NEWS RELEASES

A team of researchers at the Ming Hsieh Department of Electrical and Computer Engineering at USC has created a new breakthrough in photonics: the design of the first optical device that follows the emerging framework of optical thermodynamics. The work, reported in Nature Photonics, introduces a fundamentally new way of routing light in nonlinear systems—meaning systems that do not require switches, external control, or digital addressing. Instead, light naturally finds its way through the device, guided by simple thermodynamic principles. The implications of the new approach extend far beyond the laboratory. As computing and data processing continue to push the limits of traditional electronics, various companies—including chip designers —are exploring optical interconnects as a way to move information faster and more efficiently. By providing a natural, self-organizing way to direct light signals, however, optical thermodynamics could accelerate the development of such technologies. Beyond chip-scale data routing, the framework may also influence telecommunications, high-performance computing, and even secure information processing, offering a path toward devices that are both simpler and more powerful.

To increase energy efficiency and reduce the carbon footprint of hydrogen fuel production, Fanglin Che, associate professor in the Department of Chemical Engineering at Worcester Polytechnic Institute, is leveraging the power and potential of machine learning and computational modeling. The multi-university team she leads has completed a research study that was just published in Nature Chemical Engineering.

The University of Rochester’s 110-year-old chemical engineering department recently changed its name to the Department of Chemical and Sustainability Engineering, signaling the disciplines are closely intertwined and central to delivering affordable, reliable, and secure technologies with lower impacts on air, water, land, and communities. 

Four physicists from Rice University have received a $4.4 million grant over three years from the U.S. Department of Energy to establish the Rice Laboratory for Emergent Magnetic Materials (RLEMM). This new research center will investigate the fundamental interactions of magnetism and its role in next-generation technologies.

A new AI can fill in missing sensor data for fusion systems, offering even more detail than the real-world sensor could have provided. The AI, known as Diag2Diag, could prove essential for commercial fusion energy production by helping to reduce costs and ensure reliability. Diag2Diag also provided new support for a leading theory about controlling plasma disruptions, bringing us closer to using fusion to generate electricity for the power grid. Researchers from the U.S. Department of Energy’s Princeton Plasma Physics Laboratory and Princeton University were part of an international team behind the research, which was recently published in Nature Communications.

A team of researchers from the University of Minnesota Twin Cities College of Science and Engineering and the University of Houston’s Cullen College of Engineering has discovered and measured the fraction of an electron that makes catalytic manufacturing possible. This discovery provides insight for designing new breakthrough catalytic materials that could lead to more efficient and lower-cost manufacturing of fuels and chemicals.