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✨Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation
📝 Summary:
NeFTY is a new differentiable physics framework that reconstructs 3D material properties from temperature measurements. It uses continuous neural fields and hard constraints, overcoming prior limitations and accurately locating subsurface defects.
🔹 Publication Date: Published on Mar 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.11045
• PDF: https://arxiv.org/pdf/2603.11045
• Project Page: https://cab-lab-princeton.github.io/nefty/
• Github: https://cab-lab-princeton.github.io/nefty/
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#NeuralFields #DifferentiablePhysics #NDE #MaterialScience #DeepLearning
📝 Summary:
NeFTY is a new differentiable physics framework that reconstructs 3D material properties from temperature measurements. It uses continuous neural fields and hard constraints, overcoming prior limitations and accurately locating subsurface defects.
🔹 Publication Date: Published on Mar 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.11045
• PDF: https://arxiv.org/pdf/2603.11045
• Project Page: https://cab-lab-princeton.github.io/nefty/
• Github: https://cab-lab-princeton.github.io/nefty/
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#NeuralFields #DifferentiablePhysics #NDE #MaterialScience #DeepLearning