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machine learning
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Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
Description/Abstract:
For rapid and efficient development of new phosphors, a suitable method that proposes promising candidates is expected to focus time-cons...
Keyword:
Eu2+
,
emission spectrum
,
luminescence
,
machine learning
,
materials design
, and
phosphor
Resource Type:
Article
Author:
Yukinori Koyama
,
Hidekazu Ikeno
,
Masamichi Harada
,
Shiro Funahashi
,
Takashi Takeda
, and
Naoto Hirosaki
Date Uploaded:
20/01/2023
Supercon 2 Dataset
Description/Abstract:
The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials...
Keyword:
tdm
,
materials science
,
superconductors
,
machine learning
, and
dataset
Resource Type:
Dataset
Data origin:
informatics and data science
Author:
Luca Foppiano
Date Uploaded:
11/10/2022
Date Modified:
10/11/2022
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
Description/Abstract:
The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials...
Keyword:
tdm
,
machine learning
,
materials science
,
superconductors
, and
database
Resource Type:
Article
Author:
Foppiano Luca
,
Pedro Baptista de Castro
,
Pedro Ortiz Suarez
,
Kensei Terashima
,
Yoshihiko Takano
, and
Masashi Ishii
Date Uploaded:
11/10/2022
Date Modified:
08/11/2022
Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
Description/Abstract:
We present Grobid-quantities, an open-source application for extracting and normalising measurements from scientific and patent literatur...
Keyword:
machine learning
,
physical quantities
, and
tdm
Resource Type:
Conference Proceeding
Author:
FOPPIANO, Luca
,
ROMARY, Laurent
,
ISHII, Masashi
, and
TANIFUJI, Mikiko
Journal:
DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019
Date Uploaded:
15/01/2021
Date Modified:
01/07/2021
SuperMat: Construction of a linked annotated dataset from superconductors-related publications
Description/Abstract:
A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) proc...
Keyword:
machine learning
,
superconductors
, and
tdm
Resource Type:
Dataset
Data origin:
informatics and data science
Author:
ROMARY, Laurent
,
ESPARZA, Miren
,
TERASHIMA, Kensei
,
IWASAKI, Suguru
,
MENG, Yan
,
SUZUKI, Akira
,
CASTRO, Pedro
,
FOPPIANO, Luca
,
UZUKI, Azusa
,
TAKANO, Yoshihiko
, and
DIEB, Sae
Date Uploaded:
07/01/2021
Date Modified:
14/10/2022
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Association for Computing Machinery
1
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Creative Commons BY Attribution 4.0 International
2
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informatics and data science
2
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FOPPIANO, Luca
2
ROMARY, Laurent
2
CASTRO, Pedro
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DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019
1