


AI FOR SCIENCE · ON THE RECORD
EPFL
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Research on the record
- 2026-10-23Simulated coatings for a sulfide solid electrolyte are made and measured: the lithiated ones keep 40 to 55% of the initial ionic conductivity after processingLevel 4 · Tested in the physical world
- 2026-10-22A model that learns equivariance from data instead of building it in matches the equivariant reference models on molecular dipoles and NMR shielding tensorsLevel 2 · Computed
- 2025-12-25SAGA, an agent that rewrites its own design goals, gets one E. coli hit from 28 tested molecules and three PD-L1 nanobody binders from 24Level 4 · Tested in the physical world
- 2022-02-16A reinforcement-learning system controls plasma in a tokamakLevel 4 · Tested in the physical world
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People
Only people the AI4S.fyi record has named: in a round, a timeline entry, commentary, an interview or a sourced role. Not the full team.
Named on AI4S.fyi
Davide TisiInvited guest, Laboratory of Computational Science and Modeling Simulated coatings for a sulfide solid electrolyte are made and measured: the lithiated ones keep 40 to 55% of the initial ionic conductivity after processing
Hanna TürkGuest, Laboratory of Computational Science and Modeling Simulated coatings for a sulfide solid electrolyte are made and measured: the lithiated ones keep 40 to 55% of the initial ionic conductivity after processing
Joseph W. AbbottDoctoral Assistant, Laboratory of Computational Science and Modeling A model that learns equivariance from data instead of building it in matches the equivariant reference models on molecular dipoles and NMR shielding tensors
Michele CeriottiFull Professor; head of the Laboratory of Computational Science and Modeling A model that learns equivariance from data instead of building it in matches the equivariant reference models on molecular dipoles and NMR shielding tensors
Charlotte BunneTenure Track Assistant Professor, Artificial Intelligence in Molecular Medicine Rivercell: Scientific Advisory Board
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