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ISBN978-4-86043-759-6

last updated:Nov 18, 2021

エヌ・ティー・エス
エヌ・ティー・エス
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Ontology and mining, automatic control of measurement and experimental devices.

The full picture of "data-driven materials development" that accelerates materials informatics and innovates the experimental process! From ontology for materials exploration, extraction of literature information, measurement informatics to automatic control of experimental devices! The latest data-driven materials exploration, including new catalysts and battery materials.

    Other analytical equipmentDatabaseOther Hydrogen/Fuel Cells
202101020_データ_表紙B5_トンボなし.jpg

Data-driven materials development

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"Data-Driven Material Development: Ontology and Mining, Automated Control of Measurement and Experimental Devices" ■Format: B5 size, 290 pages ■Price: 52,000 yen + tax ■Supervised by: Kimito Funatsu ■Published by: NTS Introduction: Data-Driven Chemistry Transforming Research Methods Chapter 1: Development of Data-Driven Synthesis Pathways Chapter 2: Material Databases and Ontology Chapter 3: Knowledge Exploration in Material Design Chapter 4: Structure and Property Exploration and Machine Learning Chapter 5: Development of Novel Catalysts Chapter 6: Measurement Informatics Chapter 7: Automation in Experimental Chemistry Chapter 8: Development of High-Precision White-Box Machine Learning Methods Specialized for Material Development

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Applications/Examples of results

Materials Database Compound Database Polymer Material Design Material Design Natural Language Processing Technology Material Knowledge Exploration Ontology Machine Learning Deep Learning Inorganic Material Process Development Novel Catalyst Development Catalyst Informatics Measurement Informatics Nitride Semiconductors Semiconductor Devices Automation of Experiments Smart Lab Thin Film Material Development Material Sequencer Battery Materials, Magnetic Thermoelectric Materials

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[Purchase Application Form] Translation Materials Informatics - Exploration and Design -

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Development, evaluation, and practical application of next-generation power semiconductors.

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Innovative AI Drug Discovery: The Future of Drug Research Brought by Medical Big Data and Artificial Intelligence

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100 Selected Examples of Digital Transformation (DX)

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