Meet SCGSR Awardee Gavin Nop

image of two people seated: CMI project lead Durga Paudyal (right) is mentoring Iowa State University doctoral student Gavin Nop (left) through the U.S. Department of Energy Office of Science Graduate Student Research (SCGSR) Award. 
CMI project lead Durga Paudyal (right) is mentoring Iowa State University doctoral student Gavin Nop (left) through the U.S. Department of Energy Office of Science Graduate Student Research (SCGSR) Award.

CMI project lead Durga Paudyal is mentoring Iowa State University doctoral student Gavin Nop through the U.S. Department of Energy Office of Science Graduate Student Research (SCGSR) Award. 

The Department of Energy’s (DOE’s) Office of Science has selected 87 graduate students representing 33 states for the Office of Science Graduate Student Research (SCGSR) program’s 2022 Solicitation 2 cycle. 

“The SCGSR program provides a way for graduate students to enrich their scientific research by engaging with researchers at DOE national labs, learning from world-class scientists and using state-of-the-art equipment and facilities. In addition, they get valuable opportunities to network and observe firsthand what it’s like to have a scientific career,” said Asmeret Asefaw Berhe, Director of the DOE Office of Science. “I can’t wait to see what these young researchers do in the future. I know they will meet upcoming scientific challenges in new and innovative ways.”

One awardee has a CMI connection: Gavin Nop is a doctoral student in mathematics at Iowa State University who will work with CMI project lead Durga Paudyal on rare earth magnetism and rare earth quantum information science.

Nop’s project, “Predicting magnetism from ab initio, machine learning, and micromagnetic modeling,” will contribute to the effort to find a new champion permanent magnet material. He explained that his project “applies traditional ab initio and microstructural modeling together with modern machine learning based data science to determine the magnetic characteristics of new materials.”

Paudyal explains that this is closely related to CMI, but is separate from current CMI projects. Paudyal says: “The machine learning developments that come from Nop’s proposed research will have a positive impact on materials discovery and properties optimization, one of the Ames National Laboratory’s research priorities.”

The SCGSR program is designed to prepare graduate students for science, technology, engineering, or mathematics careers that are critically important to the DOE Office of Science mission. SCGSR award recipients are selected based on academic accomplishments and the merit of a proposed research project. Their proposed research needs to address priority research areas identified by the DOE Office of Science.

Details about eligibility are noted HERE and key dates are noted HERE.