Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends DOI Creative Commons

Aanish Paruchuri,

Yunfei Wang, Xiaodan Gu

et al.

Digital Discovery, Journal Year: 2024, Volume and Issue: 3(12), P. 2533 - 2550

Published: Jan. 1, 2024

In this paper, we present a new machine learning (ML) workflow with unsupervised techniques to identify domains within atomic force microscopy (AFM) images obtained from polymer films.

Language: Английский

Identifying representative sub-domains in 3D microstructures for accelerated structure–property mapping in organic photovoltaic DOI
Nirmal Baishnab, Ankush Kumar Mishra, Olga Wodo

et al.

Computational Materials Science, Journal Year: 2024, Volume and Issue: 244, P. 113193 - 113193

Published: July 1, 2024

Language: Английский

Citations

1
Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends DOI Creative Commons

Aanish Paruchuri,

Yunfei Wang, Xiaodan Gu

et al.

Digital Discovery, Journal Year: 2024, Volume and Issue: 3(12), P. 2533 - 2550

Published: Jan. 1, 2024

In this paper, we present a new machine learning (ML) workflow with unsupervised techniques to identify domains within atomic force microscopy (AFM) images obtained from polymer films.

Language: Английский

Citations

1