26 citations
- Forschungszentrum JülichDE2 papers
- Jülich Aachen Research AllianceDE2 papers
- RWTH Aachen UniversityDE2 papers
- Consorzio Roma RicercheIT1 paper
- HUN-REN Wigner Research Centre for PhysicsHU1 paper
- Institut de recherche mathématique de RennesFR1 paper
- Istituto per le Applicazioni del Calcolo Mauro PiconeIT1 paper
- Johannes Gutenberg University MainzDE1 paper
- Karlsruhe Institute of TechnologyDE1 paper
- Ministry of CommunicationsBR1 paper
- Technische Universität IlmenauDE1 paper
- TU WienAT1 paper
Showing 2024Show all
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math.AP2024★ 3 cited
Relaxing the sharp density stratification and columnar motion assumptions in layered shallow water systems
Mahieddine Adim, Roberta Bianchini, Vincent Duchêne
We rigorously justify the bilayer shallow-water system as an approximation to the hydrostatic Euler equations in situations where the flow is density-stratified with close-to-piece…
physics.chem-ph2024★ 20 cited
Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks
Christoforos Brozos, Jan G. Rittig, Sandip Bhattacharya +3
The critical micelle concentration (CMC) of surfactant molecules is an essential property for surfactant applications in industry. Recently, classical QSPR and Graph Neural Network…
physics.chem-ph2024★ 26 cited
Graph Neural Networks for Surfactant Multi-Property Prediction
Christoforos Brozos, Jan G. Rittig, Sandip Bhattacharya +3
Surfactants are of high importance in different industrial sectors such as cosmetics, detergents, oil recovery and drug delivery systems. Therefore, many quantitative structure-pro…