Jannis Born

Publications

• Lab automation, data modeling, and AI agents for accelerated catalyst discovery

  • • Nathaniel Park
    • Matteo Manica
    • et al.
  • 2023
  • ACS Fall 2023

• Unifying Molecular and Textual Representations via Multi-task Language Modelling

  • • Dimitrios Christofidellis
    • Giorgio Giannone
    • et al.
  • 2023
  • ICML 2023

• Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language

  • • Nathaniel Park
    • Matteo Manica
    • et al.
  • 2023
  • Nature Communications

• A new era of collaborative experimentation enabled by multi-cloud and AI foundation models

  • • Patrick Ruch
    • Alain Vaucher
    • et al.
  • 2023
  • Future Labs Live 2023

• Accelerating material design with the generative toolkit for scientific discovery

  • • Matteo Manica
    • Jannis Born
    • et al.
  • 2023
  • npj Computational Materials

• Unifying Molecular and Textual Representations via Multi-task Language Modelling

  • • Dimitrios Christofidellis
    • Giorgio Giannone
    • et al.
  • 2023
  • MRS Spring Meeting 2023

• Growing Strings in a Chemical Reaction Space for Searching Retrosynthesis Pathways

  • • Federico Zipoli
    • Carlo Baldassari
    • et al.
  • 2023
  • MRS Spring Meeting 2023

• Regression Transformer enables concurrent sequence regression and generation for molecular language modelling

  • • Jannis Born
    • Matteo Manica
  • 2023
  • Nature Machine Intelligence

• Chemical representation learning for toxicity prediction

  • • Jannis Born
    • Greta Markert
    • et al.
  • 2023
  • Digital Discovery

• Unifying Molecular and Textual Representations via Multi-task Language Modelling

  • • Dimitrios Christofidellis
    • Giorgio Giannone
    • et al.
  • 2023
  • ACS Spring 2023