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Microorganisms with extreme abilities have laid the groundwork for decades of biotechnologies from the PCR technique that enables amplification of DNA for diagnostics and drug development to the gene editing tool CRISPR, and now researchers supported by the U.S. National Science Foundation have found a trove of these microbes in a somewhat unlikely location — the Gowanus Canal in Brooklyn. The team identified more than 450 species with over 60 different biochemical pathways to deal with pollutants and 1,171 genes that can aid in processing heavy metals, offering potential for bio-based and cheaper methods of industrial clean-up, the costs of which are estimated to be more than $645 billion.

The Gowanus Canal is a contaminated waterway in Brooklyn that has high concentrations of petrochemicals and heavy metals. The researchers, including Sergios-Orestis Kolokotronis of the SUNY Downstate Health Sciences University, collected soil samples at 14 locations along the 1.8-mile-long canal and deep sediment core samples and analyzed them using genomic sequencing and bioinformatics. Understanding the genetic sequences and metabolic pathways of the organisms identified will allow researchers to develop faster methods of what the microbes can do naturally.

“We have seen the power of extremophiles used in medicine and industry, and this new analysis expands the biological adaptations we can harness for societal benefit,” said Joanna Shisler, program director in the NSF Directorate for Biological

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The U.S. National Science Foundation Zettawatt-Equivalent Ultrashort pulse laser System (NSF ZEUS) laser facility at the University of Michigan now has the most powerful laser in the U.S., with roughly double the peak power of any other laser in the country. Researchers at NSF ZEUS achieved a laser pulse of two petawatts (2 quadrillion watts) in a brief pulse that lasted 25 quintillionths of a second. In that moment, the laser exceeded the total global output of electrical power by more than 100 times.

The NSF ZEUS laser is available to scientists across the U.S. for experiments in a range of fields, including quantum physics and plasma science with potential applications in medicine, national security, materials science and more.

“The fundamental research done at the NSF ZEUS facility has many possible applications, including better imaging methods for soft tissues and advancing the technology used to treat cancer and other diseases,” said Vyacheslav Lukin, program director in the NSF Division of Physics, which oversees the ZEUS facility. “Scientists using the unique capabilities of ZEUS will expand the frontiers of human knowledge in new ways and provide new opportunities for American innovation and economic growth.”

Credit: Marcin Szczepanski, Michigan Engineering

John Nees (left) and laser engineer Paul Campbell work where the first two-petawatt user

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The United States semiconductor industry is projected to have between 60,000 and 100,000 unfilled jobs by 2030. As the need for semiconductor technicians, engineers and scientists continues to increase, there is also a growing demand for innovative ways to train this anticipated workforce. But such training typically requires expensive clean rooms and advanced equipment, resources that many schools don’t have access to.

A team of researchers, which included high school and community college students, found a solution to this challenge by using artificial intelligence-powered virtual reality (VR) to create simulations as a cost-effective alternative for people to learn about the process of semiconductor fabrication. The results of their research, which is supported by the U.S. National Science Foundation Advanced Technological Education Micro Nano Technology Education Center at Pasadena City College (PCC), in collaboration with the University of California, Irvine (UCI), are available in the Journal of Advanced Technological Education.

“Many students, especially those at underfunded schools, never get to see or touch the real semiconductor fabrication tools,” said Kristal Hong, a member of the research team and a computer science major at UCI. “I, myself, was a community college student without access to a cleanroom, so I know how that gap can dampen student enthusiasm.”

By using AI-powered VR to create cleanroom simulations, the team is offering a learning channel outside of traditional classrooms and

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