75 citations · 83 across the 2 of their papers we have counts for
2 papers
physics.chem-ph2023★ 8 cited
Understanding the language of molecules: Predicting pure component parameters for the PC-SAFT equation of state from SMILES
Benedikt Winter, Philipp Rehner, Timm Esper +2
A major bottleneck in developing sustainable processes and materials is a lack of property data. Recently, machine learning approaches have vastly improved previous methods for pre…
physics.chem-ph2022★ 75 cited
SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients
Benedikt Winter, Clemens Winter, Timm Esper +2
The availability of property data is one of the major bottlenecks in the development of chemical processes, often requiring time-consuming and expensive experiments or limiting the…