Innovations in robotics technology at the convergence of digital and intelligent automation in support of advanced manufacturing and materials discovery.

This focus area’s projects employ life-cycle assessment, techno-economic analyses and risk analyses to ensure our nation’s water sustainability.

In this area, Argonne is developing affordable chemical and biological sensors that monitor water quality in polluted areas and control methods for water-related processes such as fouling of surfaces.

This focus area involves developing functional groups, sorbents, membranes and catalysts for selective separation of various contaminants from water.

Projects in this area focus on developing accurate and efficient physics-based models, artificial intelligence/machine learning (AI/ML) algorithms and simulation software to advance the study of water and aqueous solutions.

Argonne’s water-related materials projects focus on developing and characterizing various materials such as membranes, sorbents and catalysts relevant to water monitoring, treatment, conveyance and reuse, and water-enabled energy production.

This focus area concerns the scaleup of materials manufacturing and processing, including data-enabled cyber-manufacturing.

Argonne’s Computational Science Division develops state-of-the-art software codes to simulate flows ranging from low subsonic to hypersonic on massively parallel computing platforms.

Printed electronic devices (PED) hold significant promise for being able to meet the demand for devices that are smaller, smarter, cheaper, more flexible, in-situ, and require less power.

In this area, Argonne is harnessing various quantum mechanical features to perform highly sensitive measurements. Potential applications include imaging brain function, searching for gravitational waves, and hunting for dark matter.