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Nanoinformatics
Latest Publications
TOTAL DOCUMENTS
13
(FIVE YEARS 0)
H-INDEX
4
(FIVE YEARS 0)
Published By Springer Singapore
9789811076169, 9789811076176
Latest Documents
Most Cited Documents
Contributed Authors
Related Sources
Related Keywords
Latest Documents
Most Cited Documents
Contributed Authors
Related Sources
Related Keywords
Descriptors for Machine Learning of Materials Data
Nanoinformatics
◽
10.1007/978-981-10-7617-6_1
◽
2018
◽
pp. 3-23
◽
Cited By ~ 12
Author(s):
Atsuto Seko
◽
Atsushi Togo
◽
Isao Tanaka
Keyword(s):
Machine Learning
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Grain Boundary Engineering of Alumina Ceramics
Nanoinformatics
◽
10.1007/978-981-10-7617-6_11
◽
2018
◽
pp. 237-257
Author(s):
Satoshi Kitaoka
◽
Tsuneaki Matsudaira
◽
Takafumi Ogawa
◽
Naoya Shibata
◽
Miyuki Takeuchi
◽
...
Keyword(s):
Grain Boundary
◽
Grain Boundary Engineering
◽
Alumina Ceramics
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Persistent Homology and Materials Informatics
Nanoinformatics
◽
10.1007/978-981-10-7617-6_5
◽
2018
◽
pp. 75-95
◽
Cited By ~ 3
Author(s):
Mickaël Buchet
◽
Yasuaki Hiraoka
◽
Ippei Obayashi
Keyword(s):
Persistent Homology
◽
Materials Informatics
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Polyhedron and Polychoron Codes for Describing Atomic Arrangements
Nanoinformatics
◽
10.1007/978-981-10-7617-6_6
◽
2018
◽
pp. 97-130
Author(s):
Kengo Nishio
◽
Takehide Miyazaki
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Potential Energy Surface Mapping of Charge Carriers in Ionic Conductors Based on a Gaussian Process Model
Nanoinformatics
◽
10.1007/978-981-10-7617-6_2
◽
2018
◽
pp. 25-44
Author(s):
Kazuaki Toyoura
◽
Ichiro Takeuchi
Keyword(s):
Potential Energy
◽
Potential Energy Surface
◽
Gaussian Process
◽
Process Model
◽
Energy Surface
◽
Charge Carriers
◽
Ionic Conductors
◽
Surface Mapping
◽
Gaussian Process Model
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Machine Learning Predictions of Factors Affecting the Activity of Heterogeneous Metal Catalysts
Nanoinformatics
◽
10.1007/978-981-10-7617-6_3
◽
2018
◽
pp. 45-64
◽
Cited By ~ 10
Author(s):
Ichigaku Takigawa
◽
Ken-ichi Shimizu
◽
Koji Tsuda
◽
Satoru Takakusagi
Keyword(s):
Machine Learning
◽
Metal Catalysts
◽
Factors Affecting
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Machine Learning-Based Experimental Design in Materials Science
Nanoinformatics
◽
10.1007/978-981-10-7617-6_4
◽
2018
◽
pp. 65-74
◽
Cited By ~ 10
Author(s):
Thaer M. Dieb
◽
Koji Tsuda
Keyword(s):
Machine Learning
◽
Experimental Design
◽
Materials Science
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Structural Relaxation of Oxide Compounds from the High-Pressure Phase
Nanoinformatics
◽
10.1007/978-981-10-7617-6_12
◽
2018
◽
pp. 259-277
Author(s):
Hitoshi Yusa
Keyword(s):
High Pressure
◽
Structural Relaxation
◽
High Pressure Phase
◽
Pressure Phase
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Topological Data Analysis for the Characterization of Atomic Scale Morphology from Atom Probe Tomography Images
Nanoinformatics
◽
10.1007/978-981-10-7617-6_7
◽
2018
◽
pp. 133-155
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Cited By ~ 1
Author(s):
Tianmu Zhang
◽
Scott R. Broderick
◽
Krishna Rajan
Keyword(s):
Data Analysis
◽
Atom Probe Tomography
◽
Atom Probe
◽
Atomic Scale
◽
Topological Data Analysis
◽
Scale Morphology
◽
Topological Data
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Synthesis and Structures of Novel Solid-State Electrolytes
Nanoinformatics
◽
10.1007/978-981-10-7617-6_13
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2018
◽
pp. 279-298
Author(s):
Ryoji Kanno
◽
Genki Kobayashi
◽
Kota Suzuki
◽
Masaaki Hirayama
◽
Daisuke Mori
◽
...
Keyword(s):
Solid State
◽
Solid State Electrolytes
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