RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

The temptation with a car like the Czinger 21C is to treat it as a collection of extreme specifications, and to be fair, it’s ...

Explore how AI transforms crash tests and factory design, enhancing safety, efficiency, and innovation in automotive manufacturing.

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Scientists are using AI and physics-based simulations together to design new peptides that will kill previously ...

Prompt engineering tools help optimize AI-generated responses. Discover the best tools, compare features, and find the right ...

Abstract: The transition to battery-electric vehicles (BEVs) has increased the demand for efficient, cost-effective, and reliable electric motors. However, designing an electric motor that meets such ...

Abstract: Economic dispatch problems (EDPs), as a basic issue of smart grids, have appealed to a wide range of research interests owing to the expansion of network scales and the increase of system ...