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Material Measurement Laboratory / Materials Measurement Science Division

Data and AI-Driven Materials Science Group

Projects/Programs

Displaying 1 - 15 of 15
An artistic ring of bars

Annual Machine Learning for Materials Research Bootcamp

Ongoing
Four days of lectures and hands-on exercises covering a range of data analysis topics from introduction to python and data pre-processing to advanced machine learning analysis techniques. Example topics include: Identifying important features in complex/high dimensional data Visualizing high
schematic of the scanning droplet cell apparatus

Autonomous Scanning Droplet Cell

Ongoing
Corrosion impacts a broad spectrum of application areas including infrastructure, transportation, and the military. The annual price tag for corrosion mitigation and remediation is 3.4 % of the US GDP. The team is particularly interested in discovering new metallic glasses (metals without long range
Schematic image of automated MOF synthesis platform under construction.

Autonomous Synthesis of Metal-Organic Frameworks

Ongoing
Metal-organic frameworks (MOFs) show great promise for a variety of applications, from industrial gas separation, to catalysis, to PFAS absorption. One challenge to the adoption of these technologies is determining and optimizing the synthesis of these materials. There are large computational
DSC01010_combiPLD_scale2

High Throughput Thin-film Materials Science

Ongoing
There are many materials science problems that don’t have good modeling frameworks and exist in large design spaces. In these domains the best approach is to rapidly acquire data. To achieve this we can deposit metallic alloys as thin films with a range of composition (or less commonly processing
A group of students in a laboratory with computers and equipment

A Low-Cost Robot Science Kit for Education

Ongoing
Despite its low cost, Legolas has been demonstrated for machine learning-driven hypothesis design, discovery, and validation. For the last four years, Legolas has been used in hands-on courses at the University of Maryland to teach next-generation workforce skills, including ML, control systems
Integrated multi-physics simulation and validation

Multiscale Modeling and Validation of Semiconductor Materials and Devices

Ongoing
The limitations of scaling traditional CMOS (complementary metal-oxide semiconductors) designs have necessitated that the semiconductor industry consider new materials and design concepts. For wide bandgap semiconductor devices, optimization of materials and fabrication processes is needed to
Illustrated cube has crystal framework in gray with red balls interspersed in the open spaces.

Performance Metrics for Industrial Gas Separation and Purification

Ongoing
Sorbents in Direct Air Capture (DAC) are exposed to the atmosphere, where they adsorb CO2 then are isolated from atmosphere, the CO2 is driven off by heating or pulling vacuum, refreshing the sorbents. This adsorption-refresh cycle depends not only on the competitive adsorption of CO2 with the other
infographic explaining how a battery passport works

EV Battery Passport

Completed
End-of-life issues associated with EV batteries (EVBs) are estimated to have a steep rise in the coming decades. Given the finite nature of material resources worldwide, developing a circular EV batteries (EVB) infrastructure is needed to keep high value battery materials in the economy, therefore