Deep learning for characterizing the self-assembly of three-dimensional colloidal systems
| Title: | Deep learning for characterizing the self-assembly of three-dimensional colloidal systems |
|---|---|
| Authors: | O’Leary, Jared; Mao, Runfang; Pretti, Evan J.; Paulson, Joel A.; Mittal, Jeetain; Mesbah, Ali |
| Contributors: | Basic Energy Sciences |
| Source: | Soft Matter ; volume 17, issue 4, page 989-999 ; ISSN 1744-683X 1744-6848 |
| Publisher Information: | Royal Society of Chemistry (RSC) |
| Publication Year: | 2021 |
| Description: | Creating a systematic framework to characterize the structural states of colloidal self-assembly systems is crucial for unraveling the fundamental understanding of these systems' stochastic and non-linear behavior. |
| Document Type: | article in journal/newspaper |
| Language: | English |
| DOI: | 10.1039/d0sm01853h |
| Availability: | https://doi.org/10.1039/d0sm01853h; http://pubs.rsc.org/en/content/articlepdf/2021/SM/D0SM01853H |
| Rights: | http://rsc.li/journals-terms-of-use#chorus |
| Accession Number: | edsbas.8BED696F |
| Database: | BASE |