==Data==
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''See the subpages listed [[Industry#Machine%20Learning%20Application%20Areas|above]] for application-specific datasets.'' ▼
▲''See the subpages listed [[Industry#Machine%20Learning%20Application%20Areas|above]] (e.g., the subpage on [[Accelerated Science|accelerated science]]) for application-specific datasets.''
Most industrial information is proprietary, so it may be useful for researchers to connect directly with factories, to negotiate confidential access to relevant data. ▼
▲Most industrial information is proprietary, so it may be useful for researchers to connect directly with factories, to negotiate confidential access to relevant data.
* '''The Materials Project''': "[C]omputed information on known and predicted materials as well as powerful analysis tools to inspire and design novel materials." Available [https://materialsproject.org/ here].
*'''Inorganic Crystal Structure Database''': "[T]he world's largest database for completely identified inorganic crystal structures." Available [https://icsd.products.fiz-karlsruhe.de/en/ here].
*'''SciFinder''': Chemical and materials science database (paid), available [https://www.cas.org/products/scifinder here].
*'''"Concrete Compressive Strength"''': Dataset of concrete compressive strength available [https://archive.ics.uci.edu/ml/datasets/ here] via the UCI Machine Learning Repository.
*'''Open Catalyst Project:''' Dataset of 1.2 million molecular relaxations with results from over 250 million DFT calculations, aimed towards the discovery of new catalysts for use in renewable energy storage. Available [https://opencatalystproject.org/index.html here].
==Relevant Groups and Organizations==
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