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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) pro...
Keyword:
annotation
,
annotation guidelines
,
dataset
,
superconductors
, and
tdm
Resource Type:
Article
Author:
FOPPIANO, Luca
,
DIEB, Sae
,
SUZUKI, Akira
,
BAPTISTA DE CASTRO, Pedro
,
IWASAKI, Suguru
,
UZUKI, Azusa
,
ESPARZA ECHEVARRIA, Miren Garbine
,
MENG, Yan
,
TERASHIMA, Kensei
,
TAKANO, Yoshihiko
, and
ISHII, Masashi
Date Uploaded:
07/01/2021
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:
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
Microbubble flows in superwettable fluidic channels
Description/Abstract:
The control of bubble adhesion underwater is important for various applications, yet the dynamics under flow conditions are still to be u...
Keyword:
microbubble
and
superwettability
Resource Type:
Article
Author:
Doi, Kotaro
,
Naito, Masanobu
, and
Tenjimbayashi, Mizuki
Journal:
RSC Advances
Date Uploaded:
02/01/2021
Date Modified:
18/10/2022
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
Description/Abstract:
Machine learning is emerging as a powerful tool for the discovery of novel high-performance functional materials. However, experimental d...
Keyword:
Machine learning
,
active learning
, and
adhesive
Resource Type:
Article
Author:
Pruksawan, Sirawit
,
Lambard, Guillaume
,
Samitsu, Sadaki
,
Sodeyama, Keitaro
, and
Naito, Masanobu
Journal:
Science and Technology of Advanced Materials
Date Uploaded:
02/01/2021
Date Modified:
18/10/2022
Automatic Experimental Data Collection System Using a Wireless LAN Capable SD Card as an IoT Device
Description/Abstract:
実験・計算・データ科学を融合させた材料の研究開発を推進するマテリアルズインフォマティクス(MI)が推進されているが、実験データの収集については既存データベースのインポートや出版済み論文のデータマイニングに限られる場合が多い。効果的な MI のためには各種装置から自動的に実験...
Keyword:
FlashAir
,
IoT
,
Wi-Fi
, and
data transfer
Resource Type:
Presentation
Author:
MATSUDA, Asahiko
,
YOSHIKAWA, Hideki
, and
CHIKYOW, Toyohiro
Date Uploaded:
23/10/2020
Date Modified:
01/07/2021
Materials metadata: as a custom schema, as directories, or in a data package
Description/Abstract:
Metadata for a research dataset can be about the dataset's bibliographic properties as well as their scientific properties. The scientifi...
Keyword:
data platform
,
materials informatics
, and
metadata
Resource Type:
Poster
Author:
MATSUDA, Asahiko
,
TANABE, Kosuke
,
KADOHIRA, Takuya
, and
TANIFUJI, Mikiko
Date Uploaded:
23/10/2020
Date Modified:
01/07/2021
Examples of SQS (special quasirandom structure) models for arbitrary binary bcc (body centered cubic) and hcp (hexagonal close packed) structures
Description/Abstract:
These atomic coordinates are examples of SQS (special quasirandom structure) models for arbitrary binary bcc (body centered cubic) and hc...
Keyword:
Debye model
,
First-principles calculation
,
Sommerfeld model
,
quasi-harmonic vibrational contribution
, and
titanium alloys
Resource Type:
Dataset
Data origin:
simulations
Author:
SAHARA, Ryoji
Date Uploaded:
09/10/2020
Date Modified:
20/10/2020
Monte Carlo tree search for materials design and discovery
Description/Abstract:
Materials design and discovery can be represented as selecting the optimal structure from a space of candidates that optimizes a target p...
Keyword:
Materials design and discovery
Resource Type:
Article
Author:
Ju, Shenghong
,
Tsuda, Koji
,
Dieb, Thaer M.
, and
Shiomi, Junichiro
Journal:
MRS Communications
Date Uploaded:
02/10/2020
Date Modified:
16/10/2020
Structure prediction of boron-doped graphene by machine learning
Description/Abstract:
Heteroatom doping has endowed graphene with manifold aspects of material properties and boosted its applications. The atomic structure de...
Keyword:
Materials design
and
Monte Carlo tree search
Resource Type:
Article
Author:
Hou, Zhufeng
,
Tsuda, Koji
, and
Dieb, Thaer M.
Journal:
The Journal of Chemical Physics
Date Uploaded:
02/10/2020
Date Modified:
16/10/2020
MDTS: automatic complex materials design using Monte Carlo tree search
Description/Abstract:
Complex materials design is often represented as a black-box combinatorial optimization problem. In this paper, we present a novel python...
Keyword:
Monte Carlo tree search
and
materials design
Resource Type:
Article
Author:
Ju, Shenghong
,
Tsuda, Koji
,
Shiomi, Junichiro
,
Yoshizoe, Kazuki
,
Dieb, Thaer M.
, and
Hou, Zhufeng
Journal:
Science and Technology of Advanced Materials
Date Uploaded:
02/10/2020
Date Modified:
16/10/2020
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MDR phonon calculation database
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Thermophysical Property Original Datasets
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Lattice thermal conductivity calculation datasets for 103 binary compounds by finite displacement method
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Silver (Ag) nanowire coated with polyvinilpirrolydone (PVP)
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TODOROKI, Shin-ichi
1
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Atsushi Togo
10,140
Ikumu Watanabe
26
Kosuke Minami
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Ta-Te Chen
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Masashi Ishii
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TODOROKI, Shin-ichi
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Photron Ltd.
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Japan Society for the Promotion of Science
23
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11
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phonopy
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10,137
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103
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Scientific Reports
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