Thermodynamics is a science concerning the state of a system, whether it is stable, metastable, or unstable.  The combined law of thermodynamics derived by Gibbs laid the foundation of thermodynamics though only applicable to systems under equilibrium.  Gibbs further derived the classical statistical thermodynamics in terms of the probability of configurations in a system, which was extended to quantum mechanics-based statistical thermodynamics by Landau, while the irreversible thermodynamics was derived by Onsager and Prigogine and co-workers.  The development of density function theory (DFT) by Kohn and co-workers enabled the quantitative prediction of properties of the ground state of a system from quantum mechanics.  In this presentation, we would like to discuss our efforts in integrating quantum, statistical, and irreversible thermodynamics in a coherent framework by keeping the entropy production due to irreversible processes in the combine law of thermodynamics to derive flux equations and utilizing the predictive capability of DFT to revise the statistical thermodynamics (https://doi.org/10.1080/21663831.2022.2054668).