Machine Learning-Enhanced Multiscale Simulations for Soft Material Modeling
The Wang Lab focuses on:
Multiscale simulations of soft materials, including organic semiconductors, biomaterials, and polymers.
Leverage machine learning (ML) techniques for the prediction of molecular and electronic properties.
Develop data-driven approaches for the structural and morphological characterization of soft materials.
Investigate structure-performance relationships to advance the design and optimization of soft materials.
Establish molecular conformation dataset