The behavior of all things in our macro world depend on a web of structural relationships which extend down to the micro-, nano-, molecular, and quantum scales. To solve engineering's toughest challenges, an understanding the dynamics across every scale is crucial.

Utilizing multiphysics, quantum modeling, and machine learning algorithms, choices in materials and device design can be extensively explored and justified for application fitness before any material or instrument expenditure is made. 

Cross-Coupled Properties allow for changes in one domain (thermal/electrical/mechanical) to affect neighboring domains. By harnessing this phenomenon, materials can be tailored toward exceptional performance in sensing, energy harvesting, and computing.

The fabrication of electronic devices is as much a materials engineering problem as its design. By utilizing conventional and emerging fabrication techniques, informed by a strong materials understanding, electronic products can be produced reliably and at reasonable cost.