Study of Block Copolymer Lithography using SCFT: New Patterns and Methodology

Similar documents
Field-based Simulations for Block Copolymer Lithography (Self-Assembly of Diblock Copolymer Thin Films in Square Confinement)

Self-Assembly on the Sphere: A Route to Functional Colloids

Technologies VII. Alternative Lithographic PROCEEDINGS OF SPIE. Douglas J. Resnick Christopher Bencher. Sponsored by. Cosponsored by.

High-Resolution Implementation of Self-Consistent Field Theory

SEMATECH Knowledge Series 2010

Introduction to / Status of Directed Self- Assembly

Chapter 2. Block copolymers. a b c

Enhancing the Potential of Block Copolymer Lithography with Polymer Self-Consistent Field Theory Simulations

Supporting Online Material. Directed Assembly of Block Copolymer Blends into Non-regular Device Oriented Structures

Self-consistent field theory simulations of block copolymer assembly on a sphere

Supporting Information for: Rapid Ordering in. Wet Brush Block Copolymer/Homopolymer

Sensors and Metrology. Outline

Lithography Challenges Moore s Law Rising Costs and Challenges of Advanced Patterning

RESEARCH HIGHLIGHTS. Polymer Photonic Crystals by Self-Assembly Raymond Weitekamp

Self-study problems and questions Processing and Device Technology, FFF110/FYSD13

Self-Assembled Morphologies of a Diblock Copolymer Melt Confined in a Cylindrical Nanopore

arxiv: v1 [cond-mat.soft] 20 Aug 2016

Nanoparticle Devices. S. A. Campbell, ECE C. B. Carter, CEMS H. Jacobs, ECE J. Kakalios, Phys. U. Kortshagen, ME. Institute of Technology

PHYSICAL REVIEW E 69,

Supratelechelics: thermoreversible bonding in difunctional polymer blends

Microfabrication for MEMS: Part I

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

Unconventional Nano-patterning. Peilin Chen

Self Organization. Order. Homogeneous state. Structurally ordered state. Structurally ordered state. Order. Disorder

EV Group. Engineered Substrates for future compound semiconductor devices

Nanostrukturphysik (Nanostructure Physics)

Chapter 2 Process Variability. Overview. 2.1 Sources and Types of Variations

Cavity Solitons positioning and drift in presence of a phase gradient

Kinetics of layer hopping in a diblock copolymer lamellar phase

Sensors and Metrology

Lecture 12: Biomaterials Characterization in Aqueous Environments

Lecture 0: Introduction

MICRO AND NANOPROCESSING TECHNOLOGIES

Deposition of Multilayer Fibers and Beads by Near-Field Electrospinning for Texturing and 3D Printing Applications

UNIT 3. By: Ajay Kumar Gautam Asst. Prof. Dev Bhoomi Institute of Technology & Engineering, Dehradun

FLCC Seminar. Spacer Lithography for Reduced Variability in MOSFET Performance

Self-folding thermo-magnetically responsive softmicrogrippers

Woo Jin Hyun, Ethan B. Secor, Mark C. Hersam, C. Daniel Frisbie,* and Lorraine F. Francis*

Title Single Row Nano-Tribological Printing: A novel additive manufacturing method for nanostructures

NANO-CMOS DESIGN FOR MANUFACTURABILILTY

Applicable Simulation Methods for Directed Self-Assembly -Advantages and Disadvantages of These Methods

Physics of disordered materials. Gunnar A. Niklasson Solid State Physics Department of Engineering Sciences Uppsala University

Three Approaches for Nanopatterning

The Intermaterial Dividing Surface (IMDS)

Wet Chemical Processing with Megasonics Assist for the Removal of Bumping Process Photomasks

Supplementary Materials for

Interfacial forces and friction on the nanometer scale: A tutorial

Quantum Dot Lasers. Jose Mayen ECE 355

Nanosphere Lithography

Nanomaterials and their Optical Applications

Modern Additive Technology - a view into the future

Small Angle Scattering - Introduction

SUPPLEMENTARY INFORMATION 1

Block Copolymer Nanolithography: Translation of Molecular Level Control to Nanoscale Patterns

The standard Gaussian model for block copolymer melts

arxiv: v1 [cond-mat.mtrl-sci] 14 Nov 2018

Low Power Phase Change Memory via Block Copolymer Self-assembly Technology

Etching: Basic Terminology

Toward nanoporous composite membranes with tailored block copolymers as selective layer

Fabrication of ordered array at a nanoscopic level: context

MEMS Metrology. Prof. Tianhong Cui ME 8254

Nanostructure. Materials Growth Characterization Fabrication. More see Waser, chapter 2

Research to Improve Photovoltaic (PV) Cell Efficiency by Hybrid Combination of PV and Thermoelectric Cell Elements.

PHYS 3313 Section 001 Lecture #21 Monday, Nov. 26, 2012

φ(z) Application of SCF to Surfaces and Interfaces (abridged from notes by D.J. Irvine)

Ion Implantation ECE723

Physical Chemistry of Polymers (4)

Basic Laboratory. Materials Science and Engineering. Atomic Force Microscopy (AFM)

Charge Extraction from Complex Morphologies in Bulk Heterojunctions. Michael L. Chabinyc Materials Department University of California, Santa Barbara

OVERVIEW OF THE SUPERTHEME PROJECT

Surface atoms/molecules of a material act as an interface to its surrounding environment;

Modeling and Computation Core (MCC)

Atomic Force Microscopy imaging and beyond

J. Photopolym. Sci. Technol., Vol. 22, No. 5, Fig. 1. Orthogonal solvents to conventional process media.

Title of file for HTML: Supplementary Information Description: Supplementary Figures and Supplementary References

Supplementary Figures Supplementary Figure 1

2 Current status of the project

Supplementary Figure 1 SEM images and corresponding Fourier Transformation of nanoparticle arrays before pattern transfer (left), after pattern

arxiv: v1 [cond-mat.soft] 11 Oct 2014

ENAS 606 : Polymer Physics

Technology Brief 9: Capacitive Sensors

nmos IC Design Report Module: EEE 112

Imaging Polymer Morphology Using Atomic Force Microscopy

Supplementary Figure 1 Scheme image of GIXD set-up. The scheme image of slot die

I. NANOFABRICATION O AND CHARACTERIZATION Chap. 2 : Self-Assembly

Nanostructures Fabrication Methods

Design of Optoelectronically-active Polymers for Organic Photovoltaic Applications

Combinatorial Heterogeneous Catalysis

Fluctuations in polymer blends

Dynamic modelling of morphology development in multiphase latex particle Elena Akhmatskaya (BCAM) and Jose M. Asua (POLYMAT) June

Instabilities in Thin Polymer Films: From Pattern Formation to Rupture

Hybrid Wafer Level Bonding for 3D IC

Morphological evolution of single-crystal ultrathin solid films

CURRENT STATUS OF NANOIMPRINT LITHOGRAPHY DEVELOPMENT IN CNMM

Structural evolutions in electroactive poly(vdf-co-trfe) copolymers for organic electronics

Imaging Methods: Scanning Force Microscopy (SFM / AFM)

Simulations of Self-Assembly of Polypeptide-Based Copolymers

Surfaces, Interfaces, and Layered Devices

A Novel Self-aligned and Maskless Process for Formation of Highly Uniform Arrays of Nanoholes and Nanopillars

per chip (approx) 1 SSI (Small Scale Integration) Up to 99

Transcription:

Study of Block Copolymer Lithography using SCFT: New Patterns and Methodology Su-Mi Hur Glenn Fredrickson Complex Fluids Design Consortium Annual Meeting Monday, February 2, 2009 Materials Research Laboratory University of California, Santa Barbara

Outline Motivation & Block Copolymer Lithography Numerical Method AB + B C (+ Confinement) AB+ A + Confinement Mixed Polymer Brushes + Confinement 2

Lithography Optical printing of complex circuit diagrams into pattern on the wafer (through mask onto photo-resist) Complicated, expensive, and critical process of modern integrated circuit (IC) manufacturing Scaling is limited by wavelength of light ( > 22nm) Equipment cost exponentially increases as reducing the dimension. Aurangzeb Khan, Lecture note of VLSI Desing system New families of imaging materials and novel approaches 3

Block Copolymer Lithography Promising high resolution lithographic tool Microscopic phase separation in the scale of Various types of geometries in block copolymer thin film parallel lamellar perpendicular lamellar parallel cylinder perpendicular cylinder sphere R. Segalman, Matl. Sci. & Eng. 2005, 48, 191-226. 4

Control of Microdomain Ordering High resolution - demand for smaller device structures Placement accuracy Reduction of defects density - yield loss Throughput - manufacturing cost Some applications require long-range perfect ordering. Mechanical flow field Electrical field Temperature gradient Chemically patterned substrate Topographically patterned substrate Daniel J.C. Herr, Future Fab. Intl. Sec.5. 2005, Issue 18 5

Graphoepitaxy :Topographically Patterned Substrate Bottom-up self-assembly of block copolymers on 10 nm scales Top-down conventional lithography in generating micron-scale wells Lateral confinement can promote defect-free self-assembled block copolymer features. J.Y.Cheng et al. Adv. Mater. 2006, 18, 2505-2521 R. A. Segalman and A. Hexemer and E. J. Kramer, Macromolecules. 2003, 36, 6831. 6

Outline Motivation & Block Copolymer Lithography Numerical Method AB + B C (+ Confinement) AB+ A + Confinement Mixed Polymer Brushes + Confinement 7

SCFT Algorithm Start: Generate Random Initial Field Configurations w(x,0) N Solve Modified Diffusion Equation for chain propagator q (x, s ;[w]) END Convergence Criterion is Satisfied? Y Solve the Single Chain Partition Function Q Calculate the densities Update the field w(x,t) 8

How to Implement Confinement Wall Predetermined wall density function four-fold modulated tanh function 0 Square mask and its cross section Local incompressibility Include contact interaction between the wall and A- and B- segments: possible to implement A- or B-wetting wall 9

Alternative Approach to Square Confinement Masking method: Periodic B.C with plane wave basis Adaptable to non-symmetric well geometries Slow convergence Wasted computation in the masked area Alternative approach using sine wave basis function Use the actual cell Dirichlet boundary condition at the edges Sine wave basis Sine FFT, rather than the complex FFT No wasted computations in the masked areas Faster convergence in the field update scheme 10

Overview Block Copolymer Lithography Numerical Method AB + B C (+ Confinement) AB+ A + Confinement Mixed polymer brushes + confinement 11

AB + B C Square array: canonical structure defined by Semiconductor Industry Association (SIA) ABC triblock copolymer A B C Binary blend of AB and B'C diblock copolymers in which the B and B' blocks have attractive supramolecular interactions A B Y. Mogi et al. Macromolecules, 1992, 25, 5408-5411 B C C. Tang et al. Science, 2008, 322, 429 When do we observe square lattice? SCFT simulations of the system varying χ BB N, χ AC N and χn( A/B(B ), C/B(B )) 12

Effect of repulsive interaction between A and C, χ AC N A B Fixing χ BB N = -7.468, χn = 18.875, f B/B = 0.7 B C Increasing repulsive interaction between the minor blocks A and C, χ AC N 5 10 15 20 25 30 35 40 A+C A HEX A and C are micible. SQR A and C segregate into the core and shell of the cylinders in order to reduce A/C contacts. Disordered Free energy cost of A/C contacts are larger than for the A/B(B ) and C/B(B ). SQR Cylinders composed solely of either the A or C component. 13

Phase Diagram of AB+B C Fixing χ BB N = -7.468 Increasing repulsive interaction between the minor blocks A and C, χ AC N 5 10 15 20 25 30 35 40 12 Increasing repulsive interaction between other blocks, χn 16 18.875 20 25 30 40 50 Representative density profiles of A and C 14

AB+B C in a square well Square lateral confinement controls and improves defectfree tetragonal ordering B χ BB N = -3.468, A χ AC N = 55.5 χn = 13.875 (A/B(B ) and C/B(B )) C attractive and A repulsive square wall Side length, L = 84R g ~ 1 μm B C L Evolution of A segment concentration 15

Overview Block Copolymer Lithography Numerical Method AB + B C (+ Confinement) AB+ A + Confinement Mixed Polymer Brushes + Confinement 16

AB + Square well Representative density profiles of A segment χn = 13.75 15.75 17 17 Tetragonal ordering is induced by the square lateral confinement during annealing stage. Lattice subsequently twists into hexagonal ordering in order to reduce the stress in the interstitial sites. f A = 0.7 A-attractive square well L = 14 R g 17

AB + A + Square well Total A-segment density profiles A homopolymer segment concentration f A = 0.7 L = 23 R g B wetting wall α =1.75 (N Ah /N) V Ah = 0.23 α = N Ah /N L 18

Phase Diagrams f A = 0.7, A attractive wall condition fixed α = 2.1 (N Ah /N) 19

Robustness on Line Edge Roughness Perturbation on the wall Order parameter A. Onikoyi, E. J. Kramer (2008) Tetragonal Ordering Defective 2 Present system Reference system (Tetragonal Ordering) 20

Robustness on Line Edge Roughness Perturbation on the wall Tetragonal Ordering Defective = 0 0.5 1 (R g ) L =16 (R g ) 21

AB + A + 60 Bends f A = 0.5, L = 18 R g AB + neutral wall AB + A-attractive wall + A (α = 0.5 (N Ah /N), V_Ah=0.2) M. P.Stoykovich et al. Materials today. 2006, 9(9), 20 22

Overview Block Copolymer Lithography Numerical Method AB + B C (+ Confinement) AB+ A + Confinement Mixed Polymer Brushes + Confinement 23

Mixed Polymer Brushes Collaboration with Sandia National Lab. Predict phase-separated morphologies and mechanisms Understand how the system parameters affect the feasibility of targeted pattern. ~ μm ~ nm Project Proposal of Sandia National Lab. 24

Laterally Confined Polymer Brush Simulation domain: mixed polymer brushes region only Prefixed narrow pure polymer brush wall in lateral direction Virtual wall in z-direction, including substrate and surface interaction Sine basis simulation Delta function initial condition of propagator at the grafting point at z= dz one step analytic extension Non-uniform grafting density over the substrate due to lateral wall 25

Surface Interaction f A = 0.5 χ AB N= 12 0 Increasing surface attraction, χ w(top) N 12 16 20 Doubling grafting density 26

Lateral Confinement Increase N B (=1.5 N A ) f A = 0.5 χ AB N= 12 Turn on the B- attractive wall on the side, χ W N= -12 Turn on the B- attractive wall on the side 27

Ripple Phase in 3D 3R g Usov et al, Macromolecules, 2007 30 R g Laterally confined by pure brush region 28

Evolution of Long-ranged Defect-free Structure Pattern size ~ 56 R g 3R g Evolution and self-healing of long-ranged ordering 29

Conclusions Phase diagram of AB+B C helps us understand to important parameters in designing systems which will produce a square lattice. Confinement helps AB+B C in generating and controlling square ordering. AB + A + confinement can generate square lattice and non-regular structures. Mixed brushes phase separation can be controlled using a new graphoepitaxy-type technique. 30