The National Science Foundation (NSF) awarded a $150,000 Project Grant under the Engineering (CFDA 47.041) program to Carnegie Mellon University (CMU) to establish the Center for Materials Data Science for Reliability and Degradation (MDS-RELY). This interdisciplinary center aims to enhance the reliability and longevity of critical materials through data science and machine learning. The center's research focuses on developing predictive models to understand materials degradation, optimize material properties, and improve reliability across industries such as electronics, energy, aerospace, and manufacturing. CMU will leverage its expertise in machine learning and sustainable materials to drive technological advancements and support workforce development in materials science and data science. This award, effective from April 1, 2025 to March 31, 2026, will enable MDS-RELY to continue advancing scientific knowledge and fostering collaboration between academia, industry, and government to address national priorities in materials reliability.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $150.0k | 4/14/25 |