Directed self-assembly of block copolymers: a tutorial review of strategies for enabling nanotechnology with soft matter
Self-assembly of soft materials is broadly considered an attractive means of generating
nanoscale structures and patterns over large areas. However, the spontaneous formation of …
nanoscale structures and patterns over large areas. However, the spontaneous formation of …
25th anniversary article: ordered polymer structures for the engineering of photons and phonons
The engineering of optical and acoustic material functionalities via construction of ordered
local and global architectures on various length scales commensurate with and well below …
local and global architectures on various length scales commensurate with and well below …
[HTML][HTML] Inverse methods for design of soft materials
Functional soft materials, comprising colloidal and molecular building blocks that self-
organize into complex structures as a result of their tunable interactions, enable a wide array …
organize into complex structures as a result of their tunable interactions, enable a wide array …
Directed self-assembly of block copolymers by chemical or topographical guiding patterns: Optimizing molecular architecture, thin-film properties, and kinetics
W Li, M Müller - Progress in Polymer Science, 2016 - Elsevier
Patterning strategies based on directed self-assembly (DSA) of block copolymers, as one of
the most appealing next-generation lithography techniques, have attracted abiding interest …
the most appealing next-generation lithography techniques, have attracted abiding interest …
Process-directed self-assembly of copolymers: Results of and challenges for simulation studies
M Müller - Progress in Polymer Science, 2020 - Elsevier
Process-directed self-assembly refers to processes that reproducibly trap the kinetics of
structure formation that ensues after a sudden change (“quench”) of the thermodynamic …
structure formation that ensues after a sudden change (“quench”) of the thermodynamic …
Neural-network-biased genetic algorithms for materials design: evolutionary algorithms that learn
TK Patra, V Meenakshisundaram… - ACS combinatorial …, 2017 - ACS Publications
Machine learning has the potential to dramatically accelerate high-throughput approaches
to materials design, as demonstrated by successes in biomolecular design and hard …
to materials design, as demonstrated by successes in biomolecular design and hard …
Defects in the self-assembly of block copolymers and their relevance for directed self-assembly
W Li, M Müller - Annual review of chemical and biomolecular …, 2015 - annualreviews.org
Block copolymer self-assembly provides a platform for fabricating dense, ordered
nanostructures by encoding information in the chemical architecture of multicomponent …
nanostructures by encoding information in the chemical architecture of multicomponent …
Using particle swarm optimization and self-consistent field theory to discover globally stable morphologies of block copolymers
CL Tsai, GH Fredrickson - Macromolecules, 2022 - ACS Publications
We present a method for agnostically determining the globally stable and low-lying
metastable mesophases of block copolymers by combining particle swarm optimization …
metastable mesophases of block copolymers by combining particle swarm optimization …
Silicon-containing block copolymers for lithographic applications
This comprehensive review, summarizes recent advances in the fabrication of well-ordered
block copolymer (BCP) thin films by different methods, focusing on the development of …
block copolymer (BCP) thin films by different methods, focusing on the development of …
Comparison of technologies for nano device prototy** with a special focus on ion beams: A review
L Bruchhaus, P Mazarov, L Bischoff, J Gierak… - Applied Physics …, 2017 - pubs.aip.org
Nanotechnology is a term for analyzing or artificially creating features with at least one
physical dimension below 100 nanometer (nm), which is 1 Â 10À7 m or 10 millions of a …
physical dimension below 100 nanometer (nm), which is 1 Â 10À7 m or 10 millions of a …