We are a research group at the Helmholtz Institute for Polymers in Energy Applications and the Friedrich-Schiller University of Jena.
The group is led by Kevin Maik Jablonka.
Besides our funding agencies, we thank
For compute credits.
Laboratory for AI for Materials
Independent research group led by Kevin Maik Jablonka
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Repositories
Showing 10 of 43 repositories
- GPMs-book Public
lamalab-org/GPMs-book’s past year of commit activity - secs Public
SECS is a machine learning framework designed for structure elucidation from spectra such as NMR and IR.
lamalab-org/secs’s past year of commit activity - lamalab.github.io Public
lamalab-org/lamalab.github.io’s past year of commit activity - macbench Public
Probing the limitations of multimodal language models for chemistry and materials research
lamalab-org/macbench’s past year of commit activity - PolyMetriX Public
PolyMetriX is a comprehensive Python library that powers the entire machine learning workflow for polymer informatics.
lamalab-org/PolyMetriX’s past year of commit activity - UniPolymer Public Forked from lamalab-org/secs
MoleculeBind is a machine-learning framework for chemistry, where we target unifying various molecular representations into one common latent space (SELFIES, SMILES, Graph, Structures, Fingerprints, Molecular Spectra)
lamalab-org/UniPolymer’s past year of commit activity
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