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Band Gap - Single - Deep Learning

Machine Learning Home

Use this model created via deep learning for fast and accurate predictions of band gap using a single attribute.

Load example values into the form.

Try it Yourself

Enter the corresponding values to try the approximation for yourself.

Specify the full stoichiometry
 

** Use of this web page reqiures correct Citing and attribution in any or all work and/or papers produced from results generated by this service.

API

You can access the single-attribute band gap predictor here:

URL format: /api/v{Version}/MachineLearning/BandGap/Single

POST

{
    "stoichiometry": "Ca2Cu2Ge4O12"
}

JSON - response

{
    "bandGap": 1.2049858165280045952682033686,
    "stoichiometry": "Ca2Cu2Ge4O12"
}

XML - response

<BandGapSingleModel xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
    <BandGap>1.2049858165280045952682033686</BandGap>
    <Stoichiometry>Ca2Cu2Ge4O12</Stoichiometry>
</BandGapSingleModel>

 

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