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Author: Shubham Dattaram Pinge Publisher: ISBN: Category : Languages : en Pages : 134
Book Description
Block copolymers (BCPs) self organize at molecular level building blocks and forming nano-structures with characteristic length scales. As these nano-structures resemble the lithographic features desired in the micro-electronics industry, they are used as a nanotemplate in the manufacture of micro-chips. This study focusses on the pillarpost guide method of directing self assemblies to form 'punch hole' lithographic nano-patterns. The work aims to elucidate the necessary conditions required to form hexagonal packed cylinders using di-block copolymers. It sheds lights on various factors that affect the BCP self assembly and how the morphology is altered due to these factors. These include biasing the surfaces (selective towards one of the BCP phase) and altering the BCP properties (chain length, volume fraction etc). The morphologies attained have been independently verified by experimental results obtained from our collaborators at EMD Performance Materials Group, NJ-USA. Apart from optimizing the morphology of the system, fundamental studies have been performed on the system. The behavior of the BCP chains is analyzed under a simple confinement between two flat substrates that selectively wets one of the phases. The morphology thus formed is studied with the polymer chain length being the reaction coordinate for a fixed critical confinement. The results obtained from the fundamental study has helped us in explaining the morphology formed in a more complex geometry like pillarpost guide that uses topography to confine the polymers. This in turn has proven to be of great benefit to optimally design the system and achieve the ideal nanolithographic patterns. iii.
Author: Shubham Dattaram Pinge Publisher: ISBN: Category : Languages : en Pages : 134
Book Description
Block copolymers (BCPs) self organize at molecular level building blocks and forming nano-structures with characteristic length scales. As these nano-structures resemble the lithographic features desired in the micro-electronics industry, they are used as a nanotemplate in the manufacture of micro-chips. This study focusses on the pillarpost guide method of directing self assemblies to form 'punch hole' lithographic nano-patterns. The work aims to elucidate the necessary conditions required to form hexagonal packed cylinders using di-block copolymers. It sheds lights on various factors that affect the BCP self assembly and how the morphology is altered due to these factors. These include biasing the surfaces (selective towards one of the BCP phase) and altering the BCP properties (chain length, volume fraction etc). The morphologies attained have been independently verified by experimental results obtained from our collaborators at EMD Performance Materials Group, NJ-USA. Apart from optimizing the morphology of the system, fundamental studies have been performed on the system. The behavior of the BCP chains is analyzed under a simple confinement between two flat substrates that selectively wets one of the phases. The morphology thus formed is studied with the polymer chain length being the reaction coordinate for a fixed critical confinement. The results obtained from the fundamental study has helped us in explaining the morphology formed in a more complex geometry like pillarpost guide that uses topography to confine the polymers. This in turn has proven to be of great benefit to optimally design the system and achieve the ideal nanolithographic patterns. iii.
Author: Grant Parker Garner Publisher: ISBN: 9780355519556 Category : Languages : en Pages : 108
Book Description
Prior to the work presented in Chapter 2, the TICG model has been used in conjunction with a chemical pattern that is approximated as a hard-impenetrable surface. As many experimental systems use polymer brushes to help guide the polymer melt deposited on the substrate, this work analyzes the consequences of such an assumption by comparing a model where the polymer brush is explicitly implemented to the hard-wall substrate used in the past. Then, a methodology which utilizes a evolutionary optimization method is used to map the parameters of the more detailed model to the hard-surface model. This provides a qualitative understanding of how to interpret the model parameters used in previous works in the context of real experimental pattern designs.
Author: Roel Gronheid Publisher: Woodhead Publishing ISBN: 0081002610 Category : Technology & Engineering Languages : en Pages : 328
Book Description
The directed self-assembly (DSA) method of patterning for microelectronics uses polymer phase-separation to generate features of less than 20nm, with the positions of self-assembling materials externally guided into the desired pattern. Directed self-assembly of Block Co-polymers for Nano-manufacturing reviews the design, production, applications and future developments needed to facilitate the widescale adoption of this promising technology. Beginning with a solid overview of the physics and chemistry of block copolymer (BCP) materials, Part 1 covers the synthesis of new materials and new processing methods for DSA. Part 2 then goes on to outline the key modelling and characterization principles of DSA, reviewing templates and patterning using topographical and chemically modified surfaces, line edge roughness and dimensional control, x-ray scattering for characterization, and nanoscale driven assembly. Finally, Part 3 discusses application areas and related issues for DSA in nano-manufacturing, including for basic logic circuit design, the inverse DSA problem, design decomposition and the modelling and analysis of large scale, template self-assembly manufacturing techniques. - Authoritative outlining of theoretical principles and modeling techniques to give a thorough introdution to the topic - Discusses a broad range of practical applications for directed self-assembly in nano-manufacturing - Highlights the importance of this technology to both the present and future of nano-manufacturing by exploring its potential use in a range of fields
Author: Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Block copolymers (BCPs) have attracted a great deal of scientific and technological interest due to their ability to spontaneously self-assemble into dense periodic nanostructures with a typical length scale of 5 to 50 nm. The use of self-assembled BCP thin-films as templates to form nanopatterns over large-area is referred to as BCP lithography. Directed self-assembly of BCPs is now viewed as a viable candidate for sub-20 nm lithography by the semiconductor industry. However, there are multiple aspects of assembly and materials design that need to be addressed in order for BCP lithography to be successful. These include substrate modification with polymer brushes or mats, tailoring of the block copolymer chemistry, understanding thin-film assembly and developing epitaxial like methods to control long range alignment. The rational design, synthesis and self-assembly of block copolymers with large interaction parameters (chi) is described in the first part of this dissertation. Two main blocks were chosen for introducing polarity into the BCP system, namely poly(4-hydroxystyrene) and poly(2-vinylpyridine). Each of these blocks are capable of ligating Lewis acids which can increase the etch contrast between the blocks allowing for facile pattern transfer to the underlying substrate. These BCPs were synthesized by living anionic polymerization and showed excellent control over molecular weight and dispersity, providing access to sub 5-nm domain sizes. Polymer brushes consist of a polymer chain with one end tethered to the surface and have wide applicability in tuning surface energy, forming responsive surfaces and increasing biocompatibility. In the second part of the dissertation, we present a universal method to grow dense polymer brushes on a wide range of substrates and combine this chemistry with BCP assembly to fabricate nanopatterned polymer brushes. This is the first demonstration of introducing additional functionality into a BCP directing layer and opens up a wide slew of applications from directed self-assembly to biomaterial engineering.
Author: Hyung Wan Do Publisher: ISBN: Category : Languages : en Pages : 125
Book Description
Unconventional computation is a paradigm of computation that uses novel information tokens from natural systems to perform information processing. Using the complexity of physical systems, unconventional computing systems can efficiently solve problems that are difficult to solve classically. In this thesis, we use block copolymer self-assembly, a well-studied phenomenon in polymer science, to develop a new approach to computing by applying directed self-assembly to implement Ising-model-based computing systems in materials. In the first part of the thesis, we investigate directed self-assembly of block copolymer thin films within templates of different polygonal shapes. We define a two-state system based on the two degenerate alignment orientations of the ladder-shaped block copolymer structures formed inside square confinements, and study properties of the two-state system. In the second part of the thesis, we demonstrate an Ising lattice setup for directed self-assembly of block copolymers defined on two-dimensional arrays of posts. We develop an Ising-model-based simulation method that can perform block copolymer pattern prediction and template design. Finally, we design simple Boolean logic gates as a proof-of-concept demonstration of computation.
Author: Karim Raafat Gadelrab Publisher: ISBN: Category : Languages : en Pages : 140
Book Description
Spontaneous self-assembly of materials is a phenomenon exhibited by different molecular systems. Among many, Block copolymers (BCPs) proved to be particularly interesting due to their ability to microphase separate into periodic domains. Nonetheless, the rising need for arbitrary, complex, 3D nanoscale morphology shows that what is commonly achievable is quite limited. Expanding the range of BCPs morphologies could be attained through the implementation of a host of strategies that could be used concurrently. Using directed self-assembly (DSA), a sphere forming BCP was assembled in a randomly displaced post template to study system resilience towards defect creation. Template shear-like distortion seemed to govern local defect generation. Defect clusters with symmetries compatible with that of the BCP showed enhanced stability. Using 44 and 32434 Archimedean tiling templates that are incompatible with BCP six-fold symmetry created low symmetry patterns with an emergent behavior dependent on pattern size and shape. A variation of DSA is studied using modulated substrates. Layer-by-layer deposition of cylinder forming BCPs was investigated. Self-consistent field theory (SCFT) and strong segregation theory SST were employed to provide the understanding and the conditions under which particular orientations of consecutive layers were produced. Furthermore, deep functionalized trenches were employed to create vertically standing high-[chi] BCP structures. Changing annealing conditions for a self-assembled lamellar structure evolved the assembled pattern to a tubular morphology that is non-native to diblock copolymers. A rather fundamental but challenging strategy to go beyond the standard motifs common to BCPs is to synthesize multiblock molecules with an expanded design space. Triblock copolymers produced bilayer perforated lamellar morphology. SCFT analysis showed a large window of stability of such structures in thin films. In addition, a model for bottlebrush BCPs (BBCPs) was constructed to investigate the characteristics of BBCPs self-assembly. Pre-stacked diblock sidechains showed improved microphase separation while providing domain spacing relevant to lithography applications. A rich phase diagram was constructed at different block concentrations. The ability to explore new strategies to discover potential equilibrium morphologies in BCPs is supported by strong numerical modeling and simulations efforts. Accelerating SCFT performance would greatly benefit BCP phase discovery. Preliminary work discussed the first attempt to Neural Network (NN) assisted SCFT. The use of NN was able to cut on the required calculations steps to reach equilibrium morphology, demonstrating accelerated calculation, and escaping trapped states, with no effect on final structure.
Author: Shubham Dattaram Pinge
Author: Shubham Dattaram Pinge
Author: Grant Parker Garner
Author: Adam M. Welander
Author: Roel Gronheid
Author: Erik WiIliam Edwards
Author: Mark P. Stoykovich
Author: 
Author: Laetitia Esther West
Author: Hyung Wan Do
Author: Karim Raafat Gadelrab