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Showing 1–4 of 4 results
Advanced filters: Author: Mathieu G. Baltussen Clear advanced filters

  • Designing enzymatic reaction networks capable of mimicking the complexity of biological information processing is challenging. Now, an in chemico reservoir sensor based on a recursive enzymatic competition network has been designed that can process diverse physical and chemical inputs and perform several information-processing tasks.

    • Souvik Ghosh
    • Mathieu G. Baltussen
    • Wilhelm T. S. Huck
    ResearchOpen Access
    Nature Chemistry
    Volume: 18, P: 302-308

  • Kinetic modeling of in vitro enzymatic reaction networks (ERNs) is severely hampered by the lack of training data. Here, authors introduce a methodology that combines an active learning-like approach and flow chemistry to create optimized datasets for an intricate ERN.

    • Bob van Sluijs
    • Tao Zhou
    • Wilhelm T. S. Huck
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-10

  • A chemical reservoir computer based on the formose reaction has been discovered that can perform several nonlinear classification tasks in parallel, predict the dynamics of other complex systems and achieve time-series forecasting.

    • Mathieu G. Baltussen
    • Thijs J. de Jong
    • Wilhelm T. S. Huck
    ResearchOpen Access
    Nature
    Volume: 631, P: 549-555