Abstract: The dynamics simulation of complex railway vehicles requires a dedicated vehicle model, such as multi-body dynamics model. However, the multi-body model is time-consuming in long-distance ...

Abstract: This paper presents a novel design of a multi-agent system framework that applies large language models (LLMs) to automate the parametrization of simulation models in digital twins. This ...

Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, ...

Google has expanded its Agent Development Kit (ADK) for Java to support a wider range of large language models (LLMs) through integration with the LangChain4j framework, the company said in a blog ...

These L3 models use a clean approach that addresses both computational stability and switching waveform accuracy while extensively reducing simulation time compared to the L1 models. This enables an ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

As solar modules become more sophisticated, the techniques used to simulate energy performance need to become more advanced. Image: Nextracker. Bifacial photovoltaic (PV) technology has emerged as the ...

Background: Patient-level simulation (PLS) models overcome some major limitations of conventional cohort models and have broad applicability in healthcare, yet limited knowledge exists about their ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...