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Researcher
- Sheng Dai
- Parans Paranthaman
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- Edgar Lara-Curzio
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- Hsin Wang
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- Vandana Rallabandi
- Vishaldeep Sharma
- Vittorio Badalassi
- Vlastimil Kunc
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- Yutai Kato

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

Fusion reactors need efficient systems to create tritium fuel and handle intense heat and radiation. Traditional liquid metal systems face challenges like high pressure losses and material breakdown in strong magnetic fields.

A bonded carbon fiber monolith was made using a coal-based pitch precursor without a binder.

Currently there is no capability to test materials, sensors, and nuclear fuels at extremely high temperatures and under radiation conditions for nuclear thermal rocket propulsion or advanced reactors.

To develop efficient and stable liquid sorbents towards carbon capture, a series of functionalized ionic liquids were synthesized and studied in CO2 chemisorption via O–C bond formation.

The traditional window installation process involves many steps. These are becoming even more complex with newer construction requirements such as installation of windows over exterior continuous insulation walls.

New demands in electric vehicles have resulted in design changes for the power electronic components such as the capacitor to incur lower volume, higher operating temperatures, and dielectric properties (high dielectric permittivity and high electrical breakdown strengths).

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and

Method for separating bulky solids from powders in an automated fashion. Powders are particularly challenging to work with in an automated workflow employing robots for chemical manipulation.

Standard stages for X-ray diffraction are designed to carry holders that are relatively large. This imposes a significant space constraint that can reduce the number of samples analyzed.