scholarly journals First principles thermodynamical modeling of the binodal and spinodal curves in lead chalcogenides

2016 ◽  
Vol 18 (6) ◽  
pp. 5005-5011 ◽  
Author(s):  
Demet Usanmaz ◽  
Pinku Nath ◽  
Jose J. Plata ◽  
Gus L. W. Hart ◽  
Ichiro Takeuchi ◽  
...  
Keyword(s):  
Ab Initio ◽  
Thermodynamic Modeling ◽  
High Throughput ◽  
Cluster Expansion ◽  
First Principles ◽  
Lead Chalcogenides ◽  
Thermodynamical Modeling

High-throughput ab initio calculations, cluster expansion techniques, and thermodynamic modeling have been synergistically combined to characterize the binodal and the spinodal decompositions features in the pseudo-binary lead chalcogenides PbSe–PbTe, PbS–PbTe, and PbS–PbSe.

Stable hybrid organic–inorganic halide perovskites for photovoltaics from ab initio high-throughput calculations

2018 ◽  
Vol 6 (15) ◽  
pp. 6463-6475 ◽  
Author(s):  
Sabine Körbel ◽  
Miguel A. L. Marques ◽  
Silvana Botti
Keyword(s):  
Ab Initio ◽  
Band Gap ◽  
Effective Mass ◽  
High Throughput ◽  
First Principles ◽  
First Principles Calculations ◽  
Hybrid Perovskite ◽  
Halide Perovskites ◽  
Stable Hybrid

By means of high-throughput first-principles calculations, we screen a large number of hypothetical hybrid perovskite compounds by stability, band gap and effective mass to find the best perovskites for photovoltaics.

Accelerated Discovery of High-Refractive-Index Polyimides via First-Principles Molecular Modeling, Virtual High-Throughput Screening, and Data Mining

2019 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann
Keyword(s):  
Data Mining ◽  
Refractive Index ◽  
High Throughput ◽  
First Principles ◽  
High Throughput Screening ◽  
Large Scale ◽  
Computational Study ◽  
High Refractive Index ◽  
Structural Features ◽  
Learning Program

<div>We present a high-throughput computational study to identify novel polyimides (PIs) with exceptional refractive index (RI) values for use as optic or optoelectronic materials. Our study utilizes an RI prediction protocol based on a combination of first-principles and data modeling developed in previous work, which we employ on a large-scale PI candidate library generated with the ChemLG code. We deploy the virtual screening software ChemHTPS to automate the assessment of this extensive pool of PI structures in order to determine the performance potential of each candidate. This rapid and efficient approach yields a number of highly promising leads compounds. Using the data mining and machine learning program package ChemML, we analyze the top candidates with respect to prevalent structural features and feature combinations that distinguish them from less promising ones. In particular, we explore the utility of various strategies that introduce highly polarizable moieties into the PI backbone to increase its RI yield. The derived insights provide a foundation for rational and targeted design that goes beyond traditional trial-and-error searches.</div>

Flexoelectricity in atomic monolayers from first principles

Nanoscale ◽  
2020 ◽  
Author(s):  
Shashikant Kumar ◽  
David Codony ◽  
Irene Arias ◽  
Phanish Suryanarayana
Keyword(s):  
Density Functional Theory ◽  
Transition Metal ◽  
Ab Initio ◽  
First Principles ◽  
Density Functional ◽  
Transition Metal Dichalcogenides ◽  
Functional Theory ◽  
Group Iii ◽  
Flexoelectric Effect ◽  
Metal Dichalcogenides

We study the flexoelectric effect in fifty-four select atomic monolayers using ab initio Density Functional Theory (DFT). Specifically, considering representative materials from each of Group III monochalcogenides, transition metal dichalcogenides...

Li Uptake in Carbon Nanotube Systems: A First Principles Investigation

2001 ◽  
Vol 706 ◽  
Author(s):  
Vincent Meunier ◽  
Jeremy Kephart ◽  
Christopher Roland ◽  
Jerry Bernholc
Keyword(s):  
Carbon Nanotube ◽  
Ab Initio ◽  
Ball Milling ◽  
First Principles ◽  
Topological Defects ◽  
Ion Bombardment ◽  
Ion Uptake ◽  
Li Ion ◽  
Pass Through ◽  
Non Equilibrium

AbstractCarbon nanotube systems can substantially increase their capacity for Li ion uptake, provided that the nanotube interiors become accessible to the ions. We examine theoretically, with ab initio simulations, the ability of Li ions to enter a nanotube interior. While our calculations show that it is quite unlikely for the ions to pass through pristine nanotubes, they are much more likely to enter via large-sized topological defects consisting of at least 9- or more membered rings. It is unlikely that such defects are formed spontaneously, but it may be possible to induce such topological defects by violent non-equilibrium means such as ball milling, chemical means and/or ion bombardment. Indeed, recent experiments on ball milled nanotube samples do report an important increase in the Li ion uptake.

scholarly journals Computational Methods for Ab Initio Molecular Dynamics

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Eric Paquet ◽  
Herna L. Viktor
Keyword(s):  
Molecular Dynamics ◽  
Quantum Mechanics ◽  
Ab Initio ◽  
First Principles ◽  
Density Functional ◽  
Path Integrals ◽  
Ab Initio Molecular Dynamics ◽  
Molecular Systems ◽  
Hartree Fock ◽  
Computational Perspective

Ab initio molecular dynamics is an irreplaceable technique for the realistic simulation of complex molecular systems and processes from first principles. This paper proposes a comprehensive and self-contained review of ab initio molecular dynamics from a computational perspective and from first principles. Quantum mechanics is presented from a molecular dynamics perspective. Various approximations and formulations are proposed, including the Ehrenfest, Born–Oppenheimer, and Hartree–Fock molecular dynamics. Subsequently, the Kohn–Sham formulation of molecular dynamics is introduced as well as the afferent concept of density functional. As a result, Car–Parrinello molecular dynamics is discussed, together with its extension to isothermal and isobaric processes. Car–Parrinello molecular dynamics is then reformulated in terms of path integrals. Finally, some implementation issues are analysed, namely, the pseudopotential, the orbital functional basis, and hybrid molecular dynamics.

ChemInform Abstract: High-Throughput ab initio Screening for Two-Dimensional Electride Materials.

ChemInform ◽  
2014 ◽  
Vol 45 (48) ◽  
pp. no-no
Author(s):  
Tomofumi Tada ◽  
Seiji Takemoto ◽  
Satoru Matsuishi ◽  
Hideo Hosono
Keyword(s):  
Ab Initio ◽  
High Throughput ◽  
Two Dimensional
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