Inferring colloidal interaction from scattering by machine learning

A machine learning solution for the potential inversion problem in elastic scattering is outlined. The inversion scheme consists of two major components, a generative network featuring a variational autoencoder which extracts the targeted static two-point correlation functions from experimentally me...

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Bibliographic Details
Main Authors: Chi-Huan Tung, Shou-Yi Chang, Ming-Ching Chang, Jan-Michael Carrillo, Bobby G Sumpter, Changwoo Do, Wei-Ren Chen
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Carbon Trends
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266705692300007X