Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- ACS Fall 2022
Federico Zipoli
Pronouns
He/Him/His
Title
Research Scientist
Publications
Deep learning assisted Suzuki cross coupling catalyst design
- Oliver Schilter
- Federico Zipoli
- et al.
- 2022
- ACS Fall 2022
Prediction of Phase Diagrams and Associated Phase Structural Properties
- Federico Zipoli
- Victor Viterbo
- et al.
- 2022
- Ind. Eng. Chem. Res.
Learning from literature-extracted synthesis actions for organic synthesis
- Alain Vaucher
- Philippe Schwaller
- et al.
- 2022
- AMLD EPFL 2022
Patents
- US
- 11121409
- US
- 11016965
- US
- 9953839
- US
- 9947867
- US
- 9640759
Projects
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
Blog posts
AI for chemistry: IBM and Evonik Industries to boost material design
Case studyOliver Schilter, Theophile Gaudin, and Federico Zipoli8 minute read
Top collaborators
TL
Teodoro Laino
Distinguished RSM, Manager
MA
MM
Matteo Manica
Senior Research Scientist
AG
Andrea Giovannini
Senior Research Engineer, Manager