physics-ML

There’s never enough time to do everything, even in engineering education. Employers want engineers capable of wielding simulation tools to expedite iterative...

As the world faces the urgent need to combat climate change, carbon capture and storage (CCS) has emerged as a crucial technology for achieving net-zero...

Despite the continuous improvement of weather forecasts over the last few decades, uncertainties due to meteorological measurements and models mean that...

The world’s energy system is increasingly complex and distributed due to increasing renewable energy generation, decentralization of energy resources, and...

AI is quickly becoming an integral part of diverse industries, from transportation and healthcare to manufacturing and finance. AI powers chatbots, recommender...

A Stanford University team is transforming heart healthcare with near real-time cardiovascular simulations driven by the power of AI. Harnessing...

Simulations are quintessential for complex engineering challenges, like designing nuclear fusion reactors, optimizing wind farms, developing carbon capture and...

NVIDIA PhysicsNeMo is a framework for building, training, and fine-tuning deep learning models for physical systems, otherwise known as physics-informed...

CO2 capture and storage technologies (CCS) catch CO2 from its production source, compress it, transport it through pipelines or by ships, and store it...

Physics-informed machine learning (physics-ML) is transforming high-performance computing (HPC) simulation workflows across disciplines, including...