Structure–Property Correlation Study for Organic Photovoltaic Polymer Materials Using Data Science Approach

2020 ◽  
Vol 124 (24) ◽  
pp. 12871-12882 ◽  
Author(s):  
Yue Huang ◽  
Jingtian Zhang ◽  
Edwin S. Jiang ◽  
Yutaka Oya ◽  
Akinori Saeki ◽  
...  
Keyword(s):  
Data Science ◽  
Correlation Study ◽  
Polymer Materials ◽  
Organic Photovoltaic ◽  
Structure Property ◽  
Property Correlation ◽  
Science Approach ◽  
Using Data

Structure-property correlation study through sum-over-state approach

2015 ◽  
Author(s):  
P. K. Nandi ◽  
K. Hatua ◽  
A. K. Bansh ◽  
N. Panja ◽  
T. K. Ghanty
Keyword(s):  
Correlation Study ◽  
Structure Property ◽  
Property Correlation

A Network Data Science Approach to People Analytics

2019 ◽  
Vol 32 (2) ◽  
pp. 28-51 ◽  
Author(s):  
Nan Wang ◽  
Evangelos Katsamakas
Keyword(s):  
Power Law ◽  
Data Science ◽  
Weighted Graph ◽  
Future Research ◽  
Network Data ◽  
Development Organization ◽  
Centrality Metrics ◽  
Science Approach ◽  
Future Research Directions ◽  
Using Data

The best companies compete with people analytics. They maximize the business value of their people to gain competitive advantage. This article proposes a network data science approach to people analytics. Using data from a software development organization, the article models developer contributions to project repositories as a bipartite weighted graph. This graph is projected into a weighted one-mode developer network to model collaboration. Techniques applied include centrality metrics, power-law estimation, community detection, and complex network dynamics. Among other results, the authors validate the existence of power-law relationships on project sizes (number of developers). As a methodological contribution, the article demonstrates how network data science can be used to derive a broad spectrum of insights about employee effort and collaboration in organizations. The authors discuss implications for managers and future research directions.

Vacancy mediated ionic conduction in Dy substituted nanoceria: a structure–property correlation study

RSC Advances ◽  
2015 ◽  
Vol 5 (62) ◽  
pp. 50186-50195 ◽  
Author(s):  
Sk. Anirban ◽  
Tanmoy Paul ◽  
Abhigyan Dutta
Keyword(s):  
Ionic Conduction ◽  
Correlation Study ◽  
Structure Property ◽  
Property Correlation

Origin of vacancies in ceria due to doping.

scholarly journals Study Of A Hybrid Photovoltaic-Wind Smart Microgrid Using Data Science Approach

2021 ◽  
Author(s):  
Josimar Edinson Chire Saire ◽  
Jose Armando Gastelo-Roque ◽  
Franco Canziani
Keyword(s):  
Data Science ◽  
Science Approach ◽  
Using Data

Role of B site ions in bifunctional oxygen electrocatalysis: a structure–property correlation study on doped Ca2Fe2O5 brownmillerites

2020 ◽  
Vol 22 (27) ◽  
pp. 15520-15527
Author(s):  
Shibin Thundiyil ◽  
C. P. Vinod ◽  
Sreekumar Kurungot ◽  
R. Nandini Devi
Keyword(s):  
Transition Metal ◽  
Correlation Study ◽  
Structure Property ◽  
Property Correlation ◽  
Metal Doped

Evaluation of activity descriptors for electrochemical bifunctional oxygen catalysis in transition metal doped Ca2Fe2O5 brownmillerite oxide.

Statistics, damned statistics and nanoscience – using data science to meet the challenge of nanomaterial complexity

2016 ◽  
Vol 1 (2) ◽  
pp. 89-95 ◽  
Author(s):  
Baichuan Sun ◽  
Michael Fernandez ◽  
Amanda S. Barnard
Keyword(s):  
Digital Technology ◽  
Data Science ◽  
Structure Property ◽  
Nano Structure ◽  
Detailed Understanding ◽  
Structure Property Relationships ◽  
Modern Methods ◽  
Using Data ◽  
The Way

Combining advances in digital technology and modern methods in statistics with a detailed understanding of nano-structure/property relationships can pave the way for more realistic predictions of nanomaterials performance.

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