Predicting Colloidal Interaction Parameters from Small-Angle X-ray Scattering Curves Using Artificial Neural Networks and Markov Chain Monte Carlo Sampling

Kelvin Wong, Runzhang Qi, Ye Yang, Zhi Luo, Stefan Guldin, Keith T. Butler

Keywords: small-angle scattering, structure factor, colloidal interactions, machine learning, Markov chain Monte Carlo sampling

TL;DR: This work uses an artificial neural network trained on simulated experimental data to predict colloidal interaction.

Confirmation Of Submission Requirements: I submit a previously published paper. It was published in an archival peer–reviewed venue on or after September 8th 2024, I specify the DOI in the field below, and I submit the camera-ready version of the paper.

DOI: https://doi.org/10.1021/jacsau.4c00368

Submission Number: 205