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Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

Quantifying tool wear is historically challenging task due to variable human interpretation. This capture system will allow for an entire side and the complete end of the cutting tool to be analyzed.

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.

Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.

Complex protective casings and housings are necessary for many applications, including combustion chambers of gas turbines used in aerospace engines. Manufacturing these components from forging and/or casting as a whole is challenging, costly, and time-consuming.

Compliance in a part, work holding, or base plate is beneficial for certain processes, but detrimental for machining and material removal.

In additive manufacturing large stresses are induced in the build plate and part interface. A result of theses stresses are deformations in the build plate and final component.