Radiation Physics
混合神经体素物理约束框架
Hybrid Neural-Voxel Physics-Constrained FrameworkA computational method combining neural networks and voxel-based representations to reconstruct radiation fields from multiple unknown sources using physical constraints. / 一种结合神经网络与体素表示的计算方法，利用物理约束从多个未知源重建辐射场。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-30 18:05:32
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Main parameters and performance indicators
neural-voxel: hybrid representation combining neural fields and discrete voxelsphysics-constrained: ensures adherence to physical laws during reconstructionmultiple unknown sources: input data from various uncalibrated radiation sources
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Related literature
ranked by community starsA hybrid neural-voxel physics-constrained framework for 3D reconstruction of radiation fields from multiple unknown sourcesOpen source
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1 recordsRecord title: Hybrid Neural-Voxel Physics-Constrained Framework.
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