scholarly journals ELECTRONIC STRUCTURE OF MOLECULAR RYDBERG STATES OF SOME SMALL MOLECULES AND MOLECULAR ION

1993 ◽  
Vol 42 (1) ◽  
pp. 25
Author(s):  
SUN BIAO ◽  
LI JIA-MING
2017 ◽  
Vol 19 (20) ◽  
pp. 13195-13209 ◽  
Author(s):  
Johann Lüder ◽  
Mun Ho Cheow ◽  
Sergei Manzhos

In this paper, we present a systematic study of the effects of p- and n-doping in small molecules on the voltage and capacity of organic electrode materials for electrochemical batteries.


2019 ◽  
Vol 21 (41) ◽  
pp. 23017-23025 ◽  
Author(s):  
Sonia Marggi Poullain ◽  
David V. Chicharro ◽  
Alexandre Zanchet ◽  
Luis Rubio-Lago ◽  
Alberto García-Vela ◽  
...  

Photodissociation dynamics of the ethyl radical from the 3s vs. 3p Rydberg states studied by velocity map imaging and ab initio electronic structure calculations.


2001 ◽  
Vol 79 (2-3) ◽  
pp. 673-679
Author(s):  
J D Talman

The Hartree–Fock wave functions for the ground state of the H2 molecule and the H+3 molecular ion are computed using radial orbitals that are numerically optimized. It is shown that these orbitals yield results comparable in accuracy to those obtained using much larger bases of Gaussian orbitals. As in previous calculations, the equilibrium geometry for H+3 is found to be that of an equilateral triangle, with an interatomic spacing of 1.64a0. PACS No.: 13.15+q


2017 ◽  
Vol 95 (1) ◽  
Author(s):  
Andrés Felipe Ordóñez-Lasso ◽  
Fernando Martín ◽  
José Luis Sanz-Vicario

2018 ◽  
Author(s):  
Clemence Corminboeuf ◽  
Michele Certiotti ◽  
benjamin meyer ◽  
Alberto Fabrizio ◽  
Andrea Grisafi ◽  
...  

<p>We introduce an atom-centered, symmetry-adapted framework to machine-learn the valence charge density based on a small number of reference calculations. The model is highly transferable, meaning it can be trained on electronic-structure data of small molecules and used to predict the charge density of larger compounds with low, linear-scaling cost.</p>


2018 ◽  
Author(s):  
Clemence Corminboeuf ◽  
Michele Certiotti ◽  
benjamin meyer ◽  
Alberto Fabrizio ◽  
Andrea Grisafi ◽  
...  

<p>We introduce an atom-centered, symmetry-adapted framework to machine-learn the valence charge density based on a small number of reference calculations. The model is highly transferable, meaning it can be trained on electronic-structure data of small molecules and used to predict the charge density of larger compounds with low, linear-scaling cost.</p>


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