Finding 2259Emerging EvidenceValidation V0
Researchers unveil a physics-informed neural network (PINN) to solve the time-space fractional Black-Scholes equation, capturing memory effects and anomalous diffusion in financial markets with unprecedented mathematical rigor and computational stability.
78%Confidence
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Supporting78% linkage confidence
Researchers unveil a physics-informed neural network (PINN) to solve the time-space fractional Black-Scholes equation, capturing memory effects and anomalous diffusion in financial markets with unprecedented mathematical rigor and computational stability.
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Inspect source: An Efficient Physics-Informed Neural Network Solution to the Time-Space Fractional Black-Scholes Equation →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.