✦ LIBER ✦

Effect of large polar side groups on the glass transition temperature of acrylic copolymers

✍ Scribed by Gallardo, Alberto; San Roman, Julio

Book ID: 118273160
Publisher: American Chemical Society
Year: 1993
Tongue: English
Weight: 682 KB
Volume: 26
Category: Article
ISSN: 0024-9297
DOI: 10.1021/ma00066a029

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Tailoring the swelling and glass-transit

Tailoring the swelling and glass-transition temperature of acrylonitrile/hydroxyethyl acrylate copolymers

✍ Bengi Aran; Mehmet Sankır; Elif Vargün; Nurdan D. Sankır; Ali Usanmaz 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 426 KB 👁 2 views

Effect of microstructure on the glass tr

Effect of microstructure on the glass transition temperature of ethylene-propylene copolymers

✍ R.M. Aliguliev; V.A. Oganyan; V.B. Yurkhanov; Kh.D. Ibragimov 📂 Article 📅 1987 🏛 Elsevier Science ⚖ 299 KB

Effect of the Glass-Transition Temperatu

Effect of the Glass-Transition Temperature on Film Formation in 2-Ethylhexyl Acrylate/Methyl Methacrylate Emulsion Copolymers

✍ Cannon, Linda A.; Pethrick, Richard A. 📂 Article 📅 1999 🏛 American Chemical Society 🌐 English ⚖ 404 KB

Side-chain crystallinity. III. Influence

Side-chain crystallinity. III. Influence of side-chain crystallinity on the glass transition temperatures of selected copolymers incorporating n-octadecyl acrylate or vinyl stearate

✍ Jordan, Edmund F. 📂 Article 📅 1971 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 653 KB

Effect of the curing cycle on acrylic de

Effect of the curing cycle on acrylic denture base glass transition temperatures

✍ Jerolimov, V.; Jagger, R.G.; Milward, P.J. 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 476 KB

QSPR Analysis of Copolymers by Recursive

QSPR Analysis of Copolymers by Recursive Neural Networks: Prediction of the Glass Transition Temperature of (Meth)acrylic Random Copolymers

✍ Carlo Giuseppe Bertinetto; Celia Duce; Alessio Micheli; Roberto Solaro; Maria Ro 📂 Article 📅 2010 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 571 KB

## Abstract The glass transition temperature (__T__~g~) of acrylic and methacrylic random copolymers was investigated by means of Quantitative Structure‐Property Relationship (QSPR) methodology based on Recursive Neural Networks (RNN). This method can directly take molecular structures as input, in