The numerical simulation of Homann flow, a classical problem in fluid dynamics involving axisymmetric flow over a solid plate, is essential for understanding various boundary layer phenomena. Due to ...

This article proposes a machine-learning (ML) method to accelerate atomic-level device simulation. The main idea is to utilize graph convolutional network (GCN) to predict the potential distribution ...

Based on our results, we recommend Graph Neural Networks for physics simulation workloads. The TF-GNN API has a steep initial learning curve for using its data layer, especially if there is no data ...

Build intelligent chatbots with LangGraph. From setup to deployment, master Python chatbot development with this comprehensive guide.

Simulate SIR/SIRV on a graph To simulate an epidemic on a (random) graph of choice with custom parameters, run python simulate.py with the following arguments.

The Drude-Lorentz model examined in the previous issue lends to the simulation of electron motion in the Mathematica computing environment.

Methods: This article presents a scalable full-stack architecture for a patient simulation application driven by graph-based models. This patient simulation application enables medical practitioners ...