PIGNN3D: an accelerated physics-informed graph neural network for 3D thermal field simulation in data centers
Efficient thermal management is critical in data centers, where computational fluid dynamics (CFD) simulations provide high-fidelity airflow and temperature predictions but remain computationally demanding and time-intensive. While data-driven methods have emerged as promising alternatives, most existing works are limi...