Index Catalog // MDR

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

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

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

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

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

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

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

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

MDR metadata list

DICE common message format schema

SuperCon RDF Ver. 1.0

SuperCon Ontology

Tutorial for conditional generative adversarial network

Supercon 2 Dataset

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

Leveraging Segmentation of Physical Units through a Newly Open Source Corpus

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

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