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  1. Article

    Open Access

    Combining data and theory for derivable scientific discovery with AI-Descartes

    Scientists aim to discover meaningful formulae that accurately describe experimental data. Mathematical models of natural phenomena can be manually created from domain knowledge and fitted to data, or, in cont...

    Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson in Nature Communications (2023)

  2. Article

    Open Access

    Evolving scientific discovery by unifying data and background knowledge with AI Hilbert

    The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have derived natural laws by mani...

    Ryan Cory-Wright, Cristina Cornelio, Sanjeeb Dash in Nature Communications (2024)