We analyze finite volume schemes of arbitrary order r for the one-dimensional singularly perturbed convection-diffusion problem on the Shishkin mesh. We show that the ...

A study by ANL has shown how physics-based models and AI can improve trust in nuclear diagnostics by explaining faults and ...

Abstract: Earth observation satellite scheduling problem (EOSSP) is a challenging NP-hard problem in the aerospace field, which aims to develop tasks execution sequences for all earth observation ...

Abstract: Computing maximum matchings in bipartite graphs is an important problem with applications in domains such as resource allocation, chemical analysis, and bioinformatics. The leading ...

A study in the International Journal of Critical Infrastructures discusses a financial early warning system based on an ...

Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms ...

A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...

Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, ...

Large language models (LLMs) have revolutionized the AI landscape, demonstrating remarkable capabilities across a wide range ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...