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

The shape of biological structures, ranging from flower petals to the limbs or organs of animals, is often naturally best ...

Clean and complete geometry is important for successful 3D printing. A watertight mesh helps reduce common printing problems ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

At Intersolar Europe 2026, Sigenergy presented a full-scenario solar-storage portfolio powered by AI, marking its evolution ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

A thermoelectric generator with a shape that no human designer would likely have imagined has now been created by a computer—and it performs more than eight times better than conventional designs.

Abstract: This paper proposed a permanent magnet optimization method to suppress the air gap flux density harmonic of permanent magnet synchronous motor (PMSM). The method corrected the effective air ...

Abstract: In this paper, a new design method of shape and topology optimization is proposed to design the Synchronous Reluctance Motor (SynRM), in which the shape of the salient pole rotor determines ...

A University of Houston professor has taken on the global challenge of reducing the staggering amount of heat generated in artificial intelligence data centers. Hadi Ghasemi, J. Willard Gibbs ...

Existing prompt learning methods, which are built upon CLIP models, leverage textual tokens as anchors to guide the learnable soft tokens. This guidance improves CLIP generalizations. However, these ...