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Related Concept Videos

Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...

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Benchmarking Nanoscale Noncovalent Complexes at the Two-Hundred-Atom Scale with Converged Local CCSD(T).

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We developed vL27, a benchmark dataset for nanoscale noncovalent interactions. It helps evaluate computational methods for large molecular assemblies, finding MP2+D3-ML and B97M-D4 offer good accuracy and transferability.

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Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Nanoscale science

Background:

  • Accurate computation of noncovalent interactions is crucial for understanding molecular assemblies.
  • Existing benchmarks may not adequately represent nanoscale systems.
  • Developing efficient methods for large systems is an ongoing challenge.

Purpose of the Study:

  • Introduce vL27, a new benchmark dataset for large noncovalent complexes.
  • Probe nanoscale interaction effects in molecular systems.
  • Evaluate the performance of various computational methods.

Main Methods:

  • Computed reference binding energies using local coupled cluster with single, double, and perturbative triple [CCSD(T)] extrapolated to the complete basis set (CBS) limit.
  • Validated MP2/CBS against MP2-F12 and local CCSD(T)/CPS against canonical CCSD(T).
  • Performed Symmetry-Adapted Perturbation Theory (SAPT) analysis to understand interaction character.

Main Results:

  • vL27 comprises 27 large noncovalent complexes (up to 205 atoms).
  • SAPT analysis showed dispersion and many-body effects are dominant in stabilizing these assemblies.
  • MP2+D3-ML, B97M-D4, ωB97M-D4, and HF-3c demonstrated the best accuracy-transferability balance.

Conclusions:

  • The vL27 dataset provides a rigorous foundation for evaluating computational methods for nanoscale systems.
  • Dispersion and many-body effects play a critical role in large noncovalent assemblies.
  • Selected methods offer a promising balance for computationally efficient studies of nanoscale interactions.