Literature DB >> 22551550

Nanometer-scale flow of molten polyethylene from a heated atomic force microscope tip.

Jonathan R Felts1, Suhas Somnath, Randy H Ewoldt, William P King.   

Abstract

We investigate the nanometer-scale flow of molten polyethylene from a heated atomic force microscope (AFM) cantilever tip during thermal dip-pen nanolithography (tDPN). Polymer nanostructures were written for cantilever tip temperatures and substrate temperatures controlled over the range 100-260 °C and while the tip was either moving with speed 0.5-2.0 µm s(-1) or stationary and heated for 0.1-100 s. We find that polymer flow depends on surface capillary forces and not on shear between tip and substrate. The polymer mass flow rate is sensitive to the temperature-dependent polymer viscosity. The polymer flow is governed by thermal Marangoni forces and non-equilibrium wetting dynamics caused by a solidification front within the feature.

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Year:  2012        PMID: 22551550     DOI: 10.1088/0957-4484/23/21/215301

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  4 in total

1.  Tip-Based Nanofabrication of Arbitrary Shapes of Graphene Nanoribbons for Device Applications.

Authors:  Huan Hu; Shouvik Banerjee; David Estrada; Rashid Bashir; William P King
Journal:  RSC Adv       Date:  2015-04-15       Impact factor: 3.361

2.  The role of viscosity on polymer ink transport in dip-pen nanolithography.

Authors:  Guoliang Liu; Yu Zhou; Resham S Banga; Radha Boya; Keith A Brown; Anthony J Chipre; Sonbinh T Nguyen; Chad A Mirkin
Journal:  Chem Sci       Date:  2013-05-01       Impact factor: 9.825

Review 3.  Recent Applications of Advanced Atomic Force Microscopy in Polymer Science: A Review.

Authors:  Phuong Nguyen-Tri; Payman Ghassemi; Pascal Carriere; Sonil Nanda; Aymen Amine Assadi; Dinh Duc Nguyen
Journal:  Polymers (Basel)       Date:  2020-05-17       Impact factor: 4.329

Review 4.  Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets.

Authors:  Alex Belianinov; Rama Vasudevan; Evgheni Strelcov; Chad Steed; Sang Mo Yang; Alexander Tselev; Stephen Jesse; Michael Biegalski; Galen Shipman; Christopher Symons; Albina Borisevich; Rick Archibald; Sergei Kalinin
Journal:  Adv Struct Chem Imaging       Date:  2015-05-13
  4 in total

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