Artificial intelligence directed zeolite synthesis

    公开(公告)号:US12112836B2

    公开(公告)日:2024-10-08

    申请号:US17346463

    申请日:2021-06-14

    Abstract: A computer implemented method for designing chemical reactions for catalyst construction is described. The method includes extracting historical data including historic chemical reaction data and historic catalyst construction yield data and converting the historic chemical reaction data into graph models to represent molecular structure data. The method also includes incorporating the graph models into a chemical reaction algorithm and training a vectorized cognitive deep learning network of the chemical reaction algorithm by using the graph models and a property of the historic chemical reaction data to produce a catalyst chemical reaction model. Further, the method includes validating the catalyst chemical reaction model by inputting the historic chemical reaction data and comparing a generated property corresponding to the catalyst chemical reaction model to the property of the historic chemical reaction data. Lastly, the method includes updating the training of the catalyst chemical reaction model.

    Molecular sieve SSZ-114, its synthesis and use

    公开(公告)号:US10913659B1

    公开(公告)日:2021-02-09

    申请号:US16908804

    申请日:2020-06-23

    Abstract: A novel synthetic crystalline aluminogermanosilicate molecular sieve material, designated SSZ-114, is provided. SSZ-114 can be synthesized by treating an aluminogermanosilicate molecular sieve of CTH framework topology with water or an aqueous solution of a mineral acid under conditions sufficient to degermanate at least a portion of aluminogermanosilicate molecular sieve to form a degermanated molecular sieve and calcining the degermanated molecular sieve under conditions sufficient to convert the degermanated molecular sieve to SSZ-114. Molecular sieve SSZ-114 may be used in organic compound conversion reactions and/or sorptive processes.

    MOLECULAR SIEVE SSZ-105
    3.
    发明申请

    公开(公告)号:US20170107112A1

    公开(公告)日:2017-04-20

    申请号:US14884845

    申请日:2015-10-16

    CPC classification number: C01B39/48 C01B39/023 C01B39/30 C01B39/305

    Abstract: A new crystalline molecular sieve designated SSZ-105 is disclosed. SSZ-105 is synthesized using N,N-dimethylpiperidinium cations as a structure directing agent. SSZ-105 is a disordered aluminosilicate molecular sieve comprising at least one intergrown phase of an ERI framework type molecular sieve and an LEV framework type molecular sieve.

    ARTIFICIAL INTELLIGENCE DIRECTED ZEOLITE SYNTHESIS

    公开(公告)号:US20220399085A1

    公开(公告)日:2022-12-15

    申请号:US17346463

    申请日:2021-06-14

    Abstract: A computer implemented method for designing chemical reactions for catalyst construction is described. The method includes extracting historical data including historic chemical reaction data and historic catalyst construction yield data and converting the historic chemical reaction data into graph models to represent molecular structure data. The method also includes incorporating the graph models into a chemical reaction algorithm and training a vectorized cognitive deep learning network of the chemical reaction algorithm by using the graph models and a property of the historic chemical reaction data to produce a catalyst chemical reaction model. Further, the method includes validating the catalyst chemical reaction model by inputting the historic chemical reaction data and comparing a generated property corresponding to the catalyst chemical reaction model to the property of the historic chemical reaction data. Lastly, the method includes updating the training of the catalyst chemical reaction model.

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