Assessing the Accuracy of Quantum Monte Carlo Pseudopotentials for CO2 Capture in Metal Organic Frameworks

As global emissions of CO2 and other greenhouse gases rises, global warming persists as an imminent threat to the environment and every day lives. To reduce greenhouse gas emissions in the atmosphere, there is a need to design materials to separate and capture the different gasses. Current gas capturing technologies lack efficiency and have extensive energy costs. A class of materials for CO2 capture is Molecular Organic Frameworks (MOFs). In order for a MOF to be efficient for this type of separation, the MOF needs to be able to selectively bind to the gas, while also not suffering a high energy cost to remove the gas and reuse the material. Computationally calculated binding energies are used to determine the usefulness of a MOF at capture and separation of a certain gas. Each computational method has its advantages and limitations. In this work, diffusion quantum Monte Carlo is being explored. This paper focuses on the accuracy of recently developed pseudopotentials for DMC use. These pseudopotentials have been tested on smaller molecules but have not been systematically tested for systems such as MOFs. Results from a DMC calculation of Zn-MOF-74 show a binding energy of -18.02 kJ/mol with an error bound of 16.74 kJ/mol. In order to assess the accuracy of the DMC results for binding energies of this magnitude the uncertainty need to be reduced, a subject of ongoing work.