Abstract: Several studies have demonstrated the potential of machine learning methods to solve optimal power flow problems. However, designing a scalable physics-informed neural network (PINN) model ...
Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...
Abstract: Modern large-scale computing systems distribute jobs into multiple smaller tasks which execute in parallel to accelerate job completion rates and reduce energy consumption. However, a common ...
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