Wettability of soft PLGA surfaces predicted by experimentally augmented atomistic models

A challenging topic in surface engineering is predicting the wetting properties of soft interfaces with different liquids. However, a robust computational protocol suitable for predicting wettability with molecular precision is still lacking. In this article, we propose a workflow based on molecular...

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Veröffentlicht in:	MRS bulletin Jg. 48; H. 2; S. 108 - 117
Hauptverfasser:	Bellussi, Francesco Maria, Roscioni, Otello Maria, Rossi, Edoardo, Cardellini, Annalisa, Provenzano, Marina, Persichetti, Luca, Kudryavtseva, Valeriya, Sukhorukov, Gleb, Asinari, Pietro, Sebastiani, Marco, Fasano, Matteo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.02.2023
Schlagworte:	Applied and Technical Physics Characterization and Evaluation of Materials Chemistry and Materials Science Energy Materials Impact Article Materials Engineering Materials Science Nanotechnology Nanoscale Polymer Interface Computation/computing Fluid
ISSN:	0883-7694, 1938-1425
Online-Zugang:	Volltext
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