Screening out unfeasible hypothetical zeolite structures via the closest non-adjacent O⋯O pairs
Literature Information
Junran Lu, Lin Li, Hongxiao Cao, Yi Li, Jihong Yu
To boost function-led discovery of new zeolites with desired pores and properties, millions of hypothetical zeolite structures have been predicted via various computational approaches. It is now well accepted that most of these predicted structures are experimentally unrealisable under conventional synthetic conditions. Many structure evaluation criteria have been proposed to screen out unfeasible structures, among which the framework density–framework energy correlation criterion and the local interatomic distances criteria are the most frequently used. However, many hypothetical structures passing these criteria have been found unfeasible because of the existence of highly distorted framework rings. Here, we propose a new set of structure evaluation criteria to screen out such unfeasible structures. After optimising all existing zeolite structures as silica polymorphs, we find that the closest non-adjacent O⋯O distances in existing zeolite rings generally show a normal distribution. By comparing the closest non-adjacent O⋯O distances between existing and hypothetical zeolite structures, we are able to screen out many unfeasible hypothetical zeolite structures with distorted rings that are deemed feasible according to previous structure evaluation methods.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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