A machine learning inversion scheme for determining interaction from scattering
oleh: Ming-Ching Chang, Chi-Huan Tung, Shou-Yi Chang, Jan Michael Carrillo, Yangyang Wang, Bobby G. Sumpter, Guan-Rong Huang, Changwoo Do, Wei-Ren Chen
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-02-01 |
Deskripsi
Gels, foams, and paints fall into a class of soft matter materials with widespread usage in modern technologies. This paper combines machine learning and spectral analysis techniques to develop a toolbox to model the complex interactions in this family of materials, which allows to quantitatively extract the system parameters from data.