Automated polymer design tool integrates machine learning and molecular simulations

A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...
Nature

Machine Learning in Polymer Science and Property Prediction

Machine learning (ML) has emerged as a transformative tool in polymer science, enabling researchers to predict material properties and guide polymer design with unprecedented speed and precision.
AZOM

Applications of Machine Learning to Design Polymer-Based Dielectrics

Polymer-based dielectrics are widely used in different electrical and electronic devices like capacitors, power transmission cables, and microchips. To adapt to different working conditions, a range ...