Machine learning inversion from small-angle scattering for charged polymers
We develop Monte Carlo simulations for uniformly charged polymers and a machine learning algorithm to interpret the intra-polymer structure factor of the charged polymer system, which can be obtained from small-angle scattering experiments.
Authors
- Chi-Huan Tung (ORCID: https://orcid.org/0000-0002-2197-2074)
- Jan‐Michael Y. Carrillo (ORCID: https://orcid.org/0000-0001-8774-697X)
- Changwoo Do (ORCID: https://orcid.org/0000-0001-8358-8417)
- Wei‐Ren Chen (ORCID: https://orcid.org/0000-0002-5192-0777)
- Lijie Ding
Institutions
- Oak Ridge National Laboratory (US)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00038f
- Citations
- 4
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 6.54
Funders
- U.S. Department of Energy
- Battelle
- UT-Battelle
- Office of Science
- Basic Energy Sciences
- Oak Ridge National Laboratory