Abstract: The objective of this paper is to develop a physics-informed machine learning methodology for parametric modeling of permanent magnet synchronous machines (PMSMs). A deep neural network is ...
Abstract: Micromagnetic modeling is used to simulate the parametric amplification of forward volume spin waves by a surface acoustic wave (SAW) traveling noncollinearly in a yttrium–iron–garnet thin ...
Demeter is a plant parametric models that is learned from 3D scans of real-world plants. It explicitly models the plant as a graph of stem and leaf. The raw soybean mesh data can be found in this ...
Tested with Maya 2023, 2025. v0.2.0 This project enables AI assistant clients like Claude Desktop to control Autodesk Maya through natural language using the Model Context Protocol (MCP). This is ...
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