Research

NSF invests $50 million in two materials platforms for extreme-environment research

Texas A&M University and the University of Wisconsin-Madison will each host a $25 million NSF Materials Innovation Platform, while Penn State's 2D Crystal Consortium receives $4.6 million as it moves to a fee-based model.

The U.S. National Science Foundation announced on Aug. 3 a total of $50 million to stand up two new Materials Innovation Platforms focused on materials for extreme environments, with $25 million going to each platform over six years, according to the agency.

NSF described the platforms as advanced facilities that give researchers access to specialized equipment and instrumentation, open to U.S. researchers from academia and industry and including autonomous, AI-driven experimentation. Dozens of visiting scientists are selected each year through competitive review to run experiments at the platforms, and NSF estimated that 10% to 20% of visiting researchers come from universities with smaller research budgets.

At Texas A&M University, the NSF ARM-MIP combines robotics and AI in an autonomous laboratory intended to shorten the time needed to develop new alloys, the agency said, noting that developing and deploying an alloy has historically taken more than a decade. Applications listed include fuel-efficient jet turbines, vehicle armor, radiation-resistant reactor materials, corrosion-resistant bridges and biocompatible implants.

The NSF MATRIX-MIP at the University of Wisconsin-Madison will study how the chemical and structural complexity of materials affects their performance in extreme environments such as high heat and intense radiation, NSF said. The platform will use AI to predict material properties, high-throughput synthesis to make candidate materials, and measurement procedures to test them.

NSF also awarded $4.6 million over four years to the existing 2D Crystal Consortium platform at Pennsylvania State University, which the agency said it has supported for a decade and which is transitioning to a self-sustaining, fee-based model. Two-dimensional materials are used in next-generation semiconductors and quantum technologies.