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Rice University researchers pioneer climatetech breakthroughs in clean water nanotechnology

Decades of research have culminated in the creation of the Water Technologies Entrepreneurship and Research (WaTER) Institute at Rice University. Photo via Pexels

Researchers at Rice University are making cleaner water through the use of nanotech.

Decades of research have culminated in the creation of the Water Technologies Entrepreneurship and Research (WaTER) Institute launched in January 2024 and its new Rice PFAS Alternatives and Remediation Center (R-PARC).

“Access to safe drinking water is a major limiting factor to human capacity, and providing access to clean water has the potential to save more lives than doctors,” Rice’s George R. Brown Professor of Civil and Environmental Engineering Pedro Alvarez says in a news release.

The WaTER Institute has made advancements in clean water technology research and applications established during a 10-year period of Nanotechnology Enabled Water Treatment (NEWT), which was funded by the National Science Foundation. R-PARC will use the institutional investments, which include an array of PFAS-dedicated advanced analytical equipment.

Alvarez currently serves as director of NEWT and the WaTER Institute. He’s joined by researchers that include Michael Wong, Rice’s Tina and Sunit Patel Professor in Molecular Nanotechnology, chair and professor of chemical and biomolecular engineering and leader of the WaTER Institute’s public health research thrust, and James Tour, Rice’s T.T. and W.F. Chao Professor of Chemistry and professor of materials science and nanoengineering.

“We are the leaders in water technologies using nano,” adds Wong. “Things that we’ve discovered within the NEWT Center, we’ve already started to realize will be great for real-world applications.”

The NEWT center plans to equip over 200 students to address water safety issues, and assist/launch startups.

“Across the world, we’re seeing more serious contamination by emerging chemical and biological pollutants, and climate change is exacerbating freshwater scarcity with more frequent droughts and uncertainty about water resources,” Alvarez said in a news release. “The Rice WaTER Institute is growing research and alliances in the water domain that were built by our NEWT Center.”

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This article originally ran on InnovationMap.

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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