By training machine learning models with examples of basic science, Miles Cranmer hopes to push the pace of scientific ...

A new Nature Physics study has shed light on the long-hypothesized liquid-liquid critical point where water simultaneously ...

Harvard affiliates developed a silicon chip that successfully mapped more than 70,000 synaptic connections from 2,000 rat ...

A study co-authored by Filippo Radicchi at Indiana University proposed a theoretical framework specifically designed for ...

A study led by Professor Ginestra Bianconi from Queen Mary University of London, in collaboration with international ...

This neural network is effective across a variety of physics problems, including heat transfer and fluid flow. It achieves over 96% accuracy in data enhancement while using 42.76% less ...

To estimate these parameters, the team developed a physics-informed neural network (PINN) model—a modified machine learning algorithm that incorporates the rate and state friction law—to ...