Seeking regularity from irregularity: unveiling the synthesis–nanomorphology relationships of heterogeneous nanomaterials using unsupervised machine learning
Abstract
Shape fingerprint functions and unsupervised machine learning are used to classify and analyze nanomaterial morphologies from 2D and 3D TEM data.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2022
- Source ID
- 10.1039/d2nr03712b
Entities
People
- Ahyoung Kim
- Erik Luijten
- Hyosung An
- Lehan Yao
- Qian Chen
- Shan Zhou
Organizations
- Chonnam National University
- Northwestern University
- United States Department of Energy
- University of Illinois Urbana–Champaign