Luca Messina
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126
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Statistical Mechanics×1AI×1physics.comp-ph×1
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2026
Thermodynamic properties of chemically disordered compounds via AI-driven estimation of partition function with the PULSE method
The paper introduces an improved PULSE method to efficiently estimate the thermodynamic properties of chemically disordered compounds by sampling and estimating the system's partition function, demonstrating high accuracy compared to traditional Monte Carlo methods.
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