semvec/pypi-packages huggingface dataset:
camd 2022.8.24
camd is software designed to support autonomous materials research and sequential learning
License: Apache
Keywords: materials,battery,chemistry,science,density functional theory,energy,AI,artificial intelligence,sequential learning,active learning


camd is software designed to support Computational Autonomy for Materials Discovery
based on ongoing work led by the
[Toyota Research Institute](http://www.tri.global/accelerated-materials-design-and-discovery/).

camd enables the construction of sequential learning pipelines using a set of
abstractions that include
* Agents - decision making entities which select experiments to run from pre-determined
    candidate sets
* Experiments - experimental procedures which augment candidate data in a way that
    facilitates further experiment selection
* Analyzers - Post-processing procedures which frame experimental results in the context
    of candidate or seed datasets

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.