Number of the records: 1  

Real Time Predictions of VGF-GaAs Growth Dynamics by LSTM Neural Networks

  1. 1.
    Dropka, N. - Ecklebe, S. - Holeňa, Martin
    Real Time Predictions of VGF-GaAs Growth Dynamics by LSTM Neural Networks.
    Crystals. Roč. 11, č. 2 (2021), č. článku 138. ISSN 2073-4352. E-ISSN 2073-4352
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 2.670, year: 2021
    Method of publishing: Open access
    http://hdl.handle.net/11104/0319303
Number of the records: 1  

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