SolvaSpec

Fuente: Zenodo
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Autori principali: Arampath, Umesh, Pioch, Birgit, Detrich, David
Natura: Recurso digital
Pubblicazione: Zenodo 2026
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_version_ 1866901742616051712
author Arampath, Umesh
Pioch, Birgit
Detrich, David
author_facet Arampath, Umesh
Pioch, Birgit
Detrich, David
contents <p>Initial public release accompanying the npj Computational Materials submission of SolvaSpec.</p> <h2>What's in this release</h2> <ul> <li>PaiNN-SCA + Spectrum Hybrid + ε Random Forest source code</li> <li>Training and inference pipeline</li> <li>Reproducibility script (<code>reproduce_paper.py</code>) for headline numbers</li> <li>Worked-example notebook</li> <li>MIT license</li> </ul> <h2>Companion artefacts</h2> <ul> <li><strong>Checkpoints + F13 corpus + wetlab data</strong>: separate Zenodo deposit (link to be added)</li> <li><strong>Interactive demo</strong>: https://huggingface.co/spaces/MWBC/SolvaSpec_MWBC</li> </ul> <h2>Citation</h2> <p>See CITATION.cff in the repo root.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_20044274
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle SolvaSpec
Arampath, Umesh
Pioch, Birgit
Detrich, David
UV-Vis spectroscopy
excited states
graph neural network
SE(3)-equivariant
PaiNN
sunscreen
virtual screening
<p>Initial public release accompanying the npj Computational Materials submission of SolvaSpec.</p> <h2>What's in this release</h2> <ul> <li>PaiNN-SCA + Spectrum Hybrid + ε Random Forest source code</li> <li>Training and inference pipeline</li> <li>Reproducibility script (<code>reproduce_paper.py</code>) for headline numbers</li> <li>Worked-example notebook</li> <li>MIT license</li> </ul> <h2>Companion artefacts</h2> <ul> <li><strong>Checkpoints + F13 corpus + wetlab data</strong>: separate Zenodo deposit (link to be added)</li> <li><strong>Interactive demo</strong>: https://huggingface.co/spaces/MWBC/SolvaSpec_MWBC</li> </ul> <h2>Citation</h2> <p>See CITATION.cff in the repo root.</p>
title SolvaSpec
topic UV-Vis spectroscopy
excited states
graph neural network
SE(3)-equivariant
PaiNN
sunscreen
virtual screening
url https://doi.org/10.5281/zenodo.20044274