The two electron molecular bond revisited: from Bohr orbits to two-center orbitals
Goong Chen, Siu A. Chin, Yusheng Dou, Kishore T. Kapale, Moochan Kim, Anatoly A. Svidzinsky, Kerim Urtekin, Han Xiong, Marlan O. Scully
Abstract
In this review we first discuss extension of Bohr's 1913 molecular model and show that it corresponds to the large-D limit of a dimensional scaling (D-scaling) analysis, as developed by Herschbach and coworkers. In a separate but synergetic approach to the two-electron problem, we summarize recent advances in constructing analytical models for describing the two-electron bond. The emphasis here is not maximally attainable numerical accuracy, but beyond textbook accuracy as informed by physical insights. We demonstrate how the interplay of the cusp condition, the asymptotic condition, the electron-correlation, configuration interaction, and the exact one electron two-center orbitals, can produce energy results approaching chemical accuracy. Reviews of more traditional calculational approaches, such as Hartree-Fock, are also given. The inclusion of electron correlation via Hylleraas type functions is well known to be important, but difficult to implement for more than two electrons. The use of the D-scaled Bohr model offers the tantalizing possibility of obtaining electron correlation energy in a non-traditional way.
Create a lesson
Related papers
When optimized geometries are not optimal: Implications for inverted singlet-triplet gap predictions
Atreyee Majumdar, Elamathi Selvan Samynathan, Raghunathan Ramakrishnan
Open-shell Configuration State Functions as trial states for phaseless auxiliary-field quantum Monte Carlo
Don Danilov, Hugh G. A. Burton, James Shee
Machine Learning the Complete Active-Space Wavefunction Reconstruction
Aniruddha Seal, Bhavnesh Jangid, Helen S. Clifford et al.
Brueckner Orbitals in Local Pair Natural Orbital Coupled-Cluster Theory: DLPNO-BCCD(T) and DLPNO-BCCD(T)Lambda2
Andy Jiang, Tibor Gyori, Elizabeth C. Toth et al.
Exact periodic electrostatics for latent-charge machine-learning potentials
Eslam Ibrahim
Exploiting floating point emulation in tensor contractions in relativistic coupled cluster theory
Maxime Le, Ryan Benazzouk, Jan Brandejs et al.