Accurate Solution‐Phase Thermodynamics via Composite Quantum Chemistry and Machine Learning: Application to Biomass Decomposition
A general computational framework to evaluate accurate solution‐phase thermodynamics in the standard state for compounds involved in the decomposition of xylose and glucose in water by combining gas‐phase free‐energy calculations with machine‐learning prediction of hydration free energies is developed.