A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Partial differential equations (PDEs) play a crucial role in scientific computing. Recent advancements in deep learning have led to the development of both data-driven and and Physics-Informed Neural ...

We'll look at why it's useful to split the body being analysed into small elements and the different elements types that can be used. We'll also cover the key concept behind the finite element method, ...

Anna Baluch is a freelance writer from Cleveland, Ohio. She enjoys writing about a variety of health and personal finance topics. When she's away from her laptop, she can be found working out, trying ...

ABSTRACT: Fractional-order time-delay differential equations can describe many complex physical phenomena with memory or delay effects, which are widely used in the fields of cell biology, control ...

School of Nuclear Science and Engineering, Oregon State University, Corvallis, OR, United States Modeling strong shock waves in fluids remains a persistent challenge in computational physics.

This is an informal GitHub organization around the finite volume method (FVM) for numerical modeling of (simple) transport phenomena and the software tools that enable this. Compared to finite ...