Development of Pd-immobilized porous polymer catalysts via Bayesian optimization

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説明

In this study, a Pd-polymeric porous immobilized catalyst is prepared for the Suzuki–Miyaura coupling reactions by employing a Bayesian optimization method to optimize the catalyst. This research represents the first endeavor to utilize machine learning for the optimization of polymer-immobilized catalysts and provides a novel perspective on utilizing machine learning for the optimization of complex materials.

収録刊行物

  • Polymer Journal

    Polymer Journal 56 (9), 865-872, 2024-06-06

    Springer Nature

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