Hybrid ML-driven simulation exploring the fate of environmentally relevant nanoplastics in complex aqueous matrices: Mechanistic insight into colloidal behavior via explainable AI
Fields of Study & Subjects
Machine Learning in Materials Science
Block Copolymer Self-Assembly
Micro and Nano Robotics
Publication details
- Journal / source
- Water Research
- Publisher
- Elsevier BV
- Volume
- 301
- Pages
- 126016–126016
- Publication date
- 29 April 2026
- Language
- EN