Index Catalog // MDR

SuperCon RDF Ver. 1.0

Description/Abstract:: "SuperCon RDF" is an RDF version of the datasheets published in this collection based on the SuperCon Ontology (https://doi.org/10.48505/...
Keyword:: Ontology, RDF, SPARQL, Semantic Web, SuperCon, and Superconductors
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: Masashi Ishii
Date Uploaded:: 11/04/2023
Date Modified:: 19/07/2023

SuperCon Ontology

Description/Abstract:: "SuperCon Ontology" is the basic conceptual structure of SuperCon RDF (https://doi.org/10.48505/nims.3872), which is published in this co...
Keyword:: Ontology, RDF, SPARQL, Semantic Web, SuperCon, and Superconductors
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: Masashi Ishii
Date Uploaded:: 11/04/2023

Tutorial for conditional generative adversarial network

Description/Abstract:: This tutorial aims to give an introduction of how to use a deep generative model, conditional generative adversarial network (CGAN). The ...
Keyword:: Deep learning; Generative adversarial network; Inverse design; Microstructure; Mechanical metamaterial
Resource Type:: Software
Data origin:: informatics and data science
Author:: Xiaoyang Zheng, Ta-Te Chen, Xiaofeng Guo, Sadaki Samitsu, and Ikumu Watanabe
Journal:: Materials & Design
Date Uploaded:: 21/03/2023

A material dictionary database to extract information on permanent magnets from scientific articles

Description/Abstract:: In this study, we developed a new information extraction method using a material dictionary database (MDDB), which parses scientific arti...
Keyword:: information extraction, database, magnetic property, materials informatics, natural language processing, and ontology
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: Akira Suzuki
Date Uploaded:: 03/02/2023
Date Modified:: 19/03/2024

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

MDR metadata list

Description/Abstract:: MDR stores and manages materials data using a metadata set implemented by referring to the DICE common message format schema, used for co...
Keyword:: Materials informatics, Metadata, and Data repository
Resource Type:: Software or Program Code
Data origin:: informatics and data science
Date Uploaded:: 12/05/2021
Date Modified:: 26/11/2021

DICE common message format schema

Description/Abstract:: We have defined a common metadata schema for research dataset distribution/exchange/storage, with features for not only system-to-system ...
Keyword:: Materials informatics, Data management, System architecture, and Metadata
Resource Type:: Software or Program Code
Data origin:: informatics and data science
Date Uploaded:: 12/05/2021
Date Modified:: 26/11/2021

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:: DIEB, Sae, CASTRO, Pedro, ROMARY, Laurent, TAKANO, Yoshihiko, MENG, Yan, UZUKI, Azusa, ESPARZA, Miren, FOPPIANO, Luca, TERASHIMA, Kensei, SUZUKI, Akira, and IWASAKI, Suguru
Date Uploaded:: 07/01/2021
Date Modified:: 14/10/2022

Machine extraction of polymer data from tables using XML versions of scientific articles

Description/Abstract:: In this study, we examined machine extraction of polymer data from tables in scientific articles. The extraction system consists of five ...
Keyword:: XML, informatics, machine extraction, polymer data, and table
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: YOSHIZAWA, Atsushi, OKA, Hiroyuki, MATSUMOTO, Yuji, ISHII, Masashi, and SHINDO, Hiroyuki
Date Modified:: 25/02/2021

Leveraging Segmentation of Physical Units through a Newly Open Source Corpus

Description/Abstract:: The identification of physical measurements is a recurrent need in materials informatics (MI). For example, the extraction of superconduc...
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: FOPPIANO, Luca, TANIFUJI, Mikiko, ISHII, Masashi, DIEB M. Thear, and SUZUKI, Akira
Date Uploaded:: 25/10/2019
Date Modified:: 15/06/2020

SuperCon RDF Ver. 1.0

SuperCon Ontology

Tutorial for conditional generative adversarial network

A material dictionary database to extract information on permanent magnets from scientific articles

Supercon 2 Dataset

MDR metadata list

DICE common message format schema

SuperMat: Construction of a linked annotated dataset from superconductors-related publications

Machine extraction of polymer data from tables using XML versions of scientific articles

Leveraging Segmentation of Physical Units through a Newly Open Source Corpus

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