Argonne National Laboratory

CNM Strategic Plan

As a Department of Energy (DOE) funded research center, the CNM is at the forefront of discovery science that addresses national grand challenges encompassing the topics of energy, information, materials and the environment. The Center is also a vibrant member of the Argonne National Laboratory’s scientific community, fully invested in the Laboratory’s key  initiatives for advanced materials and chemistry, and research partnerships with other DOE user facilities at Argonne such as the Advanced Photon Source (APS) and the Argonne Leadership Computing Facility (ALCF). The scientific strategy of the CNM is consolidated under the following three crosscutting and interdependent scientific themes.  Collectively, they aim at the discovery and hierarchical integration of materials across different length scales, at the extremes of temporal, spatial, and energy resolutions:

I) Quantum materials and phenomena: The goal of this theme is to combine CNM’s expertise in synthesis, fabrication, characterization and theory on nanometer length scales to discover fundamental mechanisms and materials for quantum sensing and information.

II) Manipulating nanoscale interactions: Our goal here is to study and manipulate the forces, the interactions, and the energy dissipation between nanoscale and atomic constituents at interaction lengths that vary from distant (~10 nm), to the atomic scale. 

III) Synthesis of nano-architectures for energy, information and functionality: This theme aims to combine synthesis and nanofabrication across different scales to achieve energy efficiency, novel methods of energy transduction and new functional behavior in materials. 

Embedded within these three themes, and supporting them are the vector capabilities of X-ray microscopy, electron microscopy, and computational materials science. The themes include requiring detailed atomic understanding of temporal and spatial structural response to applied stimuli, a central theme in the Electron and X-ray Microscopy effort. Computational materials science activity is assuming a leadership position in combing first principles physics and machine learning for new materials discovery related to all of the themes.

Posted March 2017