Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

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 ...

This whitepaper explores the role of process analytical technology (PAT) in enhancing the efficiency of upstream ...

From subarctic to subtropical, Japan's varied climates present a challenge for energy-saving housing design. Adding the ...

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 ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Abstract: This paper investigates the optimization of production process decisions based on nonlinear programming and particle swarm optimization genetic algorithm ...