Work

Machine learning inversion from small-angle scattering for charged polymers

Year: 2025

Type: article

Abstract: 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.

Source: Digital Discovery

DOI: 10.1039/d5dd00038f

Authors: Lijie Ding, Chi-Huan Tung, Jan-Michael Y. Carrillo, Wei-Ren Chen, Changwoo Do

Institutions: Oak Ridge National Laboratory, Center for Nanophase Materials Sciences

Language: English

Topic: Electrostatics and Colloid Interactions

Subfield: Physical and Theoretical Chemistry

Field: Chemistry

Domain: Physical Sciences

Open Access status: diamond