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Title: Galaxy Morphology Network: A Convolutional Neural Network Used to Study Morphology and Quenching in ∼100,000 SDSS and ∼20,000 CANDELS Galaxies
Award ID(s):
1715512
NSF-PAR ID:
10168614
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
The Astrophysical Journal
Volume:
895
Issue:
2
ISSN:
1538-4357
Page Range / eLocation ID:
112
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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  1. Abstract

    Polybutadiene (PB), poly(tetramethylene oxide) (PTMO), and polydimethylsiloxane (PDMS) networks are synthesized using relatively low wt% of dynamic hydroxyurethane cross‐links, and recovery of cross‐link density, network morphology, and properties are investigated as a function of reprocessing. PB and PTMO networks exhibit full recovery of rubbery plateau modulus, and thus cross‐link density, and tensile properties after multiple melt‐state recycling steps. PDMS networks exhibit a small loss in rubbery plateau modulus with reprocessing. Small‐angle X‐ray scattering reveals nanophase separation in PB and PDMS networks. Although PTMO networks are not nanophase separated, cold crystallization is observed, with crystallinity increasing after reprocessing because of chain alignment. This work establishes the effective use of hydroxyurethane cross‐links toward full property recovery in different networks and provides insights on the design of reprocessable networks with distinctive morphology and sustainability.

     
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