Polygonal tessellations as predictive models of molecular monolayers.

Regos, Krisztina; Pawlak, Rémy; Wang, Xing; Meyer, Ernst; Decurtins, Silvio; Domokos, Gábor; Novoselov, Kostya S; Liu, Shi-Xia; Aschauer, Ulrich

Regos, Krisztina; Pawlak, Rémy; Wang, Xing; Meyer, Ernst; Decurtins, Silvio; Domokos, Gábor; Novoselov, Kostya S; Liu, Shi-Xia; Aschauer, Ulrich.

Afiliación

Regos K; Department of Morphology and Geometric Modeling, Budapest University of Technology and Economics H-1111 Budapest, Hungary.
Pawlak R; Morphodynamics Research Group, Eötvös Lóránd Research Network and Budapest University of Technology and Economics, H-1111 Budapest, Hungary.
Wang X; Department of Physics, University of Basel 4056 Basel, Switzerland.
Meyer E; Department of Chemistry, Biochemistry and Pharmacy, University of Bern 3012 Bern, Switzerland.
Decurtins S; Department of Physics, University of Basel 4056 Basel, Switzerland.
Domokos G; Department of Chemistry, Biochemistry and Pharmacy, University of Bern 3012 Bern, Switzerland.
Novoselov KS; Department of Morphology and Geometric Modeling, Budapest University of Technology and Economics H-1111 Budapest, Hungary.
Liu SX; Morphodynamics Research Group, Eötvös Lóránd Research Network and Budapest University of Technology and Economics, H-1111 Budapest, Hungary.
Aschauer U; Institute for Functional Intelligent Materials, National University of Singapore, Singapore 117544, Singapore.

Proc Natl Acad Sci U S A ; 120(16): e2300049120, 2023 Apr 18.

Article en En | MEDLINE | ID: mdl-37040408

Palabras clave

2D; monolayer; self-assembly; tessellation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article País de afiliación: Hungria

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