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To provide the necessary information for electronic material manufacturers to predict how and when failures will occur and enable lifetime analysis appropriate
We develop first-principles-based methods for prediction of atomic arrangements and properties in advanced materials and develop tools for the prediction and
Part quality in additive manufacturing (AM) is highly dependent on the process control, but there is a lack of adequate AM control methods and standards. In
The lack of repeatable process outcomes from additive manufacturing (AM) has been broadly acknowledged as an impediment to widespread implementation. While most
Multi-physics models are necessary to simulate, study, and optimize metal additive manufacturing (AM) processes, such as powder bed fusion (PBF) and directed
Part quality in additive manufacturing (AM) is highly variable due to inadequate dimensional tolerances, surface roughness, and defects, thereby limiting its
Nanocalorimetry provides a capability to measure the thermal properties of very small samples and at very fast rates. Materials and interfaces of interest
Conventional techniques for analyzing chemical composition, such as infrared (IR) microscopy often miss critically important nanoscale details. To overcome this
Overview Capture of carbon dioxide from the air (direct air capture; DAC) combined with energy efficiency and carbon capture, utilization and storage (CCUS)
Develop critical thermal and electrical transport measurement methods, instrumentation, and reference materials needed to support the development, performance