Variationally optimized atomic orbitals for large-scale electronic structures

2003 ◽  
Vol 67 (15) ◽  
Author(s):  
T. Ozaki
2019 ◽  
Vol 10 (48) ◽  
pp. 11041-11053 ◽  
Author(s):  
Adam H. Slavney ◽  
Bridget A. Connor ◽  
Linn Leppert ◽  
Hemamala I. Karunadasa

Explaining most known double perovskite electronic structures and predicting new ones using Linear Combination of Atomic Orbitals analysis.


1975 ◽  
Vol 63 (11) ◽  
pp. 4708-4715 ◽  
Author(s):  
W. Paul Menzel ◽  
Kenneth Mednick ◽  
Chun C. Lin ◽  
C. Franklin Dorman

2020 ◽  
Vol 8 ◽  
Author(s):  
Zhaolong Luo ◽  
Xinming Qin ◽  
Lingyun Wan ◽  
Wei Hu ◽  
Jinlong Yang

Linear-scaling density functional theory (DFT) is an efficient method to describe the electronic structures of molecules, semiconductors, and insulators to avoid the high cubic-scaling cost in conventional DFT calculations. Here, we present a parallel implementation of linear-scaling density matrix trace correcting (TC) purification algorithm to solve the Kohn–Sham (KS) equations with the numerical atomic orbitals in the HONPAS package. Such a linear-scaling density matrix purification algorithm is based on the Kohn's nearsightedness principle, resulting in a sparse Hamiltonian matrix with localized basis sets in the DFT calculations. Therefore, sparse matrix multiplication is the most time-consuming step in the density matrix purification algorithm for linear-scaling DFT calculations. We propose to use the MPI_Allgather function for parallel programming to deal with the sparse matrix multiplication within the compressed sparse row (CSR) format, which can scale up to hundreds of processing cores on modern heterogeneous supercomputers. We demonstrate the computational accuracy and efficiency of this parallel density matrix purification algorithm by performing large-scale DFT calculations on boron nitrogen nanotubes containing tens of thousands of atoms.


2019 ◽  
Vol 91 (12) ◽  
pp. 1959-1967 ◽  
Author(s):  
Pekka Pyykkö

Abstract After a compact history of the PT, from Döbereiner’s triads to the theoretical predictions up to element 172, a number of particular issues is discussed: Why may Z = 172 be a limit for stable electron shells? What are the expected stability limits of the nuclear isotopes? When are formally empty atomic orbitals used in molecular electronic structures? What is ‘Secondary Periodicity’? When do the elements (Ir, Pt, Au), at the end of a bond, simulate (N, O, I), respectively? Some new suggestions for alternative PTs are commented upon. As a local connection, Johan Gadolin’s 1794 analysis of the Ytterby mineral is mentioned.


2021 ◽  
Author(s):  
Menghan Li ◽  
Lin Li ◽  
Yixuan Fan ◽  
Le Huang ◽  
Dechao Geng ◽  
...  

2D metal oxides (2DMOs) has drawn intensive interests in the past few years owing to their rich surface chemistry and unique electronic structures. Striving for large-scale and high-quality novel 2DMOs...


2012 ◽  
Vol 502 ◽  
pp. 154-158 ◽  
Author(s):  
Hiroyuki Kawanishi ◽  
Yoshinori Hayafuji

It is known that acceptor-carbon complexes have ionization energies less than those of the corresponding substitutional, separate acceptors in silicon. We present the formation mechanism for a shallower acceptor energy level called an X level that is due to an indium- carbon pair. Ab initio calculation methods were used to evaluate electronic structures and lattice relaxations of silicon with indium, carbon or a carbon-indium dimer. The results shows that the bonding interaction between the 5p orbitals of the indium atom and the 3sp orbitals of the silicon atoms bound with the indium atom mainly determines the ionization energy of the X level, and the ionic bonding interaction of the carbon atomic orbitals with the indium atomic orbitals in the X level enables the bonding interaction of the orbitals between the indium atom and the silicon atom to lower the corresponding indium acceptor level, and then to form the shallower X level.


2009 ◽  
Vol 2 (1) ◽  
Author(s):  
Andrew Stuart Lang ◽  
David Kobilnyk

We demonstrate the usefulness of Second LifeTM as a platform for enlivening major concepts in chemistry education. These concepts include absorption spectra, selection rules, quantum numbers, and atomic orbital shapes. We have built several exhibits in Second Life which provide 3-dimensional interactivity for each of those areas: an interactive experiment showing the absorption spectrum of hydrogen, an interactive model of selection rules showing allowed and forbidden transitions for each state, a 3-dimensional grid of orbitals showing the constraints on the values of quantum numbers, and a large-scale interactive orbital display allowing the user to choose and rotate to-scale atomic orbitals based on quantum numbers.


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