Literature DB >> 35504964

A database of refractive indices and dielectric constants auto-generated using ChemDataExtractor.

Jiuyang Zhao1, Jacqueline M Cole2,3,4.   

Abstract

The ability to auto-generate databases of optical properties holds great potential for advancing optical research, especially with regards to the data-driven discovery of optical materials. An optical property database of refractive indices and dielectric constants is presented, which comprises a total of 49,076 refractive index and 60,804 dielectric constant data records on 11,054 unique chemicals. The database was auto-generated using the state-of-the-art natural language processing software, ChemDataExtractor, using a corpus of 388,461 scientific papers. The data repository offers a representative overview of the information on linear optical properties that resides in scientific papers from the past 30 years. Public availability of these data will enable a quick search for the optical property of certain materials. The large size of this repository will accelerate data-driven research on the design and prediction of optical materials and their properties. To the best of our knowledge, this is the first auto-generated database of optical properties from a large number of scientific papers. We provide a web interface to aid the use of our database.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 35504964      PMCID: PMC9065060          DOI: 10.1038/s41597-022-01295-5

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   8.501


  10 in total

Review 1.  Applications of machine learning in drug discovery and development.

Authors:  Jessica Vamathevan; Dominic Clark; Paul Czodrowski; Ian Dunham; Edgardo Ferran; George Lee; Bin Li; Anant Madabhushi; Parantu Shah; Michaela Spitzer; Shanrong Zhao
Journal:  Nat Rev Drug Discov       Date:  2019-06       Impact factor: 84.694

2.  ChemDataExtractor: A Toolkit for Automated Extraction of Chemical Information from the Scientific Literature.

Authors:  Matthew C Swain; Jacqueline M Cole
Journal:  J Chem Inf Model       Date:  2016-10-06       Impact factor: 4.956

3.  A Design-to-Device Pipeline for Data-Driven Materials Discovery.

Authors:  Jacqueline M Cole
Journal:  Acc Chem Res       Date:  2020-02-25       Impact factor: 22.384

4.  A database of refractive indices and dielectric constants auto-generated using ChemDataExtractor.

Authors:  Jiuyang Zhao; Jacqueline M Cole
Journal:  Sci Data       Date:  2022-05-03       Impact factor: 8.501

5.  A database of battery materials auto-generated using ChemDataExtractor.

Authors:  Shu Huang; Jacqueline M Cole
Journal:  Sci Data       Date:  2020-08-06       Impact factor: 6.444

6.  Auto-generated materials database of Curie and Néel temperatures via semi-supervised relationship extraction.

Authors:  Callum J Court; Jacqueline M Cole
Journal:  Sci Data       Date:  2018-06-19       Impact factor: 6.444

7.  Comparative dataset of experimental and computational attributes of UV/vis absorption spectra.

Authors:  Edward J Beard; Ganesh Sivaraman; Álvaro Vázquez-Mayagoitia; Venkatram Vishwanath; Jacqueline M Cole
Journal:  Sci Data       Date:  2019-12-05       Impact factor: 6.444

8.  Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging.

Authors:  Swapnesh Panigrahi; Sylvain Gioux
Journal:  J Biomed Opt       Date:  2018-12       Impact factor: 3.170

9.  An open experimental database for exploring inorganic materials.

Authors:  Andriy Zakutayev; Nick Wunder; Marcus Schwarting; John D Perkins; Robert White; Kristin Munch; William Tumas; Caleb Phillips
Journal:  Sci Data       Date:  2018-04-03       Impact factor: 6.444

  10 in total
  3 in total

Review 1.  Reconstructing Chromatic-Dispersion Relations and Predicting Refractive Indices Using Text Mining and Machine Learning.

Authors:  Jiuyang Zhao; Jacqueline M Cole
Journal:  J Chem Inf Model       Date:  2022-05-19       Impact factor: 6.162

2.  A database of refractive indices and dielectric constants auto-generated using ChemDataExtractor.

Authors:  Jiuyang Zhao; Jacqueline M Cole
Journal:  Sci Data       Date:  2022-05-03       Impact factor: 8.501

3.  Optical emissivity dataset of multi-material heterogeneous designs generated with automated figure extraction.

Authors:  Viktoriia Baibakova; Mahmoud Elzouka; Sean Lubner; Ravi Prasher; Anubhav Jain
Journal:  Sci Data       Date:  2022-09-29       Impact factor: 8.501

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.