Inverse design of polymer alloys using deep learning based on self-consistent field analysis and finite element analysis
Authors:
- Kazuya HiraideKHKazuya Hiraide
- Yutaka OyaYOYutaka Oya
- Misato SuzukiMSMisato Suzuki
- Mayu MuramatsuMMMayu Muramatsu
- 7 October 2023
- journal article
- research article
- Published by Elsevier in Materials Today Communications
- Vol. 37
Abstract
No abstract availableKeywords
Funding Information
- Japan Science and Technology Agency
- Council for Science, Technology and Innovation
- Swine Innovation Porc
This publication has 43 references indexed in Scilit:
- Block copolymer template-directed synthesis of well-ordered metallic nanostructuresPolymer, 2013
- Stress–Strain Behavior, Elastic Recovery, Fracture Points, and Time–Temperature Superposition of an OOT-Possessing Triblock CopolymerMacromolecules, 2011
- Microdomain control in block copolymer-based supramolecular thin films through varying the grafting density of additivesSoft Matter, 2011
- Phase Behavior and Temperature-Responsive Molecular Filters Based on Self-Assembly of Polystyrene-block-poly(N-isopropylacrylamide)-block-polystyreneMacromolecules, 2007
- Block copolymers in tomorrow's plasticsNature Materials, 2005
- Combinatorial Screening of Complex Block Copolymer Assembly with Self-Consistent Field TheoryPhysical Review Letters, 1999
- Stable and unstable phases of a diblock copolymer meltPhysical Review Letters, 1994
- Effects of microdomain structures on the molecular orientation of poly(styrene-block-butadiene-block-styrene) triblock copolymerMacromolecules, 1993
- Bicontinuous microdomain morphology of block copolymers. 1. Tetrapod-network structure of polystyrene-polyisoprene diblock polymersMacromolecules, 1987
- Thermodynamic interpretation of domain structure in solvent‐cast films of A–B type block copolymers of styrene and isopreneJournal of Polymer Science Part A-2: Polymer Physics, 1969