Free-energy landscape of polymer-crystal polymorphism

Polymorphism rationalizes how processing can control the final structure of a material. The rugged free-energy landscape and exceedingly slow kinetics in the solid state have so far hampered computational investigations. We report for the first time the free-energy landscape of a polymorphic crystal...

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Hauptverfasser: Liu, Chan (VerfasserIn) , Brandenburg, Jan Gerit (VerfasserIn) , Valsson, Omar (VerfasserIn) , Kremer, Kurt (VerfasserIn) , Bereau, Tristan (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 03 Sep 2020
In: Soft matter
Year: 2020, Jahrgang: 16, Heft: 42, Pages: 9683-9692
ISSN:1744-6848
DOI:10.1039/D0SM01342K
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1039/D0SM01342K
Verlag, lizenzpflichtig, Volltext: https://pubs.rsc.org/en/content/articlelanding/2020/sm/d0sm01342k
Volltext
Verfasserangaben:Chan Liu, Jan Gerit Brandenburg, Omar Valsson, Kurt Kremer, and Tristan Bereau
Beschreibung
Zusammenfassung:Polymorphism rationalizes how processing can control the final structure of a material. The rugged free-energy landscape and exceedingly slow kinetics in the solid state have so far hampered computational investigations. We report for the first time the free-energy landscape of a polymorphic crystalline polymer, syndiotactic polystyrene. Coarse-grained metadynamics simulations allow us to efficiently sample the landscape at large. The free-energy difference between the two main polymorphs, α and β, is further investigated by quantum-chemical calculations. The results of the two methods are in line with experimental observations: they predict β as the more stable polymorph under standard conditions. Critically, the free-energy landscape suggests how the α polymorph may lead to experimentally observed kinetic traps. The combination of multiscale modeling, enhanced sampling, and quantum-chemical calculations offers an appealing strategy to uncover complex free-energy landscapes with polymorphic behavior.
Beschreibung:Gesehen am 24.11.2020
Beschreibung:Online Resource
ISSN:1744-6848
DOI:10.1039/D0SM01342K