Advancements in shape memory alloys show promise for heating and cooling applications, emphasizing controlled thermal ...

In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one foundation model called Chronos could generate predictions of chaotic ...

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with automatic dependency handling in isolation.

More recently, research efforts have continued to develop anatomically accurate models from medical imaging and develop physics and physiology-based models Singh et al., 2024. On contrary, voxel-based ...

Accurate knowledge of the induction machine rotor temperature is important for both condition monitoring and motor performance. Lumped-parameter thermal networks allow to flexibly model the ...

In recent years, machine learning approaches have attracted the attention of the researchers working in the field of thermal energy systems. These approaches are applicable in different aspects of ...

This model is trained on a machine learning transformer structure, which is commonly employed in natural language processing, as the transformer structure is well-suited for handling large amounts of ...

Accurate and efficient thermal simulations of induction machines are indispensable for detecting thermal hot spots and hence avoiding potential material failure in an early design stage. A goal is the ...

Coupling the one-dimensional electrochemical model and the three-dimensional thermal model can provide more accurate and comprehensive battery modeling and simulation results. This coupling can help ...