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2025 / Journal article

Automated Refinement of Property-Specific Polarizable Gaussian Multipole Water Models Using Bayesian Black-Box Optimization

Yongxian Wu, Qiang Zhu, Zhen Huang, Piotr Cieplak, Yong Duan, Ray Luo

Journal of Chemical Theory and Computation 21(7), 3563–3575

Automated refinement of polarizable Gaussian multipole water parameters against liquid properties, with tests of thermodynamic properties beyond the training set.

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A Density-Consistent, Finite van der Waals Potential from Gaussian Atomic DensitiesDEGAUSS: A Novel Softcore Force Field Using Double Exponential van der Waals and Gaussian Charge for Molecular Dynamics Simulations I: Theory and ValidationIsotropic Periodic Sum for Polarizable Gaussian Multipole ModelPerformance Tuning of Polarizable Gaussian Multipole Model in Molecular Dynamics SimulationsOptimal Scheme to Achieve Energy Conservation in Induced Dipole Models