Machine-learned molecular modeling of ruthenium: A Kolmogorov-Arnold Network approach
Developing refractory high-entropy superalloys (RSAs) with performance advantages over nickel-based alloys is a critical frontier in materials science. Body-centered cubic (bcc)-based RSAs have attrac...
Hot off the press! We explore computational methods for predictive alloy design. The Kolmogorov-Arnold Network (KAN) model shows superior accuracy & efficiency in predicting Ru's properties compared to traditional models, which we validated with molecular dynamics simulations. #AI #MaterialsScience
25.02.2025 15:51
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Hi! We have two very interesting PhD opportunities in our lab 🦠🧬🔬. Find more information and the application links below! 👇
09.01.2025 17:35
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"A study of federally funded research projects in the United States estimated that principal investigators spend on average about 45% of their time on administrative activities related to applying for and managing projects rather than conducting active research"
www.pnas.org/doi/10.1073/...
04.01.2025 13:26
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