Publications by authors named "Khanhly Nguyen"

Article Synopsis
  • The study focuses on how morphological defects, like irregular steps and dislocations, influence the selectivity of copper (Cu) catalysts during the electrocatalytic reduction of carbon monoxide (CORR).
  • Cu(111) single-crystal surfaces, though chemically similar, showed different product outcomes—shifting from hydrogen to hydrocarbons—based on the number of pretreatment cycles before regeneration, despite matching surface structures.
  • Micron-scale analysis revealed that surfaces producing hydrocarbons had more irregular steps, indicating that these step edges are crucial for C-C bonding in CO reduction, emphasizing the need for both atomistic and mesoscale assessments of electrocatalytic materials to understand selectivity patterns.
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Electrocatalyst surfaces prepared under ultrahigh vacuum (UHV) conditions can create model surfaces to better connect theoretical calculations with experimental studies. The development of a single crystal sample holder and inert electrochemical cells prepared with modularity and chemical stability in mind would allow for expensive single crystals to be reused indefinitely in both UHV and electrochemical settings. This sample holder shows reproducible surface preparations for single crystal samples and consistent electrochemical experiments without the introduction of impurities into the surface.

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The identification of the active sites for the electrochemical reduction of CO (CO RR) to specific chemical products is elusive, owing in part to insufficient data gathered on clean and atomically well-ordered electrode surfaces. Here, ultrahigh vacuum based preparation methods and surface science characterization techniques are used with gas chromatography to demonstrate that subtle changes in the preparation of well-oriented Cu(100) and Cu(111) single-crystal surfaces drastically affect their CO RR selectivity. Copper single crystals with clean, flat, and atomically ordered surfaces are predicted to yield hydrocarbons; however, these were found experimentally to favor the production of H .

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Digital health technologies for people with epilepsy (PWE) include internet-based resources and mobile apps for seizure management. Since non-pharmacological interventions, such as listening to specific Mozart's compositions, cognitive therapy, psychosocial and educational interventions were shown to reduce epileptic seizures, these modalities can be integrated into mobile software and delivered by mobile medical apps as digital therapeutics. Herein, we describe: (1) a survey study among PWE about preferences to use mobile software for seizure control, (2) a rationale for developing digital therapies for epilepsy, (3) creation of proof-of-concept mobile software intended for use as an adjunct digital therapeutic to reduce seizures, and (4) broader applications of digital therapeutics for the treatment of epilepsy and other chronic disorders.

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