most citedA deep learned nanowire segmentation model using synthetic data augmentation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2025

Deep learning-enabled large-scale analysis of particle geometry-lithiation correlations in battery cathode materials

Binbin Lin, Luis J. Carrillo, Xiang-Long Peng +4

A deep learning model is employed to address the challenging problem of V2O5 nanoparticle segmentation and the correlation between the chemical composition and the geometrical feat…

physics.data-an2021★ 1 cited

A deep learned nanowire segmentation model using synthetic data augmentation

Binbin Lin, Nima Emami, David A Santos +3

Automatized object identification and feature analysis of experimental image data are indispensable for data-driven material science; deep-learning-based segmentation algorithms ha…