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This work has been initiated through the visual analogy between the early cortical folding process and the smoothing of a brain surface by mean curvature flow.We introduce a new geometric flow with one-parameter and propose an efficient optimization strategy for parameter estimation involving an energy depending only on volume and total area of the closed surface.Our model is trained on brain data and reveals promising predictions for developmental neuroscience.