Metadata-Version: 2.1
Name: camd
Version: 2021.6.11.post9
Summary: camd is software designed to support autonomous materials research and sequential learning
Home-page: https://github.com/TRI-AMDD/CAMD
Author: AMDD - Toyota Research Institute
Author-email: murat.aykol@tri.global
Maintainer: Murat Aykol, Joseph Montoya
Maintainer-email: murat.aykol@tri.global
License: Apache
Description: 
        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.
        
Keywords: materials,battery,chemistry,science,density functional theory,energy,AI,artificial intelligence,sequential learning,active learning
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: proto_dft
Provides-Extra: tests
