Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...

Key TakeawaysAutomation and AI can systematically pinpoint optimal designs among hundreds of thousands of possibilities, increasing isoprenol titers ...

Why run a huge, costly LLM when a smaller, distilled one can do the job faster, cheaper and with fewer hallucinations?

This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake interval constraints, formulates a combinatorial optimization model, and ...

Abstract: Electrospinning is a widely used technique for producing nanofibers with applications ranging from biomedical engineering to advanced materials. However, the process is highly dependent on a ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

Abstract: We present DiMM (DiMAT Materials Modeler), an interactive framework that advances materials informatics through an effective integration of machine learning (ML) and genetic algorithms (GA).