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Periodic descriptors

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May 25, 2023 8:48 AM
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Periodic descriptors: Generate of descriptors that can be used in a machine learning model to predict bulk properties such as ionic conductivity, band gap, bulk modulus, formation energy etc. The descriptors are defined in the supplementary material to the paper Sendek, A. D.; Yang, Q.; Cubuk, E. D.; Duerloo, K-A. N.; Cui, Y.; Reed, E. J, "Holistic computational structure screening of more than 12 000 candidates for solid lithium-ion conductor materials", Energy Environ. Sci., 2016, DOI: 10.1039/c6ee02697d.

Component details

Input ports
  1. Type: Table
    Input data table containing molecules in Maestro format
    Maestro format
Output ports
  1. Type: Table
    Periodic descriptors
    Extracted properties
  2. Type: Table
    Port 2

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Created with KNIME Analytics Platform version 4.1.1 Note: Not all extensions may be displayed.
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    Schrödinger Extensions for KNIMETrusted extension

    Schrödinger

    Version 20.2.40

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