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- Tomonori Saito
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- Gyoung Gug Jang
- Hoyeon Jeon
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High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

With the ever-increasing problem of plastic waste, several avenues to decrease plastic use and manage waste introduced by disposable plastic products have arisen.

This invention utilizes a salt and an amine containing small molecule or polymer for the synthesis of a bulky anionic salt or containing single-ion conducting polymer electrolyte for the use in Li-ion and beyond Li-ion batteries.

Carbon capture from air typically requires large amounts of solvent and sorbent that are energetically costly to regenerate. It also suffers from degradation, is environmentally unsustainable, and very expensive.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

This technology identifies enzymatic routes to synthesize amide oligomers with defined sequence to improve polymerization of existing materials or enable polymerization of new materials. Polymers are generally composed of one (e.g. Nylon 6) or two (e.g.

ORNL contributes to developing the concept of passive CO2 DAC by designing and testing a hybrid sorption system. This design aims to leverage the advantages of CO2 solubility and selectivity offered by materials with selective sorption of adsorbents.

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