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Ruili Shi

Researcher at Dalian University of Technology

Publications -  19
Citations -  286

Ruili Shi is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Density functional theory & Chemistry. The author has an hindex of 7, co-authored 14 publications receiving 203 citations. Previous affiliations of Ruili Shi include Hebei University of Engineering.

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Comprehensive genetic algorithm for ab initio global optimisation of clusters

TL;DR: In this article, a comprehensive genetic algorithm (CGA) was used to find the lowest energy structures of a variety of elemental and compound clusters with different types of chemical bonding and their physical and chemical properties.
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B28: the smallest all-boron cage from an ab initio global search.

TL;DR: The ab initio global searches reveal the lowest-energy cage for B28, which is built from two B12 units and prevails over the competing structural isomers such as planar, bowl, and tube.
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Which Density Functional Should Be Used to Describe Protonated Water Clusters

TL;DR: The capability of B97-D to distinguish the relative energies between isomers is the best among all theSeven exchange-correlation GGA functionals, followed by M05-2X and PBE0, which gives the best anharmonic frequencies.
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Hydrated Sodium Ion Clusters [Na+(H2O)n (n = 1-6)]: An ab initio Study on Structures and Non-covalent Interaction.

TL;DR: The results exhibit the comprehensive geometries, energies, charge, and anharmonic vibrational properties of Na+(H2O)n (n = 1-6), and reveal a deeper insight of non-covalent interactions.
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Revisit the landscape of protonated water clusters H+(H2O)n with n = 10–17: An ab initio global search

TL;DR: Using a genetic algorithm incorporated with density functional theory, the ground state structures of protonated water clusters H+(H2O)n with n = 10-17 are explored and the isomers at B97-D/aug-cc-pVDZ level of theory are re-optimized.