Generative Design of Thermoset Shape Memory Polymers Driven by Chemical Group: A Conditional Variational Autoencoder Approach

Borun Das; Andrew Peters; Guoqiang Li; Xiali Hei

doi:10.1002/pol.20240649

Generative Design of Thermoset Shape Memory Polymers Driven by Chemical Group: A Conditional Variational Autoencoder Approach

Borun Das
, Andrew Peters
, Guoqiang Li
, Xiali Hei

University of Louisiana at Lafayette
Louisiana Tech University
Louisiana State University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1334-1344
Number of pages	11
Journal	Journal of Polymer Science
Volume	63
Issue number	6
DOIs	https://doi.org/10.1002/pol.20240649
State	Published - Mar 15 2025
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus Subject Areas

Physical and Theoretical Chemistry
Polymers and Plastics
Materials Chemistry

Keywords

additive manufacturing
chemical group driven
conditional variational autoencoder (CVAE)
generative AI
smart material
thermoset shape memory polymer

Access to Document

10.1002/pol.20240649

Cite this

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title = "Generative Design of Thermoset Shape Memory Polymers Driven by Chemical Group: A Conditional Variational Autoencoder Approach",

keywords = "additive manufacturing, chemical group driven, conditional variational autoencoder (CVAE), generative AI, smart material, thermoset shape memory polymer",

author = "Borun Das and Andrew Peters and Guoqiang Li and Xiali Hei",

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year = "2025",

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doi = "10.1002/pol.20240649",

language = "English",

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T1 - Generative Design of Thermoset Shape Memory Polymers Driven by Chemical Group

T2 - A Conditional Variational Autoencoder Approach

AU - Das, Borun

AU - Peters, Andrew

AU - Li, Guoqiang

AU - Hei, Xiali

PY - 2025/3/15

Y1 - 2025/3/15

KW - additive manufacturing

KW - chemical group driven

KW - conditional variational autoencoder (CVAE)

KW - generative AI

KW - smart material

KW - thermoset shape memory polymer

UR - https://www.scopus.com/pages/publications/105001084331

UR - https://www.scopus.com/pages/publications/105001084331#tab=citedBy

U2 - 10.1002/pol.20240649

DO - 10.1002/pol.20240649

M3 - Article

AN - SCOPUS:105001084331

SN - 2642-4150

VL - 63

SP - 1334

EP - 1344

JO - Journal of Polymer Science

JF - Journal of Polymer Science

IS - 6

ER -

Generative Design of Thermoset Shape Memory Polymers Driven by Chemical Group: A Conditional Variational Autoencoder Approach

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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