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Updated: Jul 2, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
Published on: September 17, 2021
Variational and diffusion Monte Carlo study of post-d group 13-17 elements.
1Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, New York 14853, USA. al-saidi@cornell.edu
Quantum Monte Carlo methods accurately predict properties of post-d elements. Calculations for ionization energies, electron affinities, and molecular properties show excellent agreement with experimental and high-level theoretical data.
Area of Science:
- Computational chemistry
- Quantum mechanics
- Atomic and molecular physics
Background:
- Accurate theoretical predictions are crucial for understanding the chemistry of heavier elements.
- Post-d elements present unique challenges due to relativistic effects.
Purpose of the Study:
- To perform ab initio calculations on first-, second-, and third-row post-d elements.
- To assess the accuracy of quantum Monte Carlo methods for these systems.
- To benchmark molecular properties like dissociation energies and vibrational frequencies.
Main Methods:
- Variational and diffusion Monte Carlo calculations.
- Utilized scalar-relativistic energy-consistent Hartree-Fock pseudopotentials.
- Employed large basis sets for comparison.
Main Results:
- Calculated ionization energies and electron affinities for first- and second-row elements agree well with experiment and CCSD(T) results.
- Third-row element calculations show excellent agreement with CCSD(T) energies.
- Benchmark calculations for diatomic molecules and hydrides are presented.
Conclusions:
- Quantum Monte Carlo methods, with appropriate pseudopotentials, provide accurate results for post-d elements.
- The study validates the use of these methods for heavier elements where relativistic effects are significant.
- Reliable data for molecular properties of these systems have been generated.
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