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Rice names new leader for prestigious nanotechnology, materials science institute

Junichiro Kono has assumed leadership of the Smalley-Curl Institute at Rice University. Photo via Rice.edu

A distinguished Rice University professor has assumed the reins of a unique institute that focuses on research within nanoscience, quantum science, and materials science.

Junichiro Kono has assumed leadership of the Smalley-Curl Institute, which houses some of the world’s most accomplished researchers across fields including advanced materials, quantum magnetism, plasmonics and photonics, biophysics and bioengineering, all aspects of nanoscience and nanotechnology, and more.

“With his great track record in fostering international research talent — with student exchange programs between the U.S., Japan, Taiwan, China, Singapore and France that have introduced hundreds of students to new cultures and ways of researching science and engineering — Jun brings a wealth of experience in building cultural and technological ties across the globe,” Ramamoorthy Ramesh, executive vice president for research, says in a news release.

Kono is the Karl F. Hasselmann Professor in Engineering, chair of the Applied Physics Graduate Program and professor of electrical and computer engineering, physics and astronomy and materials science and nanoengineering, and is considered a global leader in studies of nanomaterials and light-matter interactions. He currently leads Rice’s top 10-ranked Applied Physics Graduate Program.

Under his leadership, the program is expected to double in size over. By 2029. The Smalley-Curl Institute will also add additional postdoctoral research fellowships to the current three endowed positions.

The Smalley-Curl Institute is named for Nobel Laureates Richard Smalley and Robert Curl (‘54). Earlier in his career, Kono once worked with Smalley on the physical properties of single-wall carbon nanotubes (SWCNTs), which led to the experimental discovery of the Aharonov-Bohm effect on the band structure of SWCNTs in high magnetic fields.

“I am deeply honored and excited to lead the Smalley-Curl Institute,” Kono says in a news release. “The opportunity to build upon the incredible legacy of Richard Smalley and Robert Curl is both a privilege and a challenge, which I embrace wholeheartedly. I’m really looking forward to working with the talented researchers and students at Rice University to further advance our understanding and application of nanomaterials and quantum phenomena. Together, we can accomplish great things.”

Kono succeeds Rice professor Naomi Halas as director of the institute. Halas is the Stanley C. Moore Professor of Electrical and Computer Engineering and the founding director of the Laboratory for Nanophotonics.

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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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