Develop Physics-Informed Machine Learning Models with Graph Neural Networks – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-19T05:01:01Z http://www.open-lab.net/blog/feed/ Bhoomi Gadhia <![CDATA[Develop Physics-Informed Machine Learning Models with Graph Neural Networks]]> http://www.open-lab.net/blog/?p=66096 2023-06-14T19:45:19Z 2023-06-06T18:30:00Z NVIDIA PhysicsNeMo is a framework for building, training, and fine-tuning deep learning models for physical systems, otherwise known as physics-informed machine...]]> NVIDIA PhysicsNeMo is a framework for building, training, and fine-tuning deep learning models for physical systems, otherwise known as physics-informed machine...

NVIDIA PhysicsNeMo is a framework for building, training, and fine-tuning deep learning models for physical systems, otherwise known as physics-informed machine learning (physics-ML) models. PhysicsNeMo is available as OSS (Apache 2.0 license) to support the growing physics-ML community. The latest PhysicsNeMo software update, version 23.05, brings together new capabilities��

Source

]]> 2 ���˳���97caoporen����