After years of creating highly specialized software, researchers used supercomputer clusters to finally solve the "100,000-body problem.

Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...

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Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

So, you want to get better at those tricky LeetCode Python problems, huh? It’s a common goal, especially if you’re aiming for tech jobs. Many people try to just grind through tons of problems, but ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Abstract: The flexible job shop scheduling problem is a typical NP-hard problem, which has strong guiding significance for production scheduling in enterprises. In this paper, we propose an improved ...