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Predicting hardness in refractory high-entropy alloys using machine learning

https://doi.org/10.1016/j.matlet.2025.138940

Sheikh, Sofia; Zadeh, Sina Hossein; Mulukutla, Mrinalini; Hastings, Trevor; Arróyave, Raymundo (December 2025, Materials Letters)

Free, publicly-accessible full text available December 1, 2026
Visualizing high entropy alloy spaces: methods and best practices

https://doi.org/10.1039/D4DD00262H

Vela, Brent; Hastings, Trevor; Allen, Marshall; Arróyave, Raymundo (January 2025, Digital Discovery)

Multi-Principal Element Alloys (MPEAs) have emerged as an exciting area of research in materials science in the 2020s, owing to the vast potential for discovering alloys with unique and tailored properties enabled by the combinations of elements.
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Free, publicly-accessible full text available January 1, 2026
All-nanoparticle layer-by-layer coatings for Mid-IR on-chip gas sensing

https://doi.org/10.1039/d0cc05513a

Al Husseini, Diana; Zhou, Junchao; Willhelm, Daniel; Hastings, Trevor; Day, Gregory S.; Zhou, Hong-Cai; Coté, Gerard L.; Qian, Xiaofeng; Gutierrez-Osuna, Ricardo; Lin, Pao Tai; et al (November 2020, Chemical Communications)
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Functionalization of optical waveguides with submicron coatings of zinc peroxide (ZnO 2 ) and silica (SiO 2 ) nanoparticles (NPs) is reported that enabled selective concentration of acetone vapors in the vicinity of the waveguide, boosting the sensitivity of a mid infrared (MIR) on-chip detector. Controlled thickness was achieved by introducing precise control of the substrate withdrawal speed to the layer-by-layer (LbL) deposition technique.
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