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Only 2-4 principal components can capture 95% of the variance in the solution space of the Burgers equation, revealing a striking effective dimensional reduction.
Achieving accurate reconstruction of scalar potentials in the false vacuum regime reveals new insights into strongly coupled quantum systems through advanced machine learning techniques.
