JakubMartinka/Fulvene-ML-FSSH

Repository associated with article "A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling Vectors"

/ 100

Experimental

No License No Package No Dependents

Maintenance 10 / 25

Adoption 2 / 25

Maturity 1 / 25

Community 0 / 25

Stars

Forks

—

Language

Jupyter Notebook

License

—

Category

Last pushed

Mar 03, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/JakubMartinka/Fulvene-ML-FSSH"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

deepmodeling/deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

chemprop/chemprop

Message Passing Neural Networks for Molecule Property Prediction

mir-group/nequip

NequIP is a code for building E(3)-equivariant interatomic potentials

CederGroupHub/chgnet

Pretrained universal neural network potential for charge-informed atomistic modeling...

microsoft/mattersim

MatterSim: A deep learning atomistic model across elements, temperatures and pressures.