@article{ritter_tudor_hogan_pham_space_2024, title={PHAHST Potential: Modeling Sorption in a Dispersion-Dominated Environment}, volume={6}, ISSN={["1549-9626"]}, url={https://doi.org/10.1021/acs.jctc.4c00226}, DOI={10.1021/acs.jctc.4c00226}, abstractNote={PHAHST (potentials with high accuracy, high speed, and transferability) is a recently developed force field that utilizes exponential repulsion, multiple dispersion terms, explicit many-body polarization, and many-body van der Waals interactions. The result is a systematic approach to force field development that is computationally practical. Here, PHAHST is employed in the simulation for rare gas uptake of krypton and xenon in the metal-organic material, HKUST-1. This material has shown promise in use as an adsorptive separating agent and presents a challenge to model due to the presence of heterogeneous interaction sorption surfaces, which include pores with readily accessible, open-metal sites that compete with dispersion-dominated pores. Such environments are difficult to simulate with commonly used empirical force fields, such as the Lennard-Jones (LJ) potential, which perform better when electrostatics are dominant in determining the nature of sorption and alone are incapable of modeling interactions with open-metal sites. The effectiveness of PHAHST is compared to the LJ potential in a series of mixed Kr-Xe gas simulations. It has been demonstrated that PHAHST compares favorably with experimental results, and the LJ potential is inadequate. Overall, we establish that force fields with physically grounded repulsion/dispersion terms are required in order to accurately model sorption, as these interactions are an important component of the energy. Furthermore, it is shown that the simple mixing rules work nearly quantitatively for the true pair potentials, while they are not transferable for effective potentials like LJ.}, journal={JOURNAL OF CHEMICAL THEORY AND COMPUTATION}, author={Ritter, Logan and Tudor, Brant and Hogan, Adam and Pham, Tony and Space, Brian}, year={2024}, month={Jun} }