One of the original inventors of metamaterials and a continued pillar in the field, Smith will seek to address a growing challenge in space situational awareness: monitoring the increasing population of satellites and other objects in space.
Metamaterials are essentially engineering materials that receive unusual properties through their structure rather than just their chemistry. For example, a coil of copper wire with a magnet rotating inside will create an electric current, whereas a straight copper wire won’t. Or a smooth sheet of silver is reflective, while a surface coated with tiny silver spheres is black.
An OpenAI imagination of what a robotically assembled metamaterial detector might look like in space. The spherical detector is enlarged from its actual scale at the L2 position.
In this application, the metamaterials will act like sensors to track objects in space. Existing ground-based radar systems can track objects in low Earth orbit, but the distances involved in monitoring activity beyond low Earth orbit—including the increasingly important cislunar environment—make extremely large ground-based radar arrays impractical. Because radar performance improves with larger apertures, space-based systems could provide significant advantages, but conventional deployable antennas are constrained by the size of a rocket’s launch fairing.
A video clip produced by OpenAI showing what the robotic assembly of a metamaterial detector in space could look like.
Smith’s concept offers a different approach: rather than launching a complete, massive antenna, robots would assemble a radar system in space from modular components. The system would combine robotically assembled, mechanically stable structures with reconfigurable electromagnetic metamaterials. The modular architecture could allow radar apertures to scale far beyond the dimensions of conventional deployable antennas while providing wide-field beam steering without mechanically moving the antenna. The work draws on NASA’s Automated Reconfigurable Mission Adaptive Digital Assembly Systems (ARMADAS) project, which is developing technologies for robotic assembly of large structures in space.
Working with Smith on the project as a co-principal investigator is Christine Gregg, a reserach engineer at NASA Ames Laboratory. If successful, the concept could provide a new way to monitor objects in space, including debris and other spacecraft, while also enabling applications beyond space situational awareness such as low-frequency Earth observation and deep-space communications.
NASA’s NIAC program supports visionary, technically credible ideas that could transform future missions by enabling radically better or entirely new aerospace concepts. The program provides researchers with multiple phases of funding to explore the feasibility of concepts that could change what is possible in space exploration. The first phase provides up to $225,000 for nine months of study, with successful concepts eligible to compete for subsequent funding.
The five-year renewal will focus on developing an AI-native edge stack that supports autonomous interaction among users, agents and the physical environment, integrated with national-priority technologies such as quantum computing.
Six-year grant brings together emerging technologies from Duke, Northeastern, Yale and Raytheon to deliver electromagnetic awareness in a small, light and energy-efficient package.
The six-year industry-academia-federal project will combine several emerging technologies to develop the tools and playbook needed to master the next evolution of electronic warfare.
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