This Collection supports and amplifies research related to SDG3, SDG9 and SDG10. Physics-Informed Machine Learning (PI-ML) combines principles from physics- and biology-based modeling with data-driven ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

A team of EPFL researchers has developed an AI algorithm capable of modelling complex dynamical processes while adhering to the laws of physics—specifically Newton’s third law.

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

It seems like everyone wants a piece of Lu Lu’s research. Biologists. Physicians. Astronomers. Climatologists. Physicists. Chemists. Materials scientists. The federal government. Even the occasional ...