Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- MRS Fall Meeting 2022
Talk
Federico Zipoli
Title
Research Scientist
Bio
I am a member of the team responsible for AI for material discovery and atomistic simulations of materials at the IBM Research – Zurich Lab.
Publications
Learning a Reactive Potential for Silica-Water Through Uncertainty Attribution
- Swagata Roy
- Johannes Duerholt
- et al.
- 2022
- MRS Fall Meeting 2022
TalkDeep learning assisted Suzuki cross coupling catalyst design
- Oliver Schilter
- Federico Zipoli
- et al.
- 2022
- ACS Fall 2022
Conference paperAccelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- ACS Fall 2022
Conference paperPrediction of Phase Diagrams and Associated Phase Structural Properties
- Federico Zipoli
- Victor Viterbo
- et al.
- 2022
- Ind. Eng. Chem. Res.
PaperLearning from literature-extracted synthesis actions for organic synthesis
- Alain Vaucher
- Philippe Schwaller
- et al.
- 2022
- AMLD EPFL 2022
Invited talk
Patents
- US
- 11121409
- US
- 11016965
- US
- 9953839
- US
- 9947867
- US
- 9640759
Projects
Combining AI & Quantum to design new algorithms for scientific computing
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
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
RN
Rodrigo Neumann
Senior Research Scientist
MA
KS
Kunal Sharma
Senior Research Scientist; Manager, Quantum Algorithms