Drexel’s Center for Metadata Research will join 10 partner institutions in a new National Science Foundation effort to provide data tools that support materials science research and development.
Drexel University’s Metadata Research Center at the College of Computing & Informatics is one of 10 research partners that will be part of a new $ 15 million project Effort of the National Science Foundation harness the power of data science and artificial intelligence to guide materials science research.
The last two decades have seen an acceleration in the search for new materials with exceptional capacities. From graphene and carbon nanotubes to Drexel’s own contribution MXenes, scientists are discovering new ways to create chemically stable materials that work exceptionally well in functions such as energy storage, filtration of water and air and radio wave transmission. But with seemingly endless promises, comes the challenge of narrowing down the real paths to progress.
The goal of the NSF Institute for Data-Driven Dynamical Research is to bring together the best experimentally validated approaches and tools to design and study these materials and structures.
“The volume of data generated every day by materials science researchers offers an unprecedented opportunity for new discoveries and shared approaches, but the data is too massive to be processed on its own,” said Jane Greenberg, PhD, Alice B. Kroeger Professor at the College of Computing & Informatics and Director of the Metadata Research Center (MRC) at Drexel. “The collaborative and multidisciplinary approach adopted by this institute represents a paradigm shift from traditional materials research efforts. “
Led by the Colorado School of Mines, the Institute will focus on novel representations and learning architectures that capture the temporal evolution of complex materials, effective exploration of time-dependent design spaces, and new tools for visual analysis. to integrate human feedback into the design process.
“Drexel University’s Metadata Research Center will lead the advancement of the functionality of ontological systems in materials science. Ontologies, as structured knowledge systems, support automatic reasoning and can enhance AI applications. Drexel researchers will advance the HIVE-4-MAT ontology integration application by applying information extraction methods to create richer knowledge structures to support predictive analytics. said Greenberg.
In addition to the Colorado School of Mines and Drexel’s Metadata Research Center, research groups from Harvard University, Northeastern University, Northwestern University, Tufts University, University of Illinois at Urbana-Champaign, University of Central Florida, University Washington-St. Louis and his industry partner Kebotix, Inc. will work together to develop algorithms and mechanisms that will give researchers better tools to predict and understand the behavior of new materials.
“We are extremely proud of the Metadata Research Center’s participation in this groundbreaking NSF institute and, thanks to the exceptional leadership of Dr Jane Greenberg, their involvement reflects their continued and invaluable contribution to innovations in data science,” said Yi Deng, PhD, Isaac L. Auerbach Professor and Dean of the College of Computing & Informatics.
The MRC has been a leader in innovative solutions for pressing information and data challenges in the scientific, social and humanistic fields since its founding in 2004. In addition to leading the MRC, Greenberg is the project leader for the NSF Harnessing the Project Data Revolution “Accelerate the discovery of electronic materials through active human-machine research,” which is the basic grant for the new Institute.
Greenberg’s group will also support the Data-Driven Dynamical Design Institute’s goal of helping researchers accurately and effectively share knowledge and new findings across disciplines. As an active participant at national and global level Research Data Alliance and member of the NSF Northeast Big Data Innovation Hub, the MRC will work with these organizations to implement FAIR Data Principles through the Institute and share these data sharing approaches more widely with the research data community.
The Data-Driven Dynamical Design Institute is one of five new Exploit the institutes of data revolution, funded by a $ 75 million NSF program to enable new modes of data-driven discovery that will explore fundamental questions at the frontiers of science and engineering.
In addition to Greenberg, professor at the College of Computing & Informatics Xiaohua Hu, PhD, Associate Professor Yuan An, PhD and doctoral student Xintong Zhao will participate in the collaboration.