A Novel Hybrid Boundary Element—Physics Informed Neural Network Method for Numerical Solutions in Electromagnetics
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Updated
Apr 23, 2026 - MATLAB
A Novel Hybrid Boundary Element—Physics Informed Neural Network Method for Numerical Solutions in Electromagnetics
A final project for the AI Physics course at Fudan University (Spring 2025), classifying materials as metals or insulators using various machine learning models trained on data from the Materials Project database.
Research substrate for the MyCobot 320 Pi: ROS2/TCP control, Gazebo Harmonic digital twin, hand-teleoperation (Astra+Wilor), DREAM pose estimation (VGG keypoints), and intrinsic camera calibration. Roadmap: Isaac Sim + VLA fine-tuning.
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