High-throughput and data mining with ab initio methods

2004 ◽  
Vol 16 (1) ◽  
pp. 296-301 ◽  
Author(s):  
Dane Morgan ◽  
Gerbrand Ceder ◽  
Stefano Curtarolo
Keyword(s):  
Data Mining ◽  
Ab Initio ◽  
High Throughput ◽  
Ab Initio Methods

Determination of acidic dissociation constants of L-phenylalanyl-glycine and L-alanyl-L-alanine in water using ab initio methods

2014 ◽  
Vol 2 (42) ◽  
pp. 263-263
Author(s):  
Farhoush Kiani ◽  
Mahmoud Tajbakhsh ◽  
Fereydoon Ashrafi ◽  
Nesa Shafiei ◽  
Azar Bahadori ◽  
...  
Keyword(s):  
Ab Initio ◽  
Dissociation Constants ◽  
Ab Initio Methods ◽  
Acidic Dissociation

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>

Study of the structure and stability of aqua ions La(H2O) n 3+ (n = 8, 9) by ab initio methods

2008 ◽  
Vol 53 (8) ◽  
pp. 1249-1255 ◽  
Author(s):  
V. Yu. Buz’ko ◽  
I. V. Sukhno ◽  
M. B. Buz’ko ◽  
A. A. Polushin ◽  
V. T. Panyushkin
Keyword(s):  
Ab Initio ◽  
Ab Initio Methods ◽  
Structure And Stability

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
Sign in / Sign up

Export Citation Format

Share Document