongoing work led by the Toyota Research Institute.
camd enables the construction of sequential learning pipelines using a set of abstractions that include
In addition to these abstractions, camd provides a loop construct which executes the sequence of hypothesize-experiment-analyze by the Agent, Experiment, and Analyzer, respectively. Simulations of agent performance can also be conducted using after the fact sampling of known data.
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camd is software designed to support autonomous materials research and sequential learning
We found that camd demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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