Crosscut

Design through computation, theory, and materials informatics.

The crosscut goal is to leverage fundamental knowledge obtained from the Thrusts to enable the design of fast ion conducting polymer and polymer-ceramic electrolytes.

Key questions

• How can representation learning be utilized to combine experimental and simulation data to discover high-performing polymer electrolytes with superior charge transport?
• How can theoretical and computational approaches with vastly different data types be combined in an interconnected, seamless, multiscale manner to predict bulk and interfacial properties critical for fast, cooperative ion-conducting polymer-based electrolytes?