Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

System dynamics modelling offers a coherent framework to analyse and inform public health policy by representing complex interactions among human behaviour, disease transmission, resource allocation ...

System Dynamics modeling for water resource management brings a holistic perspective to complex hydrological, socio-economic and environmental interactions. By constructing feedback-rich models that ...

Quantum advantage refers to the point at which a quantum computer solves a clearly defined task faster or more efficiently than any classical computer—or makes it solvable in the first place. For many ...

Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren't as helpful when it comes to testing robots or designs for ...

AI nuclear reactor simulation just cleared a decades-long engineering hurdle: Argonne National Laboratory has embedded a transformer neural network into SAM, its flagship advanced reactor safety code, ...

Precise Systems' acquisition of Ternion is expected to support faster development of training, experimentation and ...

Molecular Dynamics Simulations are grounded in classical mechanics, particularly Newton’s laws of motion, to predict how particles move within a system. The force acting on each atom is calculated ...

If you've used a large language model such as ChatGPT, you've interacted with a transformer, the neural network architecture ...

Researchers at the U.S. Department of Energy’s Argonne National Laboratory are using transformer-based models ...