A Aralex Aachen research explorer

Search

From

To

Institution

Field

Type

Topic: Machine Learning in Materials Science ×

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Papers matching “multi-task learning” in Machine Learning in Materials Science 5

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Exploring data augmentation: Multi-task methods for molecular property prediction
2025 Computers & Chemical Engineering article Materials Science Machine Learning in Materials Science Open access

Timo Gervens, Alexander Mitsos, Martin Grohe, Jan G. Rittig

2

citations
A multitask latent space learning framework for modeling and inversion of structure–property relationships
2026 RWTH Publications (RWTH Aachen) dissertation Materials Science Machine Learning in Materials Science Open access

Tarek Iraki

0

citations
Graph Neural Networks for Prediction of Fuel Ignition Quality
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Artur M. Schweidtmann, Jan G. Rittig, Andrea Anna König, Martin Grohe, Alexander Mitsos, Manuel Dahmen

1

citations
Graph Neural Networks for Prediction of Fuel Ignition Quality
2020 Energy & Fuels article Materials Science Machine Learning in Materials Science

Artur M. Schweidtmann, Jan G. Rittig, Andrea Anna König, Martin Grohe, Alexander Mitsos, Manuel Dahmen

142

citations
Clapeyron neural networks for single-species vapor–liquid equilibria
2026 Computers & Chemical Engineering article Materials Science Machine Learning in Materials Science Open access

Jan Pavšek, Alexander Mitsos, Elvis J. Sim, Jan G. Rittig

0

citations

5 results