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...

Celý popis

Podrobná bibliografia

Vydané v:	MRS bulletin Ročník 48; číslo 2; s. 108 - 117
Hlavní autori:	Bellussi, Francesco Maria, Roscioni, Otello Maria, Rossi, Edoardo, Cardellini, Annalisa, Provenzano, Marina, Persichetti, Luca, Kudryavtseva, Valeriya, Sukhorukov, Gleb, Asinari, Pietro, Sebastiani, Marco, Fasano, Matteo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.02.2023
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!