Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation | ScienceToStartup | ScienceToStartup

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References (43)

[1]

Quantitative Depth Estimation in Lock-In Thermography: Modeling and Correction of Lateral Heat Conduction Effects

2025Botao Ma, Shupeng Sun et al.

[2]

ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction

2025Li Zhou, Changsheng Fang et al.

[3]

Machine Learning in Thermography Non-Destructive Testing: A Systematic Review

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Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation

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References (43)

Founder's Pitch

"NeFTY is a differentiable physics framework that enhances 3D reconstruction of material properties using transient surface temperature measurements."

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Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation

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References (43)

Founder's Pitch

"NeFTY is a differentiable physics framework that enhances 3D reconstruction of material properties using transient surface temperature measurements."

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