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Ab Initio Atom-Atom Potentials Using CamCASP: Theory and Application to Many-Body Models for the Pyridine Dimer
Alston J Misquitta1, Anthony J Stone2
1School of Physics and Astronomy, Queen Mary, University of London , London E1 4NS, United Kingdom.
Generating accurate atom-atom potentials for organic molecules is computationally intensive. The CamCASP program offers a robust method for creating high-accuracy potentials, significantly improving upon empirical models for systems like the pyridine dimer.
Area of Science:
- Computational chemistry
- Molecular modeling
- Quantum chemistry
Background:
- Developing accurate atom-atom potentials for organic molecules is crucial but computationally demanding.
- Explicit polarization terms are essential for many molecular systems but add complexity to potential generation.
Purpose of the Study:
- To describe a method for generating accurate, analytic atom-atom potentials from first principles using the CamCASP program.
- To develop distributed multipole models and many-body potentials for the pyridine system, including electrostatic, polarization, and dispersion interactions.
Main Methods:
- Utilizing the CamCASP suite for generating potentials with accurate electronic structure methods.
- Deriving long-range terms from monomer properties and determining short-range anisotropy via the iterated stockholder atom approach.
- Developing distributed multipole models and many-body potentials for pyridine and its dimer.
Main Results:
- The simplest generated potentials showed root mean square errors of ~0.6 kJ mol(-1) for pyridine dimers, outperforming empirical potentials.
- The most advanced model identified eight stable minima, four previously unreported.
- Systematically improving potential accuracy is achievable without substantial increases in generation time.
Conclusions:
- The CamCASP approach provides a robust and accurate method for generating first-principles atom-atom potentials.
- The developed potentials for the pyridine system demonstrate high accuracy and reveal new stable configurations.
- The methodology allows for systematic refinement of potential accuracy and complexity.
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