Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

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 ...

Predicting how continuous microscopic strains alter local bond lengths and hopping energies has required computationally taxing physics simulations, frustrating attempts to efficiently scan the ...

Aug. 21, 2025 — Lawrence Livermore National Laboratory (LLNL) researchers employed an AI-driven model to predict fusion ignition days ahead of the historic 2022 shot, according to a new study in ...

The knowledge-informed deep learning (KIDL) paradigm, with the blue section representing the LLM workflow (teacher demonstration), the orange section representing the distillation pipeline of KIDL ...