Skip to main content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

The opinions, findings, and conclusions or recommendations expressed are those of the Center author(s) and do not necessarily reflect the views of the National Science Foundation.

Center Overview

The Center for Materials Data Science for Reliability and Degradation (MDS-Rely) seeks to better understand and improve the reliability and lifetime of essential materials using rigorous data science methods and analytics. Data science-informed approaches can revolutionize the development, manufacturing, and lifecycle applications of materials, parts, and products for U.S. infrastructures in energy, defense, and transportation. MDS-Rely has the potential to transform product reliability by creating technologies that enable unprecedented lifetimes and durability in extreme environments. MDS-Rely research will also deepen the understanding of active degradation and failure mechanisms and improve product design and manufacturing for long service lifetimes.

Universities

  • University of Pittsburgh
  • Case Western Reserve University
View Center Website

Center Personnel

Roger French
Center Director
(216) 368-3655
roger.french@case.edu

Paul Leu
Site Director
pleu@pitt.edu

Liza Allison
Industry Liaison Officer
liza.allison@pitt.edu

Jonathan Steirer
Managing Director
(216) 368-0374
ssi@pitt.edu

Research Focus

MDS-Rely’s research is grounded in three core competencies:

  • Materials data science
  • Reliability, performance, and degradation solutions
  • Standards and reliability study protocols

These competencies support the research areas:

  • Components, devices, and systems
  • Subtractive and additive manufacturing
  • Weathering and performance

These research areas allow MDS-Rely to focus on these three current value chains:

  • Metals and alloys
  • Polymers, elastomers, and coatings
  • Semiconductors and optoelectronics

MDS-Rely research involves statistical and machine learning, time-series modeling, spectral modeling, supervised and unsupervised machine learning of images, network graph modeling, and process modeling — and ultimately allows for the creation of transferrable codes and research pipelines.

Awards