1 resultado para Contrast-enhanced study
em Nottingham eTheses
Filtro por publicador
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (13)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Aston University Research Archive (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (79)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (6)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (89)
- Brock University, Canada (9)
- CentAUR: Central Archive University of Reading - UK (97)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (2)
- Cochin University of Science & Technology (CUSAT), India (14)
- Collection Of Biostatistics Research Archive (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (38)
- Dalarna University College Electronic Archive (3)
- Digital Archives@Colby (1)
- Digital Commons at Florida International University (1)
- DigitalCommons@The Texas Medical Center (7)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (19)
- Duke University (2)
- Galway Mayo Institute of Technology, Ireland (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Institute of Public Health in Ireland, Ireland (2)
- Instituto Politécnico do Porto, Portugal (7)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (3)
- Nottingham eTheses (1)
- Open Access Repository of Association for Learning Technology (ALT) (1)
- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (1)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (3)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (7)
- Repositório da Produção Científica e Intelectual da Unicamp (9)
- Repositório digital da Fundação Getúlio Vargas - FGV (5)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (4)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (73)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (6)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (3)
- Scielo Saúde Pública - SP (52)
- Scientific Open-access Literature Archive and Repository (2)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (4)
- Universidade Complutense de Madrid (1)
- Universidade do Minho (9)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (235)
- Université de Montréal, Canada (16)
- University of Queensland eSpace - Australia (37)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
Resumo:
The growth of fingering patterns in dewetting nanofluids (colloidal solutions of thiol-passivated gold nanoparticles) has been followed in real time using contrast-enhanced video microscopy. The fingering instability on which we focus here arises from evaporatively-driven nucleation and growth a nanoscopically thin "precursor" solvent film behind the macroscopic contact line. We find that well-developed isotropic fingering structures only form for a narrow range of experimental parameters. Numerical simulations, based on a modification of the Monte Carlo approach introduced by Rabani et al. [Nature 426, 271 (2003)], reproduce the patterns we observe experimentally.