Evaporative Self-assembly Of Ordered Complex Structures

Evaporative Self-assembly Of Ordered Complex Structures PDF

Author: Zhiqun Lin

Publisher: World Scientific

Published: 2012-02-28

Total Pages: 395

ISBN-13: 9814465046

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The use of spontaneous self-assembly, as a lithographic tool and as an external field-free means to construct well-ordered and intriguing patterns, has received much attention due to its ease of producing complex, large-scale structures with small feature sizes. An extremely simple route to highly-ordered, complex structures is the evaporative self-assembly of nonvolatile solutes (e.g., polymers, nanoparticles, carbon nanotubes, and DNA) from a sessile droplet on a solid substrate. To date, a few studies have elegantly demonstrated that self-organized nanoscale, microscale, and hierarchically structured patterns have been readily obtained from sophisticated control of droplet evaporation. These include convective assembly in evaporating menisci, the alignment of nanomaterials by programmed dip coating and controlled anisotrophic wetting/dewetting processes, facile microstructuring of functional polymers by the “Breath Figure” method, controlled evaporative self-assembly in confined geometries, etc.This book is unique in this regard in providing a wide spectrum of recent experimental and theoretical advances in evaporative self-assembly techniques. The ability to engineer an evaporative self-assembly process that yields a broad range of complex, well-ordered and intriguing structures with small feature sizes composed of polymers of nanocrystals of different size and shapes as well as DNA over large areas offers tremendous potential for applications in electronics, optoelectronics, photonics, sensors, information processing and data storage devices, nanotechnology, high-throughput drug discovery, chemical detection, combinatorical chemistry, and biotechnology.

Evaporative Self-assembly of Ordered Complex Structures

Evaporative Self-assembly of Ordered Complex Structures PDF

Author: Zhiqun Lin

Publisher: World Scientific

Published: 2012

Total Pages: 395

ISBN-13: 9814304689

DOWNLOAD EBOOK →

The use of spontaneous self-assembly, as a lithographic tool and as an external field-free means to construct well-ordered and intriguing patterns, has received much attention. This book offers a spectrum of experimental and theoretical advances in evaporative self-assembly techniques.

Polymer Surfaces in Motion

Polymer Surfaces in Motion PDF

Author: Juan Rodríguez-Hernández

Publisher: Springer

Published: 2015-08-03

Total Pages: 291

ISBN-13: 3319174312

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Pattern formation is a fascinating and challenging aspect in polymer science. This book describes a number of unconventional approaches developed to control the morphology of polymer surfaces and materials, from random or simple patterns to complex structures. Specialists provide an up-to-date and complete overview of each technique in their respective field.

Self Assembly of Complex Structures

Self Assembly of Complex Structures PDF

Author: Michael Nellis

Publisher:

Published: 2007

Total Pages:

ISBN-13:

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ABSTRACT: The state of the art in artificial micro self assembly concepts are reviewed. The history of assembly is presented with a comparison to macro assembly, which has been widely studied, and micro self assembly. Criteria were developed and tested to show that macro assembly is more complex in ways that micro self assembly is not. Self assembly requirements for successful and complex self assembly, which evolved from the macro and micro comparison, are also established and tested. A method to assemble complex structures in the micro scale is proposed and demonstrated at the meso scale. The basic concepts of self assembly and a novel approach to complex multi layer self assembly is analyzed.

Probabilistic Analysis of Self-assembly

Probabilistic Analysis of Self-assembly PDF

Author: Tyler Garrett Moore

Publisher:

Published: 2021

Total Pages: 0

ISBN-13:

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Self-assembly is a pervasive process in natural phenomena that builds complex structures from very simple components. These processes are central to nanoscale manufacturing and crystallography and rely on stochastic self-assembly to bring order out of molecular chaos. In particular, the algorithmic models of self-assembly (for example, the aTAM) employ highly nondeterministic dynamics in an attempt to emulate the massively parallel physical feats effected by DNA {\it in vivo} to support life. In this work, we define a new object in algorithmic self-assembly called the synoptic pattern to explore structural properties and the long-term behavior of algorithmic self-assembly systems. The synoptic pattern is analogous to the computation tree of a nondeterministic Turing machine, which are known to be computational universal and hence unpredictable algorithmically. We show that synoptic patterns are a robust and useful framework for self-assembly processes at large and enable analysis of their behavior. In particular, they afford a useful analytical tool to understand structural properties of and a nontrivial probabilistic analysis of the long-term behavior of self-assembly processes in large families of 1D and some 2D aTAM self-assembly systems, including systems generating infinite families of patterns describable by regular and linear languages in the Chomsky hierarchy. Finally, we also introduce probabilistic definitions of the efficiency of assembly processes and expand on previous work to show how one assembler can efficiently probabilistically approximate a given target assembler by mostly producing patterns that match closely patterns produced by the target assembler, even in the presence of assembly errors..

Self-assembly at Solution/solid Interfaces

Self-assembly at Solution/solid Interfaces PDF

Author: Henry D. Castillo

Publisher:

Published: 2020

Total Pages: 161

ISBN-13:

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Molecular self-assembly at surfaces offers an efficient route to highly-ordered organic films that can be programmed for a variety of applications. However, the success of these materials depends on the ability to program intermolecular interactions that determine ordering at the surface. We study three systems: alkoxybenzonitriles (ABNs), tricarbazolo triazolophane macrocycles (tricarb), and triazolobenzene oligomers in flexible or macrocycle forms. For each model system, experiments employ a range of molecules in which aspects of molecular structure, especially symmetry and peripheral functionalization, are systematically varied to study the impact of intermolecular interactions on 2D supramolecular structure and to gain a deeper understanding of fundamental assembly mechanisms. The supramolecular assemblies are studied by scanning tunneling microscopy (STM) and molecular dynamic (MD) simulations at the solution/graphite interface. Variations in assembly conditions, including solvent, concentration, and temperature, also provide insight into assembly. ABNs exhibit competitive assembly with solvent that can be controlled with alkyl length. MD simulations on nanosecond timescales provide insight into ABN desorption, re-adsorption, and on-surface processes, and simulations reveal an asymmetry in desorption pathways. Triazolobenzene oligomers can be tuned between tight and loose packing of aromatic cores, the latter being separated by lamellar rows of alkanes. Flexible frameworks assemble more slowly compared to macrocycles due to a large conformational space, but self-assembly can be accelerated by co-solutes and STM perturbation. Tricarb exhibits polymorphism, and tricarb-tricarb hydrogen bonding can be controlled by varying the length and symmetry of peripheral alkanes into various structures including a high-density disordered packing. Variable solvent and peripheral group studies indicate that transitions from disordered to ordered structures involve a solution-mediated annealing pathway. MD simulations reveal solvent insertion between tricarb leading to disordered structures, but these can be sterically blocked by longer alkanes. The discoveries presented in this thesis provide insights into the dynamics and design rules of self-assembly.

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