Work

Prediction of Diblock Copolymer Lamellar Morphologies in 3D and Complex Geometry via Machine Learning

Year: 2023

Type: dataset

Abstract: 3d morphology evolution of diblock copolymer via 3D UNet. Manuscript: Prediction of Diblock Copolymer Lamellar Morphologies in 3D and Complex Geometry via Machine Learning

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7888461

Authors: Park, Hyun, Yu, Boyuan, Park, Juhae, Sun, Ge, Tajkhorshid, Emad, de Pablo, Juan, Schneider, Ludwig

Institutions: University of Illinois Urbana-Champaign, University of Chicago

Language: English

Topic: Block Copolymer Self-Assembly

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4394052696

Cites:

Cited by:

Related to: 10