ファイル種別: application/pdf

17 件のレコードが見つかりました。

TC071.png
MDR SuperCon Datasheet Readme Ver.2.0
その他
コレクション
MDR SuperCon Datasheet
著者
Masashi Ishii (editor) (この著者で検索)
ORCID SAMURAI
キーワード
SuperCon, Superconductors, Oxide, Metallic, Organic, Readme
刊行年月日
更新時刻
2024-05-14 16:30:22 +0900

Dataset
SuperCon RDF Ver. 1.1
データセット
コレクション
SuperCon Knowledge Collection
著者
Masashi Ishii (author) (この著者で検索)
National Institute for Materials Science (NIMS) Center for Basic Research on Materials
ORCID SAMURAI
キーワード
SuperCon, RDF, Semantic web, Ontology, Super conductor
刊行年月日
2023-12-31
更新時刻
2024-01-05 22:12:58 +0900

NIMS polymer database PoLyInfo  III   modularizing ShEx schemas for descriptors and properties in PoLyInfoRDF.pdf
NIMS polymer database PoLyInfo (III): modularizing ShEx schemas for descriptors and properties in PoLyInfoRDF
ジャーナル論文
著者
Koichi Sakamoto (author) (この著者で検索)
National Institute for Materials Science
;
Masashi Ishii (author) (この著者で検索)
ORCID SAMURAI
キーワード
Polymer chemistry, PoLyInfo, ontology, schema, RDF, ShEx, SPARQL, modularization, standardization
刊行年月日
2025-12-31
更新時刻
2025-12-24 17:45:21 +0900

dfac008.pdf
Classification for transmission electron microscope images from different amorphous states using persistent homology
ジャーナル論文
著者
Fumihiko Uesugi (author) (この著者で検索)
ORCID SAMURAI ;
Masashi Ishii (author) (この著者で検索)
ORCID SAMURAI
キーワード
TEM image simulation, GaN, persistent homology, Amorphous structure
刊行年月日
2022-06-06
更新時刻
2024-07-04 16:32:11 +0900

Structuring superconductor data with ontology reproducing historical datasets as knowledge bases.pdf
Structuring Superconductor Data with Ontology: Reproducing Historical Datasets as Knowledge
ジャーナル論文
著者
Masashi Ishii (author) (この著者で検索)
National Institute for Materials Science (NIMS) Center for Basic Research on Materials
ORCID SAMURAI ;
Koichi Sakamoto (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials
キーワード
ontology, RDF, SuperCon, superconducting material, knowledge base
刊行年月日
2023-12-31
更新時刻
2024-01-05 22:11:32 +0900

NIMS polymer database PoLyInfo  II   machine-readable standardization of polymer knowledge expression.pdf
NIMS polymer database PoLyInfo (II): machine-readable standardization of polymer knowledge expression
ジャーナル論文
著者
Masashi Ishii (author) (この著者で検索)
ORCID SAMURAI ;
Takuro Ito (author) (この著者で検索)
;
Koichi Sakamoto (author) (この著者で検索)
キーワード
PoLyInfo, ontology, schema, RDF, ShEx, SPARQL, linked data
刊行年月日
2024-12-31
更新時刻
2024-07-11 16:30:21 +0900

DCMI2024.pdf
Cross-searching of datasets by linking repository and vocabulary management in material data platform
プレゼンテーション
著者
Kosuke Tanabe (author) (この著者で検索)
National Institute for Materials Science Research Network and Facility Services Division/Materials Data Platform/Data Infrastructure Unit
ORCID SAMURAI ;
Asahiko Matsuda (author) (この著者で検索)
National Institute for Materials Science Research Network and Facility Services Division/Materials Data Platform/Data Collection Unit
ORCID SAMURAI ;
Masashi Ishii (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Materials Modeling Group
ORCID SAMURAI
キーワード
metadata schema, data repository, cross search, XAFS DB
刊行年月日
更新時刻
2025-07-11 16:30:36 +0900

NIMS polymer database PoLyInfo  I   an overarching view of half a million data points (1).pdf
NIMS polymer database PoLyInfo (I): an overarching view of half a million data points
ジャーナル論文
著者
Masashi Ishii (author) (この著者で検索)
ORCID SAMURAI ;
Takuro Ito (author) (この著者で検索)
;
Hiroko Sado (author) (この著者で検索)
;
Isao Kuwajima (author) (この著者で検索)
ORCID SAMURAI
キーワード
polymer, database, PoLyInfo, human-readable, data curation, lexicon, structure determination
刊行年月日
2024-12-31
更新時刻
2024-07-11 16:30:18 +0900

Mining experimental data from materials science literature with large language models  an evaluation study.pdf
Mining experimental data from materials science literature with large language models: an evaluation study
ジャーナル論文
著者
ORCID ; ORCID SAMURAI ;
Toshiyuki Amagasa (author) (この著者で検索)
; ORCID SAMURAI
キーワード
Large language models, benchmark, NER, TDM, evaluation, materials science
刊行年月日
2024-12-31
更新時刻
2024-10-24 16:30:23 +0900

絞り込み