For developing highly effective methods for uncertainty quantification, and for the evaluation of atomic spectroscopic data and its efficient dissemination through the world’s most reliable atomic databases.

For fundamental insight into the chain conformation, structure, phase separation, and interfaces of polyelectrolytes enabled by light and neutron scattering methods.

For pioneering work on applications of machine learning for automated delineation of materials phase diagrams, and for the development of novel physics-informed machine learning for closed-loop autonomous materials exploration and optimization.

Today’s infrastructure and manufacturing rely on communication and sensing networks for the transfer of actionable information using technology to make critical

Robust core networks are critical infrastructure in an economy that relies on the exchange of digital information. New technologies, now in research and

For creation of a revolutionary GDSII CAD design program and fundamental contributions to the understanding of surface functionalization, chemical & biological sensing, dissipation and non-linear dynamics of interacting nanoelectromechanical systems.