26 citations · 71 across the 5 of their papers we have counts for
5 papers
Uncovering sustainable personal care ingredient combinations using scientific modelling
Sandip Bhattacharya, Vanessa da Silva, Christina Kohlmann
Personal care formulations often contain synthetic and non-biodegradable ingredients, such as silicone and mineral oils, which can offer a unique performance. However, due to regul…
Predicting the Temperature-Dependent CMC of Surfactant Mixtures with Graph Neural Networks
Christoforos Brozos, Jan G. Rittig, Elie Akanny +3
Surfactants are key ingredients in foaming and cleansing products across various industries such as personal and home care, industrial cleaning, and more, with the critical micelle…
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…
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…
ARGOS at the LBT. Binocular laser guided ground layer adaptive optics
S. Rabien, R. Angel, L. Barl +48
Having completed its commissioning phase, the Advanced Rayleigh guided Ground-layer adaptive Optics System (ARGOS) facility is coming online for scientific observations at the Larg…