Imperial College Builds Differentiable Climate Model in PyTorch Without Hand-Coded Adjoints

Researchers at Imperial College wrote a differentiable physics model as PyTorch convolutions, recovering soil and flux parameters from urban temperature data without training or hand-coded adjoints.

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2026-11-13 12:02 · AlphaSignal
Imperial College Uses PyTorch to Solve Climate Models Without Hand-Coded Adjoints

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