Publications by authors named "P C Y Liaw"

Light, strong, and radiation-tolerant materials are essential for advanced nuclear systems and aerospace applications. However, the comprehensive properties of current radiation-tolerant materials are far from being satisfactory in harsh operating environments. In this study, a high-throughput-designed NbVTaSi refractory eutectic medium entropy alloy realizes the controllable formation of the β-NbSi phase with a high content and has outstanding comprehensive properties, i.

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High-entropy materials (HEMs) show inspiring structural and functional properties due to their multi-elemental compositions. However, most HEMs are burdened by cost-, energy-, and carbon-intensive extraction, synthesis, and manufacturing protocols. Recycling and reusing HEMs are challenging because their design relies on high fractions of expensive and limited-supply elements in massive solid solutions.

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Refractory high-entropy alloys (RHEAs) are promising high-temperature structural materials. Their large compositional space poses great design challenges for phase control and high strength-ductility synergy. The present research pioneers using integrated high-throughput machine learning with Monte Carlo simulations supplemented by ab initio calculations to effectively navigate phase selection and mechanical property predictions, developing single-phase ordered B2 aluminum-enriched RHEAs (Al-RHEAs) demonstrating high strength and ductility.

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Owing to superior strength-ductility combination and great potential for applications in extreme conditions, high-entropy alloys (HEAs) with the face-centered cubic (FCC) structure have drawn enormous attention. However, the FCC structure limits yield strength and makes the alloys unable to meet ever-increasing demands for exploring the universe. Here, we report a strategy to obtain FCC materials with outstanding mechanical properties in both ambient and cryogenic environments, via exploiting dynamic development of the interstitial-driven local chemical order (LCO).

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Article Synopsis
  • Biosampling in critically ill patients usually involves local collection and processing of samples, but community hospitals often lack the necessary infrastructure, making a centralized processing approach a potential solution.
  • This study aimed to evaluate if delays in processing blood samples impact the stability of certain biomarkers like cytokines, chemokines, and cell-free DNA.
  • Results showed that delaying the processing of blood samples for up to 72 hours at room temperature or 4°C did not significantly alter the stability of these biomarkers, indicating that centralized processing might be a viable option.
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