Despite over 50 years since the first computer simulations of liquid water and numerous subsequent studies, achieving a realistic molecular-level understanding of water's properties across all phases has remained elusive. Over the past decade, efficient algorithms for correlated electronic structure calculations of small molecular complexes, combined with significant advances in machine-learned representations of multidimensional potential energy surfaces, have paved the way for the development of the MB-pol data-driven many-body potential. This potential is based on a rigorous representation of the many-body expansion of interaction energies. In this contribution, I provide a comprehensive overview of the performance of MB-pol, which enables realistic simulations of water—from gas-phase clusters to liquid water and ice. I focus specifically on water's phase behavior in the supercooled regime, identifying the elusive liquid-liquid critical point through realistic molecular simulations. Comparisons with experimental data across the water phase diagram demonstrate that MB-pol effectively captures water's molecular properties under diverse conditions, fulfilling the long-sought goal of a "universal model" of water.
*This research was supported by the Air Force Office of Scientific Research grant no. FA9550-20-1-0351. Computational resources were provided by the Department of Defense High Performance Computing Modernization Program (HPCMP), the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grants nos. 2138259, 2138286, 2138307, 2137603, and 2138296, the Triton Shared Computing Cluster (TSCC) at the San Diego Supercomputer Center (SDSC), and the Scientific Computing Core at the Flatiron Institute, a division of the Simons Foundation.
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Publication:Realistic phase diagram of water from "first principles" data-driven quantum simulations. S.L. Bore, F. Paesani, Nat. Commun. 14, 3349 (2023). https://www.nature.com/articles/s41467-023-38855-1
Pinpointing the location of the elusive liquid-liquid critical point in water. F. Sciortino, Y. Zhai, S.L. Bore, F. Paesani, in review. https://doi.org/10.26434/chemrxiv-2024-dqqws-v2