Tag: scientific machine learning

Researchers outline a comprehensive blueprint for building trustworthy foundation models that emulate expensive physics simulations on exascale supercomputers.

Researchers used scientific machine learning to correct the standard Hamiltonian of transmon qubits on IBM's ibm_kyiv processor, cutting worst-case prediction ...

A major new review argues that classical numerical methods and machine learning are epistemologically distinct tools for solving partial differential ...

Researchers have developed QuanONet, a quantum neural operator proven to achieve quadratic expressivity that outperforms quantum baselines and matches classical ...

A sweeping new survey in Artificial Intelligence Review maps the AI architectures transforming weather and climate prediction while exposing evaluation ...

A new framework called MutexaGPT aims to translate scientists' mechanistic intuitions into physics-grounded enzyme designs, combining large language models with ...