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conjugate-heat-transfer

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1D thermal resistance network for CPU cold plate optimization, calibrated against CFD simulations. Enables rapid parametric design studies to identify thermal bottlenecks and evaluate design modifications without re-running expensive 3D CFD.

  • Updated Dec 1, 2025
  • Python

Physics-informed surrogates with calibrated error bounds for nonlinear transient conjugate heat transfer. Sole-authored preprint: JAX, seed-replicated ablations, split-conformal safety bound, 104/104 claims machine-audited, reproduces in under two core-hours.

  • Updated Aug 9, 2026
  • TeX

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